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Reality Behind the SSD Shortage","heading-4",{"data":12761,"content":12762,"nodeType":1195},{},[12763],{"data":12764,"marks":12765,"value":12766,"nodeType":1194},{},[],"The enterprise SSD shortage is real. Lead times are longer, prices are less predictable, and flash capacity is increasingly allocated to AI infrastructure. Most industry forecasts suggest flash supply constraints will persist for years rather than quarters. ",{"data":12768,"content":12769,"nodeType":1195},{},[12770],{"data":12771,"marks":12772,"value":12773,"nodeType":1194},{},[],"But for most organizations, supply isn't the primary constraint. The larger issue is how much of their existing flash never becomes usable capacity because of architectural inefficiencies.\n",{"data":12775,"content":12776,"nodeType":12759},{},[12777],{"data":12778,"marks":12779,"value":12781,"nodeType":1194},{},[12780],{"type":12757},"What Is the Enterprise SSD Shortage?",{"data":12783,"content":12784,"nodeType":1195},{},[12785],{"data":12786,"marks":12787,"value":12788,"nodeType":1194},{},[],"The enterprise SSD shortage is a sustained imbalance between supply and demand for NAND flash storage, leading to increased costs, longer procurement cycles, and limited availability for enterprise infrastructure.",{"data":12790,"content":12791,"nodeType":1195},{},[12792],{"data":12793,"marks":12794,"value":12795,"nodeType":1194},{},[],"This imbalance affects NVMe and enterprise SSD markets broadly. It is driven by structural changes in how memory is produced, allocated, and consumed across the technology ecosystem.",{"data":12797,"content":12798,"nodeType":1195},{},[12799],{"data":12800,"marks":12801,"value":12802,"nodeType":1194},{},[],"AI storage demand and hyperscaler infrastructure growth are driving most of this imbalance, consuming flash at unprecedented scale.",{"data":12804,"content":12805,"nodeType":1195},{},[12806],{"data":12807,"marks":12808,"value":12809,"nodeType":1194},{},[],"For enterprise teams, the impact shows up in practical ways:",{"data":12811,"content":12812,"nodeType":12844},{},[12813,12824,12834],{"data":12814,"content":12815,"nodeType":12823},{},[12816],{"data":12817,"content":12818,"nodeType":1195},{},[12819],{"data":12820,"marks":12821,"value":12822,"nodeType":1194},{},[],"Procurement timelines that are harder to predict","list-item",{"data":12825,"content":12826,"nodeType":12823},{},[12827],{"data":12828,"content":12829,"nodeType":1195},{},[12830],{"data":12831,"marks":12832,"value":12833,"nodeType":1194},{},[],"Budgeting cycles that must account for price volatility",{"data":12835,"content":12836,"nodeType":12823},{},[12837],{"data":12838,"content":12839,"nodeType":1195},{},[12840],{"data":12841,"marks":12842,"value":12843,"nodeType":1194},{},[],"Capacity planning that requires more forward-looking assumptions","unordered-list",{"data":12846,"content":12847,"nodeType":1195},{},[12848],{"data":12849,"marks":12850,"value":12851,"nodeType":1194},{},[],"This shortage is severe, and it's going to last. It is not a temporary disruption. It is the result of long-term shifts in demand and manufacturing priorities.\n",{"data":12853,"content":12854,"nodeType":12759},{},[12855],{"data":12856,"marks":12857,"value":12859,"nodeType":1194},{},[12858],{"type":12757},"What's Causing the SSD Shortage?",{"data":12861,"content":12862,"nodeType":12868},{},[12863],{"data":12864,"marks":12865,"value":12867,"nodeType":1194},{},[12866],{"type":12757},"NAND Supply Is Being Redirected to AI Memory (HBM)","heading-5",{"data":12870,"content":12871,"nodeType":1195},{},[12872],{"data":12873,"marks":12874,"value":12875,"nodeType":1194},{},[],"The intuitive assumption is that manufacturers can simply shift production between NAND and High Bandwidth Memory (HBM) as demand changes. In practice, it doesn't work that way. HBM, the memory used in AI accelerators, commands significantly higher margins and is experiencing explosive demand. But production isn't controlled by a short-term switch. Wafer allocation and fabrication investments are planned years in advance, and modern fabs are highly specialized.",{"data":12877,"content":12878,"nodeType":1195},{},[12879],{"data":12880,"marks":12881,"value":12882,"nodeType":1194},{},[],"As a result, enterprise storage increasingly competes with AI infrastructure for manufacturing capacity, investment, and advanced-node production. Even as semiconductor output grows, the portion available for traditional storage does not necessarily grow with it.\n",{"data":12884,"content":12885,"nodeType":12868},{},[12886],{"data":12887,"marks":12888,"value":12890,"nodeType":1194},{},[12889],{"type":12757},"AI and Hyperscaler Demand Is Surging",{"data":12892,"content":12893,"nodeType":1195},{},[12894],{"data":12895,"marks":12896,"value":12897,"nodeType":1194},{},[],"At the same time, demand for flash is accelerating.",{"data":12899,"content":12900,"nodeType":1195},{},[12901],{"data":12902,"marks":12903,"value":12904,"nodeType":1194},{},[],"AI training and inference workloads are generating and retaining massive volumes of data. Hyperscalers are scaling infrastructure aggressively to support these workloads, purchasing flash at volumes that far exceed typical enterprise demand.",{"data":12906,"content":12907,"nodeType":1195},{},[12908,12912,12920],{"data":12909,"marks":12910,"value":12911,"nodeType":1194},{},[],"Inference is also creating an entirely new category of high-performance storage demand: context memory. As Derrick Harris ",{"data":12913,"content":12915,"nodeType":1814},{"uri":12914},"..\u002F..\u002Fblog\u002Fkvcache-context-memory-storage",[12916],{"data":12917,"marks":12918,"value":12919,"nodeType":1194},{},[],"detailed in a recent blog post",{"data":12921,"marks":12922,"value":12923,"nodeType":1194},{},[],", the KV cache footprint of a single 128k-token LLM conversation runs roughly 61 GB. At 100,000 concurrent users with a 64k-token average prompt and 15-conversation retention, that math lands at 45 PB of context memory storage per deployment. The category effectively didn't exist two years ago. It's now one of the fastest-growing consumers of high-performance flash.",{"data":12925,"content":12926,"nodeType":1195},{},[12927],{"data":12928,"marks":12929,"value":12930,"nodeType":1194},{},[],"The result is a market dynamic where a small number of large buyers absorb a disproportionate share of supply, leaving less available for enterprise infrastructure.\n",{"data":12932,"content":12933,"nodeType":12868},{},[12934],{"data":12935,"marks":12936,"value":12938,"nodeType":1194},{},[12937],{"type":12757},"Supply Chain and Geopolitical Constraints",{"data":12940,"content":12941,"nodeType":1195},{},[12942],{"data":12943,"marks":12944,"value":12945,"nodeType":1194},{},[],"Flash manufacturing is highly concentrated geographically, introducing additional fragility into the supply chain.",{"data":12947,"content":12948,"nodeType":1195},{},[12949],{"data":12950,"marks":12951,"value":12952,"nodeType":1194},{},[],"Trade restrictions and export controls also affect availability. Even localized disruptions can cascade across global supply and pricing.",{"data":12954,"content":12955,"nodeType":1195},{},[12956],{"data":12957,"marks":12958,"value":12959,"nodeType":1194},{},[],"This creates a supply environment that is not only constrained, but also difficult to predict and plan around.",{"data":12961,"content":12962,"nodeType":12759},{},[12963],{"data":12964,"marks":12965,"value":12967,"nodeType":1194},{},[12966],{"type":12757},"\n\nHow Long Will the SSD Shortage Last?",{"data":12969,"content":12970,"nodeType":1195},{},[12971,12975,12985],{"data":12972,"marks":12973,"value":12974,"nodeType":1194},{},[],"Pua Khein-Seng, CEO of ",{"data":12976,"content":12978,"nodeType":1814},{"uri":12977},"https:\u002F\u002Fwww.tomshardware.com\u002Fpc-components\u002Fstorage\u002Fnand-shortages-could-last-up-to-10-years-warns-phison-ceo-customers-told-to-prepare-for-tight-supply",[12979],{"data":12980,"marks":12981,"value":12984,"nodeType":1194},{},[12982],{"type":12983},"underline","Phison",{"data":12986,"marks":12987,"value":12988,"nodeType":1194},{},[]," (the world's largest independent provider of SSD controllers), has been blunt about the timeline:",{"data":12990,"content":12991,"nodeType":12999},{},[12992],{"data":12993,"content":12994,"nodeType":1195},{},[12995],{"data":12996,"marks":12997,"value":12998,"nodeType":1194},{},[],"NAND will face severe shortages next year. I think supply will be tight for the next ten years.","blockquote",{"data":13001,"content":13002,"nodeType":1195},{},[13003],{"data":13004,"marks":13005,"value":13006,"nodeType":1194},{},[],"Ten years isn't a forecast people make casually, and Khein-Seng isn't given to drama. The forecast lines up with several long-term structural trends:",{"data":13008,"content":13009,"nodeType":12844},{},[13010,13020,13030],{"data":13011,"content":13012,"nodeType":12823},{},[13013],{"data":13014,"content":13015,"nodeType":1195},{},[13016],{"data":13017,"marks":13018,"value":13019,"nodeType":1194},{},[],"Continued expansion of AI infrastructure",{"data":13021,"content":13022,"nodeType":12823},{},[13023],{"data":13024,"content":13025,"nodeType":1195},{},[13026],{"data":13027,"marks":13028,"value":13029,"nodeType":1194},{},[],"Ongoing prioritization of HBM over NAND",{"data":13031,"content":13032,"nodeType":12823},{},[13033],{"data":13034,"content":13035,"nodeType":1195},{},[13036],{"data":13037,"marks":13038,"value":13039,"nodeType":1194},{},[],"Persistent hyperscaler demand",{"data":13041,"content":13042,"nodeType":1195},{},[13043],{"data":13044,"marks":13045,"value":13046,"nodeType":1194},{},[],"The effects are already visible beyond traditional enterprise infrastructure. Some cloud providers have begun introducing storage allocation controls for large expansions, highlighting that flash scarcity is affecting even environments historically viewed as elastic.",{"data":13048,"content":13049,"nodeType":1195},{},[13050],{"data":13051,"marks":13052,"value":13053,"nodeType":1194},{},[],"For enterprise teams, this means planning for constrained availability as the baseline. Any procurement strategy that assumes a return to previous norms is misaligned with market reality.\n",{"data":13055,"content":13056,"nodeType":12759},{},[13057],{"data":13058,"marks":13059,"value":13061,"nodeType":1194},{},[13060],{"type":12757},"The Bigger Issue: Architecture Is Eating Your Flash",{"data":13063,"content":13064,"nodeType":1195},{},[13065],{"data":13066,"marks":13067,"value":13068,"nodeType":1194},{},[],"Supply constraints are real, but they aren’t what limits most enterprises. In most environments, a large share of flash never becomes usable capacity — lost to replication, overprovisioning, siloed systems, and stranded allocation before a single workload runs.",{"data":13070,"content":13071,"nodeType":1195},{},[13072],{"data":13073,"marks":13074,"value":13075,"nodeType":1194},{},[],"The shortage is set by the market. How much of your flash you actually use is set by your architecture.",{"data":13077,"content":13078,"nodeType":1195},{},[13079],{"data":13080,"marks":13081,"value":13082,"nodeType":1194},{},[],"That’s also why buying more SSDs rarely helps: in an inefficient architecture, added capacity scales the waste alongside it, so teams keep feeling pressure even after expanding. The organizations getting through this shortage cleanly are focused on efficiency, not procurement.",{"data":13084,"content":13085,"nodeType":1195},{},[13086,13090,13098],{"data":13087,"marks":13088,"value":13089,"nodeType":1194},{},[],"Efficiency is the variable you actually control, and it starts with measuring how much of your flash the system itself consumes. 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The result is more usable capacity from every drive deployed and less dependence on new hardware purchases.",{"data":13165,"content":13166,"nodeType":1195},{},[13167,13171,13179,13183,13190],{"data":13168,"marks":13169,"value":13170,"nodeType":1194},{},[],"In one jointly published Solidigm and VAST analysis (",{"data":13172,"content":13174,"nodeType":1814},{"uri":13173},"https:\u002F\u002Fwww.solidigm.com\u002Fproducts\u002Ftechnology\u002Feconomics-of-exabyte-data-storage.html",[13175],{"data":13176,"marks":13177,"value":13178,"nodeType":1194},{},[],"Economics of Exabyte Data Storage",{"data":13180,"marks":13181,"value":13182,"nodeType":1194},{},[],"), combining ",{"data":13184,"content":13186,"nodeType":1814},{"uri":13185},"..\u002F..\u002Fplatform\u002Fdatastore",[13187],{"data":13188,"marks":13189,"value":3147,"nodeType":1194},{},[],{"data":13191,"marks":13192,"value":13193,"nodeType":1194},{},[]," with Solidigm's 122 TB QLC drives compressed an exabyte of storage from 52 racks to 5 and reduced TCO by nearly 60% compared to HDD-based alternatives. Same workloads, same data, dramatically less hardware.\n",{"data":13195,"content":13196,"nodeType":12759},{},[13197],{"data":13198,"marks":13199,"value":13201,"nodeType":1194},{},[13200],{"type":12757},"Planning for a Multi-Year Shortage",{"data":13203,"content":13204,"nodeType":1195},{},[13205],{"data":13206,"marks":13207,"value":13208,"nodeType":1194},{},[],"Most forecasts point to years of constrained flash supply, not quarters, so treat tight availability as the baseline rather than a phase to wait out. 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SSD Dry Year: The Impact of AI Inference on Cloud-Based Storage Services and NAND Economics","navigating-ssd-dry-year-the-impact-of-ai-inference-on-cloud-based-storage-services-and-nand-economics","2026-05-07",{"metadata":13446,"sys":13449,"fields":13459},{"tags":13447,"concepts":13448},[],[],{"space":13450,"id":13452,"type":14,"createdAt":13453,"updatedAt":13454,"environment":13455,"publishedVersion":751,"revision":900,"contentType":13457,"locale":672},{"sys":13451},{"type":656,"linkType":657,"id":658},"3tM0dWixHzSo6LW1zoD0pG","2026-05-02T17:50:52.110Z","2026-07-22T19:34:03.916Z",{"sys":13456},{"id":664,"type":656,"linkType":665},{"sys":13458},{"type":656,"linkType":670,"id":671},{"entryTitle":13460,"type":675,"text":13461,"url":13462,"externalUrlNewTabSameTab":19,"bluePillLink":9,"buttonColor":1161},"CTA: Check out the full session here!","Check out the full session here!","https:\u002F\u002Fwww.vastdata.com\u002Fresources\u002Fvast-forward-sessions\u002Fnavigating-the-2026-ssd-dry-year","Nicole Hemsoth Prickett, Head of Industry Relations",{"metadata":13465,"sys":13468,"fields":13477},{"tags":13466,"concepts":13467},[],[],{"space":13469,"id":13471,"type":14,"createdAt":13472,"updatedAt":13472,"environment":13473,"publishedVersion":900,"revision":1344,"contentType":13475,"locale":672},{"sys":13470},{"type":656,"linkType":657,"id":658},"26r5sHTHmUj3UkFCykbtHO","2026-05-06T00:10:36.077Z",{"sys":13474},{"id":664,"type":656,"linkType":665},{"sys":13476},{"type":656,"linkType":670,"id":12726},{"entryTitle":13478,"image":13479},"Navigating SSD Dry Year: The Impact of AI Inference on Cloud Based Storage Services and NAND Economics",{"metadata":13480,"sys":13483,"fields":13490},{"tags":13481,"concepts":13482},[],[],{"space":13484,"id":13486,"type":933,"createdAt":13487,"updatedAt":13487,"environment":13488,"publishedVersion":846,"revision":1344,"locale":672},{"sys":13485},{"type":656,"linkType":657,"id":658},"5JfpDl3GAfqOtvKaXJNnUP","2026-05-06T00:10:29.818Z",{"sys":13489},{"id":664,"type":656,"linkType":665},{"title":13478,"description":13491,"file":13492},"Navigating SSD Dry Year: The Impact of AI Inference on Cloud Based Storage Services and NAND Economics\n",{"url":13493,"details":13494,"fileName":13497,"contentType":1597},"\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F5JfpDl3GAfqOtvKaXJNnUP\u002F41107126dd29dc17ffe66b5380833dfb\u002FCR-9775_BP_Feature_Solidigm_Session_VAST-Data.jpg",{"size":13495,"image":13496},1643643,{"width":1140,"height":1141},"CR-9775_BP_Feature_Solidigm Session_VAST-Data.jpg",{"data":13499,"content":13500,"nodeType":1196},{},[13501,13511,13518,13534,13541,13548,13555,13561,13569,13578,13585,13592,13599,13606,13614,13621,13628,13659,13666,13673,13680,13687,13693,13701,13708,13715,13722,13729,13737,13752,13759,13780,13808,13815,13821,13829,13836,13843,13859,13866],{"data":13502,"content":13503,"nodeType":12999},{},[13504],{"data":13505,"content":13506,"nodeType":1195},{},[13507],{"data":13508,"marks":13509,"value":13510,"nodeType":1194},{},[],"We have this thing where supply and demand create cycles, and they're wonderful cycles and they're terrible cycles all at the same time.",{"data":13512,"content":13513,"nodeType":1195},{},[13514],{"data":13515,"marks":13516,"value":13517,"nodeType":1194},{},[],"Those were the words of Solidigm’s Scott Shadley at VAST FWD as he, along with VAST’s Glenn Lockwood tracked the (not too distant) past, present, and future of the “dry year” for SSDs ahead.",{"data":13519,"content":13520,"nodeType":1195},{},[13521,13524,13531],{"data":13522,"marks":13523,"value":1346,"nodeType":1194},{},[],{"data":13525,"content":13527,"nodeType":1814},{"uri":13526},"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=92AdzFMos5Y",[13528],{"data":13529,"marks":13530,"value":13526,"nodeType":1194},{},[],{"data":13532,"marks":13533,"value":1346,"nodeType":1194},{},[],{"data":13535,"content":13536,"nodeType":1195},{},[13537],{"data":13538,"marks":13539,"value":13540,"nodeType":1194},{},[],"The funny thing is that throughout other cycles in the IT industry, the expectation is that they will eventually self-correct. We’ve seen this plenty of times in the last few decades across various components where supply ramps up when demand is strong, then prices fall when there is too much capacity, forcing companies pull back investment, then the system tightens again when demand returns. Rinse and repeat.",{"data":13542,"content":13543,"nodeType":1195},{},[13544],{"data":13545,"marks":13546,"value":13547,"nodeType":1194},{},[],"That assumption has held through several big technology shifts. For example, moving from planar NAND to 3D NAND disrupted production, reduced supply for a time, forcing factories to retool but it still followed the same pattern (capacity dip, prices rise, new output comes online, supply catches up). And even major changes were treated as temporary disruptions inside a system that ultimately behaves in predictable ways.",{"data":13549,"content":13550,"nodeType":1195},{},[13551],{"data":13552,"marks":13553,"value":13554,"nodeType":1194},{},[],"But this predictable cycle only works if demand behaves in ways the system\u002Findustry has seen before. When that demand changes form instead of just scale, the cycle stops being predictable, leaving the industry with a lagging response to a problem that’s already moving faster than the system can adjust to.",{"data":13556,"content":13557,"nodeType":1195},{},[13558],{"data":13559,"marks":13560,"value":1346,"nodeType":1194},{},[],{"data":13562,"content":13563,"nodeType":12759},{},[13564],{"data":13565,"marks":13566,"value":13568,"nodeType":1194},{},[13567],{"type":12757},"And You May Ask Yourself…Well…How Did I Get Here?",{"data":13570,"content":13571,"nodeType":1195},{},[13572],{"data":13573,"marks":13574,"value":13577,"nodeType":1194},{},[13575],{"type":13576},"italic","And you thought pandemic hoarding narratives in IT were so 2022?",{"data":13579,"content":13580,"nodeType":1195},{},[13581],{"data":13582,"marks":13583,"value":13584,"nodeType":1194},{},[],"“If we all remember, there was a huge shortage for no real reason other than people got scared about things… they hoarded components, SSDs, NICs, servers, you name it,” Shadley reminded the crowd.",{"data":13586,"content":13587,"nodeType":1195},{},[13588],{"data":13589,"marks":13590,"value":13591,"nodeType":1194},{},[],"He pointed to how the pandemic created a demand signal that looked real at the time but was actually kind of misleading. Companies went on an infra buying spree as if failure rates were about to spike and resupply would be impossible. This meant pulling forward years of expected demand into a much shorter window.",{"data":13593,"content":13594,"nodeType":1195},{},[13595],{"data":13596,"marks":13597,"value":13598,"nodeType":1194},{},[],"And what followed was predictable, even if it was built on a shaky premise. When systems held up better than expected and the feared failures did not materialize, demand dropped bigtime, leaving the industry with excess inventory and reduced consumption. In response, vendors cut back, fabs slowed production, utilization dropped, investment tightened…the classic squeeze that’s the hallmark of similar reactions in a downcycles, but in this case they were based on a distorted view of demand rather than an actual decline in long-term need. Oops.",{"data":13600,"content":13601,"nodeType":1195},{},[13602],{"data":13603,"marks":13604,"value":13605,"nodeType":1194},{},[],"And what’s more, this happened at the same moment different kind of demand was about to emerge.",{"data":13607,"content":13608,"nodeType":12759},{},[13609],{"data":13610,"marks":13611,"value":13613,"nodeType":1194},{},[13612],{"type":12757},"\nCouple All This to the AI Demand Shock",{"data":13615,"content":13616,"nodeType":1195},{},[13617],{"data":13618,"marks":13619,"value":13620,"nodeType":1194},{},[],"Storage demand follows directly from this new demand, of course. Those expensive GPUs only matter if the data behind them is there. Training and inference pipelines create multiple versions of data, and most of it gets kept. And as Lockwood explained to the audience, “both of those come with a floor on a minimum amount of data that is required to be stored to make those GPUs worthwhile.”",{"data":13622,"content":13623,"nodeType":1195},{},[13624],{"data":13625,"marks":13626,"value":13627,"nodeType":1194},{},[],"This created a different scaling problem because storage was no longer something you could size independently. It scales with GPU deployments, and those deployments were (and still are) accelerating. At the same time, data is staying active longer. Instead of being archived or deleted, it remains accessible because future models or workflows may extract new value from it.",{"data":13629,"content":13630,"nodeType":1195},{},[13631,13635,13643,13647,13655],{"data":13632,"marks":13633,"value":13634,"nodeType":1194},{},[],"You can see this in how quickly demand projections are still rising. Even in 2026, capacity estimates jumped significantly in just a few months but, as ",{"data":13636,"content":13638,"nodeType":1814},{"uri":13637},"https:\u002F\u002Fwww.vastdata.com\u002Fblog\u002Fbeating-the-flash-crunch-with-efficiency-not-supply",[13639],{"data":13640,"marks":13641,"value":13642,"nodeType":1194},{},[],"Shadley",{"data":13644,"marks":13645,"value":13646,"nodeType":1194},{},[]," and ",{"data":13648,"content":13650,"nodeType":1814},{"uri":13649},"https:\u002F\u002Fwww.vastdata.com\u002Fblog\u002Fglenn-lockwood-joins-vast-eye-on-next-gen-ai-infrastructure",[13651],{"data":13652,"marks":13653,"value":13654,"nodeType":1194},{},[],"Lockwood",{"data":13656,"marks":13657,"value":13658,"nodeType":1194},{},[]," emphasize, the conversation now is less focused on demand and more on time. Because even if the industry reacts immediately, supply can’t expand fast enough to meet what AI is pulling through the system.",{"data":13660,"content":13661,"nodeType":1195},{},[13662],{"data":13663,"marks":13664,"value":13665,"nodeType":1194},{},[]," “A fab takes three years to get the building built, another three to four years to get the equipment in the building, and another couple of years to get the output at a reasonable level,” Shadley reiterates. That means the capacity available today reflects decisions made way before AI demand was clear.",{"data":13667,"content":13668,"nodeType":1195},{},[13669],{"data":13670,"marks":13671,"value":13672,"nodeType":1194},{},[],"He adds there are also limits inside the manufacturing process itself. NAND and DRAM aren’t easily interchangeable at the fab level, requiring different production lines. He says DRAM demand is rising at the same time because of GPUs and memory requirements across the system. What’s more, SSDs themselves depend on DRAM internally, which further ties storage supply to memory supply. The result is that multiple parts of the system are competing for resources at once.",{"data":13674,"content":13675,"nodeType":1195},{},[13676],{"data":13677,"marks":13678,"value":13679,"nodeType":1194},{},[],"So now, at the system level, this creates a lockstep effect. GPUs drive demand for DRAM and NAND together and you can’t deploy compute without storage, and you also can’t build storage without memory components that are also under pressure. That coupling makes the shortage harder to isolate or solve in one place.",{"data":13681,"content":13682,"nodeType":1195},{},[13683],{"data":13684,"marks":13685,"value":13686,"nodeType":1194},{},[],"And by the time new fabs begin to contribute meaningful output, demand has already moved. The cycle\u002Fsystem is just chasing a moving target with a delayed response.",{"data":13688,"content":13689,"nodeType":1195},{},[13690],{"data":13691,"marks":13692,"value":1346,"nodeType":1194},{},[],{"data":13694,"content":13695,"nodeType":12759},{},[13696],{"data":13697,"marks":13698,"value":13700,"nodeType":1194},{},[13699],{"type":12757},"There Are Some Answers: Inefficiency in How Data Is Stored",{"data":13702,"content":13703,"nodeType":1195},{},[13704],{"data":13705,"marks":13706,"value":13707,"nodeType":1194},{},[],"It stands to reason that if supply can’t expand fast enough, the only option is to use what you have better.",{"data":13709,"content":13710,"nodeType":1195},{},[13711],{"data":13712,"marks":13713,"value":13714,"nodeType":1194},{},[],"The problem is, most systems were built assuming storage would keep getting cheaper. That shows up in all kinds of places, including at a more granular level like how data is protected. Keeping multiple copies is simple and safe, but uses a lot of space. Even erasure coding, which is more efficient, still adds overhead that becomes harder to justify when NAND is the rare gem. As Lockwood points out, keeping three copies of data starts to look wasteful when capacity itself is limited.",{"data":13716,"content":13717,"nodeType":1195},{},[13718],{"data":13719,"marks":13720,"value":13721,"nodeType":1194},{},[],"There’s also a processing inefficiency. AI pipelines create multiple versions of the same data as it moves from raw input to usable form with each step spitting out a new dataset with earlier versions often kept. They aren’t identical, but they do share a lot of the same content and is pretty much duplicate.",{"data":13723,"content":13724,"nodeType":1195},{},[13725],{"data":13726,"marks":13727,"value":13728,"nodeType":1194},{},[],"Deleting data is one response, Lockwood says, but that nixes future flexibility. And data that seems unimportant now might be useful later, especially as models and tools improve. Once it is gone, you cannot get it back.",{"data":13730,"content":13731,"nodeType":1195},{},[13732],{"data":13733,"marks":13734,"value":13736,"nodeType":1194},{},[13735],{"type":13576},"The takeaway? How you protect data and how much duplication exists inside pipelines directly determine how far your existing storage can stretch.",{"data":13738,"content":13739,"nodeType":1195},{},[13740,13744,13749],{"data":13741,"marks":13742,"value":13743,"nodeType":1194},{},[],"For data protection, Lockwood explains, the goal is to use less overhead without making recovery riskier. 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Pair this with additional supply chain issues around memory chips overall, and it looks like a pretty dire picture, indeed. AI giveth new capabilities, and AI taketh all available chip-manufacturing capacity.",{"data":14089,"content":14090,"nodeType":1195},{},[14091],{"data":14092,"marks":14093,"value":14094,"nodeType":1194},{},[],"If there’s a silver lining, however, it’s this: Shortages are a great forcing function to reconsider how we’ve been doing things and whether “just buy more” was ever really a viable strategy. 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world is running out of capacity.",{"data":14889,"content":14890,"nodeType":1195},{},[14891],{"data":14892,"marks":14893,"value":14894,"nodeType":1194},{},[],"Not in some distant, theoretical future - but right now, across data centers everywhere. Flash supply is constrained. Lead times are growing. And for many organizations, infrastructure planning has quietly slipped into something uncomfortably close to rationing: get in line, wait your turn, and accept whatever capacity your traditional OEM is willing - or able - to allocate.",{"data":14896,"content":14897,"nodeType":1195},{},[14898,14902,14910],{"data":14899,"marks":14900,"value":14901,"nodeType":1194},{},[],"For too long, the industry has treated this situation as inevitable, a supply problem to be endured rather than a failure of design to be corrected. But what most organizations are facing isn’t a true shortage of storage; it’s a ",{"data":14903,"content":14905,"nodeType":1814},{"uri":14904},"www.vastdata.com\u002Fblog\u002Fovercoming-the-ssd-shortage-with-vast",[14906],{"data":14907,"marks":14908,"value":14909,"nodeType":1194},{},[],"shortage of effective capacity",{"data":14911,"marks":14912,"value":14913,"nodeType":1194},{},[],". Massive amounts of flash are already deployed, yet trapped inside inefficient architectures, fragmented silos, and design decisions made for a different era. This accumulated technical debt silently suppresses utilization, inflates costs, and turns every supply constraint into a growth constraint.",{"data":14915,"content":14916,"nodeType":1195},{},[14917,14921,14929],{"data":14918,"marks":14919,"value":14920,"nodeType":1194},{},[],"Today ",{"data":14922,"content":14924,"nodeType":1814},{"uri":14923},"https:\u002F\u002Fwww.vastdata.com\u002Fpress-releases\u002Fvast-data-launches-vast-amplify",[14925],{"data":14926,"marks":14927,"value":14928,"nodeType":1194},{},[],"we introduce VAST Amplify",{"data":14930,"marks":14931,"value":14932,"nodeType":1194},{},[],", the counterpunch to capacity scarcity. 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In large-scale customer deployments, Amplify has consolidated fragmented infrastructures into unified platforms, recovering 250PB of usable capacity in a single multi-tenant environment and delivering 150+PB production clusters by repurposing existing NVMe in just weeks.\n\nTogether, these results highlight the true power of Amplify: combining architectural efficiency with disciplined execution to turn stranded flash into a strategic, AI-ready asset at speed and at scale.",{"data":15149,"content":15150,"nodeType":12759},{},[15151],{"data":15152,"marks":15153,"value":15154,"nodeType":1194},{},[],"What You Can Do with Amplified Capacity",{"data":15156,"content":15157,"nodeType":1195},{},[15158],{"data":15159,"marks":15160,"value":15161,"nodeType":1194},{},[],"This is where the real advantage begins.",{"data":15163,"content":15164,"nodeType":1195},{},[15165],{"data":15166,"marks":15167,"value":15168,"nodeType":1194},{},[],"Legacy systems force organizations to buy capacity one workload at a time. 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Architectural inefficiency doesn’t have to be.",{"data":15281,"content":15282,"nodeType":1195},{},[15283],{"data":15284,"marks":15285,"value":15286,"nodeType":1194},{},[],"VAST Amplify helps organizations break free from the constraints of legacy infrastructure and reclaim control over their growth. While others wait in line for their next allocation, you can move forward and amplify what you already own and build an infrastructure designed for the AI era.",{"data":15288,"content":15289,"nodeType":1195},{},[15290],{"data":15291,"marks":15292,"value":15293,"nodeType":1194},{},[],"This is just the beginning. Until then, one thing is already clear: The future belongs to those who amplify and not those who wait.",{"data":15295,"content":15296,"nodeType":12759},{},[15297],{"data":15298,"marks":15299,"value":15300,"nodeType":1194},{},[],"Amplify Further",{"data":15302,"content":15303,"nodeType":12844},{},[15304,15325,15345,15367],{"data":15305,"content":15306,"nodeType":12823},{},[15307],{"data":15308,"content":15309,"nodeType":1195},{},[15310,15314,15322],{"data":15311,"marks":15312,"value":15313,"nodeType":1194},{},[],"Live Webinar - February 12, 2026: ",{"data":15315,"content":15317,"nodeType":1814},{"uri":15316},"https:\u002F\u002Fwww.vastdata.com\u002Fevents\u002Fscaling-through-flash-scarcity",[15318],{"data":15319,"marks":15320,"value":15321,"nodeType":1194},{},[],"Scaling Through Flash Scarcity",{"data":15323,"marks":15324,"value":1346,"nodeType":1194},{},[],{"data":15326,"content":15327,"nodeType":12823},{},[15328],{"data":15329,"content":15330,"nodeType":1195},{},[15331,15335,15342],{"data":15332,"marks":15333,"value":15334,"nodeType":1194},{},[],"Learn More: ",{"data":15336,"content":15338,"nodeType":1814},{"uri":15337},"https:\u002F\u002Fwww.vastdata.com\u002Fusecase\u002Fssd-shortage",[15339],{"data":15340,"marks":15341,"value":7906,"nodeType":1194},{},[],{"data":15343,"marks":15344,"value":1346,"nodeType":1194},{},[],{"data":15346,"content":15347,"nodeType":12823},{},[15348],{"data":15349,"content":15350,"nodeType":1195},{},[15351,15355,15363],{"data":15352,"marks":15353,"value":15354,"nodeType":1194},{},[],"White Paper: ",{"data":15356,"content":15358,"nodeType":1814},{"uri":15357},"..\u002F..\u002Fresources\u002Fwhite-papers\u002Fscaling-through-flash-scarcity-with-purpose-built-architecture",[15359],{"data":15360,"marks":15361,"value":15362,"nodeType":1194},{},[],"Scaling Through Flash Scarcity with Purpose-Built Architecture",{"data":15364,"marks":15365,"value":15366,"nodeType":1194},{},[]," ",{"data":15368,"content":15369,"nodeType":12823},{},[15370],{"data":15371,"content":15372,"nodeType":1195},{},[15373,15377,15385],{"data":15374,"marks":15375,"value":15376,"nodeType":1194},{},[],"Solution Brief: ",{"data":15378,"content":15380,"nodeType":1814},{"uri":15379},"https:\u002F\u002Fwww.vastdata.com\u002Fresources\u002Fsolution-briefs\u002Fvast-amplify-the-capacity-amplification-program",[15381],{"data":15382,"marks":15383,"value":15384,"nodeType":1194},{},[],"VAST Amplify: The Capacity Amplification Program",{"data":15386,"marks":15387,"value":1346,"nodeType":1194},{},[],{"data":15389,"content":15390,"nodeType":1195},{},[15391,15396,15403,15408,15416],{"data":15392,"marks":15393,"value":15395,"nodeType":1194},{},[15394],{"type":13576},"Experience VAST’s industry-leading approach to AI and data infrastructure at ",{"data":15397,"content":15398,"nodeType":1814},{"uri":9655},[15399],{"data":15400,"marks":15401,"value":15402,"nodeType":1194},{},[],"VAST Forward",{"data":15404,"marks":15405,"value":15407,"nodeType":1194},{},[15406],{"type":13576},", our inaugural user conference, February 24–26, 2026 in Salt Lake City, Utah. 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It continues with ",{"data":16384,"content":16386,"nodeType":1814},{"uri":16385},"..\u002F..\u002Fblog\u002Fbreaking-data-reduction-trade-offs-with-global-compression",[16387],{"data":16388,"marks":16389,"value":16390,"nodeType":1194},{},[],"data reduction that operates globally",{"data":16392,"marks":16393,"value":16394,"nodeType":1194},{},[]," across the dataset, not as a bolt-on feature or a best-effort optimization, but as a first-class architectural principle.",{"data":16396,"content":16397,"nodeType":1195},{},[16398],{"data":16399,"marks":16400,"value":16401,"nodeType":1194},{},[],"This goes well beyond theory. Across production environments, customers consistently see usable capacity expand by multiples relative to raw flash. In practical terms, this means organizations constrained by NAND allocation can meet ingest and retention goals without waiting for the supply chain to catch up. In extreme cases, environments that previously required multiple replicated copies for performance and protection collapse into a single, efficient footprint.",{"data":16403,"content":16404,"nodeType":1195},{},[16405],{"data":16406,"marks":16407,"value":16408,"nodeType":1194},{},[],"This also reframes the flash shortage from a procurement problem into a software problem.",{"data":16410,"content":16411,"nodeType":1195},{},[16412],{"data":16413,"marks":16414,"value":16415,"nodeType":1194},{},[],"What’s notable is how quickly this shift is happening. Efficiency used to be discussed in the context of power, cooling, and cost optimization. Those still matter, but they are no longer the primary drivers. Today, efficiency determines whether a deployment can happen at all. When hyperscalers are willing to place open-ended orders and enterprises are competing for the same constrained supply, the ability to make flash go two or three times further becomes a strategic advantage.",{"data":16417,"content":16418,"nodeType":1195},{},[16419],{"data":16420,"marks":16421,"value":16422,"nodeType":1194},{},[],"There’s also a second-order effect. As AI workloads increasingly demand instant access to data beyond GPU and CPU memory, flash becomes an extension of the compute fabric rather than a passive storage tier. Algorithms that assume random access and consistent latency unlock capabilities that simply are not possible on spinning media or heavily replicated architectures. This tight coupling between compute and data makes inefficiency even more expensive, because it directly impacts utilization upstream.",{"data":16424,"content":16425,"nodeType":1195},{},[16426],{"data":16427,"marks":16428,"value":16429,"nodeType":1194},{},[],"None of this eliminates the need for more flash. Fabs will expand, supply will eventually loosen, and the market will find a new equilibrium. But the lesson of this cycle is unlikely to fade. AI has exposed how fragile capacity planning becomes when it relies on abundance rather than design.",{"data":16431,"content":16432,"nodeType":1195},{},[16433],{"data":16434,"marks":16435,"value":16436,"nodeType":1194},{},[],"In the near term, the organizations that succeed will not be the ones that secured the largest allocations, but the ones that extracted the most value from what they already had. 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Learn how to maximize every bit.",{"data":16445,"content":16446,"nodeType":12844},{},[16447,16467,16488],{"data":16448,"content":16449,"nodeType":12823},{},[16450],{"data":16451,"content":16452,"nodeType":1195},{},[16453,16457,16464],{"data":16454,"marks":16455,"value":16456,"nodeType":1194},{},[],"Listen:",{"data":16458,"content":16459,"nodeType":1814},{"uri":16279},[16460],{"data":16461,"marks":16462,"value":16463,"nodeType":1194},{},[]," Beating the Flash Crunch With Efficiency, Not Supply (Shared Everything podcast)",{"data":16465,"marks":16466,"value":1346,"nodeType":1194},{},[],{"data":16468,"content":16469,"nodeType":12823},{},[16470],{"data":16471,"content":16472,"nodeType":1195},{},[16473,16477,16485],{"data":16474,"marks":16475,"value":16476,"nodeType":1194},{},[],"Read:",{"data":16478,"content":16480,"nodeType":1814},{"uri":16479},"..\u002F..\u002Fblog\u002Fovercoming-the-ssd-shortage-with-vast",[16481],{"data":16482,"marks":16483,"value":16484,"nodeType":1194},{},[]," Overcoming the SSD Shortage with VAST",{"data":16486,"marks":16487,"value":1346,"nodeType":1194},{},[],{"data":16489,"content":16490,"nodeType":12823},{},[16491],{"data":16492,"content":16493,"nodeType":1195},{},[16494,16498,16506],{"data":16495,"marks":16496,"value":16497,"nodeType":1194},{},[],"Read: ",{"data":16499,"content":16500,"nodeType":1814},{"uri":13173},[16501],{"data":16502,"marks":16503,"value":16505,"nodeType":1194},{},[16504],{"type":12983},"The Economics of Exabyte Storage (Solidigm TCO 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let the flash crunch stall your AI roadmap. Discover how VAST Data and Solidigm are redefining storage economics to make every TB go further.",{"metadata":16657,"sys":16660,"fields":16668},{"tags":16658,"concepts":16659},[],[],{"space":16661,"id":16663,"type":933,"createdAt":16664,"updatedAt":16665,"environment":16666,"publishedVersion":751,"revision":900,"locale":672},{"sys":16662},{"type":656,"linkType":657,"id":658},"67tad290kMuwifs5wilA44","2026-01-08T12:32:10.520Z","2026-07-17T15:52:43.689Z",{"sys":16667},{"id":664,"type":656,"linkType":665},{"title":16223,"description":16223,"file":16669},{"url":16670,"details":16671,"fileName":16674,"contentType":1597},"\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F67tad290kMuwifs5wilA44\u002F7fe5b2ba1d83ba144c4c545364b13f59\u002FBeating_The_Flash_Crunch_With_Efficiency_Not_Supply_SE_VAST-Data.jpg",{"size":16672,"image":16673},316644,{"width":1352,"height":1353},"Beating_The_Flash_Crunch_With_Efficiency_Not_Supply_SE_VAST-Data.jpg",{"metadata":16676,"sys":16679,"fields":16686},{"tags":16677,"concepts":16678},[],[],{"space":16680,"id":14663,"type":14,"createdAt":14664,"updatedAt":14665,"environment":16682,"publishedVersion":863,"revision":751,"contentType":16684,"locale":672},{"sys":16681},{"type":656,"linkType":657,"id":658},{"sys":16683},{"id":664,"type":656,"linkType":665},{"sys":16685},{"type":656,"linkType":670,"id":14670},{"leadSourceCampaign":10872,"formTitle":14672,"confirmationPage":14673,"formItem":16687,"portalId":14822,"formId":14823},[16688,16700,16712,16724,16736,16748,16760,16773],{"metadata":16689,"sys":16692,"fields":16699},{"tags":16690,"concepts":16691},[],[],{"space":16693,"id":14682,"type":14,"createdAt":14683,"updatedAt":14684,"environment":16695,"publishedVersion":711,"revision":691,"contentType":16697,"locale":672},{"sys":16694},{"type":656,"linkType":657,"id":658},{"sys":16696},{"id":664,"type":656,"linkType":665},{"sys":16698},{"type":656,"linkType":670,"id":14689},{"entryTitle":14691,"name":796,"label":14692,"fullSpace":9,"required":9},{"metadata":16701,"sys":16704,"fields":16711},{"tags":16702,"concepts":16703},[],[],{"space":16705,"id":14700,"type":14,"createdAt":14701,"updatedAt":14702,"environment":16707,"publishedVersion":667,"revision":939,"contentType":16709,"locale":672},{"sys":16706},{"type":656,"linkType":657,"id":658},{"sys":16708},{"id":664,"type":656,"linkType":665},{"sys":16710},{"type":656,"linkType":670,"id":14689},{"entryTitle":14708,"name":14709,"label":14710,"fullSpace":19,"required":9},{"metadata":16713,"sys":16716,"fields":16723},{"tags":16714,"concepts":16715},[],[],{"space":16717,"id":14718,"type":14,"createdAt":14719,"updatedAt":14720,"environment":16719,"publishedVersion":810,"revision":939,"contentType":16721,"locale":672},{"sys":16718},{"type":656,"linkType":657,"id":658},{"sys":16720},{"id":664,"type":656,"linkType":665},{"sys":16722},{"type":656,"linkType":670,"id":14689},{"entryTitle":14726,"name":14727,"label":14728,"fullSpace":19,"required":9},{"metadata":16725,"sys":16728,"fields":16735},{"tags":16726,"concepts":16727},[],[],{"space":16729,"id":14736,"type":14,"createdAt":14737,"updatedAt":14738,"environment":16731,"publishedVersion":691,"revision":846,"contentType":16733,"locale":672},{"sys":16730},{"type":656,"linkType":657,"id":658},{"sys":16732},{"id":664,"type":656,"linkType":665},{"sys":16734},{"type":656,"linkType":670,"id":14689},{"entryTitle":14744,"name":11,"label":11,"fullSpace":9,"required":9},{"metadata":16737,"sys":16740,"fields":16747},{"tags":16738,"concepts":16739},[],[],{"space":16741,"id":14752,"type":14,"createdAt":14753,"updatedAt":14753,"environment":16743,"publishedVersion":846,"revision":1344,"contentType":16745,"locale":672},{"sys":16742},{"type":656,"linkType":657,"id":658},{"sys":16744},{"id":664,"type":656,"linkType":665},{"sys":16746},{"type":656,"linkType":670,"id":14689},{"entryTitle":14759,"name":14760,"label":14761,"fullSpace":9,"required":19},{"metadata":16749,"sys":16752,"fields":16759},{"tags":16750,"concepts":16751},[],[],{"space":16753,"id":14769,"type":14,"createdAt":14770,"updatedAt":14770,"environment":16755,"publishedVersion":939,"revision":1344,"contentType":16757,"locale":672},{"sys":16754},{"type":656,"linkType":657,"id":658},{"sys":16756},{"id":664,"type":656,"linkType":665},{"sys":16758},{"type":656,"linkType":670,"id":14775},{"name":14777,"type":14778,"required":9,"formName":14779,"fullSpace":9},{"metadata":16761,"sys":16764,"fields":16771},{"tags":16762,"concepts":16763},[],[],{"space":16765,"id":14787,"type":14,"createdAt":14788,"updatedAt":14789,"environment":16767,"publishedVersion":711,"revision":900,"contentType":16769,"locale":672},{"sys":16766},{"type":656,"linkType":657,"id":658},{"sys":16768},{"id":664,"type":656,"linkType":665},{"sys":16770},{"type":656,"linkType":670,"id":14794},{"name":14796,"label":14797,"options":16772,"required":9},[14799],{"metadata":16774,"sys":16777,"fields":16784},{"tags":16775,"concepts":16776},[],[],{"space":16778,"id":14807,"type":14,"createdAt":14808,"updatedAt":14809,"environment":16780,"publishedVersion":710,"revision":846,"contentType":167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New Storage Economics: Solidigm and VAST Deliver All-SSD Capacity at Half the Cost of HDD","new-storage-economics-solidigm-vast-deliver-all-ssd-capacity","2025-09-18","Brian Verkley, Product Marketing Manager",{"metadata":16810,"sys":16813,"fields":16822},{"tags":16811,"concepts":16812},[],[],{"space":16814,"id":16816,"type":14,"createdAt":16817,"updatedAt":16817,"environment":16818,"publishedVersion":900,"revision":1344,"contentType":16820,"locale":672},{"sys":16815},{"type":656,"linkType":657,"id":658},"6YIf6pfUcPfL6HcofY8bD","2025-09-15T14:27:00.539Z",{"sys":16819},{"id":664,"type":656,"linkType":665},{"sys":16821},{"type":656,"linkType":670,"id":12726},{"entryTitle":16805,"image":16823},{"metadata":16824,"sys":16827,"fields":16834},{"tags":16825,"concepts":16826},[],[],{"space":16828,"id":16830,"type":933,"createdAt":16831,"updatedAt":16831,"environment":16832,"publishedVersion":846,"revision":1344,"locale":672},{"sys":16829},{"type":656,"linkType":657,"id":658},"1nJgZvqCKZvqs3NqeNyEhi","2025-09-15T14:26:51.858Z",{"sys":16833},{"id":664,"type":656,"linkType":665},{"title":16805,"description":16805,"file":16835},{"url":16836,"details":16837,"fileName":16840,"contentType":1143},"\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F1nJgZvqCKZvqs3NqeNyEhi\u002F5115d442b711aec3bb49149687988423\u002Fnew-storage-economics-solidigm-vast-deliver-all-ssd-capacity.webp",{"size":16838,"image":16839},44864,{"width":1140,"height":1141},"new-storage-economics-solidigm-vast-deliver-all-ssd-capacity.webp","For years, enterprise IT has played a strategic, often frustrating, game of resource allocation. Flash storage devices, with their undeniable speed, were the prized assets - reserved for the \"hot tier,\" the critical applications, the workloads requiring the lowest latencies and the highest throughput. The rest of the \"warm\" or \"cold\" data was relegated to slower, more economical HDD tiers. This was the accepted compromise, a necessary balancing act between performance and budget.\n\nHowever, when analyzing the Total Cost of Ownership (TCO), that equation has been inverted. Flash now provides a superior economic advantage. A \u003Ca href=\"https:\u002F\u002Fwww.solidigm.com\u002Fproducts\u002Ftechnology\u002Feconomics-of-exabyte-data-storage.html?fbclid=IwY2xjawMCs9lleHRuA2FlbQIxMQBicmlkETBrdkJHVmZROXhWcWFVa3RWAR7Cdu2fEX4BwDCDDhbs7LoO83F0iz2-nlVbvkztCC58CiA3aPgGAKVOFDrHGw_aem_9gUqa28yTbJw3i2IvSirKQ\">whitepaper by Solidigm and VAST\u003C\u002Fa> quantifies this, revealing that flash offers a __58.9% lower TCO__ than traditional HDD tiers.\n\nRecent innovations from Solidigm and VAST are changing storage economics and eliminating the tiered storage paradigm completely.  It is not cheaper to store cold data on flash. The cheapest medium for data is flash. Gone is the need for tiers, and with them the auto-tiering policies, the need for separate storage cluster designs, and the constant moving of data.\n\n#### The Technology Driving the Economic Shift\n\nCurrent hardware and software architectures have fundamentally altered storage economics, making a universal all-flash infrastructure more cost-effective than traditional hard drive systems. This shift is driven by two key innovations working in tandem.\n\n- __Hardware Breakthroughs in Density:__ The primary hardware change is the introduction of \u003Ca href=\"https:\u002F\u002Fwww.solidigm.com\u002Fproducts\u002Fdata-center\u002Fd5\u002Fp5336.html#form=U.2%2015mm&cap=122.88TB\">Solidigm's 122-layer QLC NAND flash\u003C\u002Fa>, which provides unprecedented storage density. This allows for a massive reduction in the physical footprint of storage systems.\n- __Compounding Software Efficiencies:__ These hardware gains are amplified by VAST’s innovative software.\n  - VAST’s advanced \u003Ca href=\"https:\u002F\u002Fwww.vastdata.com\u002Fwhitepaper#a-breakthrough-approach-to-data-reduction\">Similarity data reduction\u003C\u002Fa> technique goes far beyond standard compression to find and eliminate redundancy at a granular level, meaning you need nearly 3x less raw storage capacity compared to HDD solutions. This level of granular data reduction can only be practical on flash because spinning media depends on sequential data for speed. When duplicate data is removed, many sequential reads look like random IO, which flash drives excel at, but HDDs struggle with.\n  - \u003Ca href=\"https:\u002F\u002Fwww.vastdata.com\u002Fblog\u002Fbreaking-resiliency-trade-offs-with-locally-decodable-erasure-codes\">Locally decodable codes\u003C\u002Fa> provide an extremely efficient and resilient form of data protection, further enhancing cost-effectiveness by reducing wasted overhead.\n  - \u003Ca href=\"https:\u002F\u002Fwww.vastdata.com\u002Fwhitepaper\u002F#VASTForesight\">VAST Foresight\u003C\u002Fa> is an intelligent data placement feature that groups data based on its predicted retention time before writing it to QLC flash, a strategy that improves the endurance and extends the lifespan of the storage system.\n  - Crucially, this entire solution is built for longevity. By offering 10-year support on QLC SSDs, the VAST platform eliminates the costly and disruptive hardware refresh cycles required by HDD systems every few years.\n\nTogether, these technologies mean a VAST system can store significantly more data on less physical hardware. An Exabyte of data that once required 52 racks of HDDs can now fit into just 5 racks, cutting data center space costs by over 90% and power and cooling costs by more than 75% leading to a total cost of ownership (TCO) that is over 50% lower than traditional HDD-based systems.\n\n#### The Proof is in the Numbers: A TCO Analysis\n\nAll of this is now documented in a \u003Ca href=\"https:\u002F\u002Fwww.solidigm.com\u002Fproducts\u002Ftechnology\u002Feconomics-of-exabyte-data-storage.html\">10-year Total Cost of Ownership (TCO) analysis\u003C\u002Fa>. While this analysis focuses on a 1EB deployment, the technical and economic advantages delivered by the platform begin at the smallest VAST cluster and extend to Zettabyte (ZB) scale. These savings come from several compounding factors:\n\n\u003Cp style=\"text-indent: -20px; margin-left: 36px;\">\u003Cb style=\"color: var(--color-vastBlueDarker); font-size: 1.9rem; font-weight: 700;\">1.\u003C\u002Fb> \u003Cspan style=\"font-weight: 700;\">Eliminating Refresh Cycles:\u003C\u002Fspan> Traditional HDD infrastructures require costly and disruptive hardware refreshes every 3-5 years. The VAST Data platform offers 10-year support on QLC SSDs, avoiding multiple hardware repurchases and the associated labor costs. While the initial outlay for the SSD\u002FVAST solution might be higher, the total 10-year hardware cost is nearly 30% lower because those expensive HDD refresh cycles are eliminated.\u003C\u002Fp>\n\n![Total 10-year Hardware Cost ($M)](\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F6IYwEHSOKe6RK1ThlhdQwD\u002F9713a93eb27ff55820b87e92a334a0af\u002Fnew-storage-economics-solidigm-vast-deliver-all-ssd-capacity-1.webp)\n\n\u003Cp style=\"text-indent: -20px; margin-left: 36px;\">\u003Cb style=\"color: var(--color-vastBlueDarker); font-size: 1.9rem; font-weight: 700;\">2.\u003C\u002Fb> \u003Cspan style=\"font-weight: 700;\">Effective Data Reduction:\u003C\u002Fspan> VAST’s Similarity data reduction technology achieves remarkable data reduction rates without the performance penalties that cripple deduplication solutions on HDDs. Because HDDs depend on sequential I\u002FO, HDD based tiers often use little to no effective data reduction (modeled at 1:1). The result: you need only one-third of the raw physical storage capacity with VAST compared to an HDD solution to achieve the same usable capacity.\u003C\u002Fp>\n\n![Calculated Raw Capacity Required (EB)](\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F3E6tKrtcliZ4T9MdGRdogh\u002F8fe6bbe268068d2fc2bcfc16aa0f2ef3\u002Fnew-storage-economics-solidigm-vast-deliver-all-ssd-capacity-2.webp)\n\n\u003Cp style=\"text-indent: -20px; margin-left: 36px;\">\u003Cb style=\"color: var(--color-vastBlueDarker); font-size: 1.9rem; font-weight: 700;\">3.\u003C\u002Fb> \u003Cspan style=\"font-weight: 700;\">Higher Density, LowerFootprint:\u003C\u002Fspan> The combination of Solidigm's ultra-dense 122TB SSDs and VAST's software efficiencies means a dramatically smaller physical presence. What might require 52 racks for an Exabyte of usable HDD storage can be consolidated into just five racks with the Solidigm + VAST solution. This translates into over 90% savings in data center space costs and a power and cooling cost reduction of over 75%. Together, the lower power and space requirements support more sustainable data center operations.\u003C\u002Fp>\n\n![Racks Needed](\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F1VE9KfFfGqxbQ8rkxyUbl3\u002Fb7968b4faaa541547d72bc192d111ae8\u002Fnew-storage-economics-solidigm-vast-deliver-all-ssd-capacity-3.webp)\n\n![Total 10-Year Power Cost ($M)](\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F4GG8JLYtJ9YcwCrQ58kfSI\u002Fecd0faceed24172dfb3b466f7e1e534a\u002Fnew-storage-economics-solidigm-vast-deliver-all-ssd-capacity-4.webp)\n\nThis combination of extended hardware life, superior data reduction, and higher density fundamentally rewires the economics of enterprise storage.\n\nWhen flash is no longer a scarce, premium resource, the whole equation of enterprise computing changes. IT leaders no longer have to ration performance or make uncomfortable compromises between speed and cost. Instead, they can design around possibilities:\n\n- __AI at Full Fidelity:__ With flash now the most economical tier, enterprises can finally train and analyze on their entire data history, not just today’s “hot” subset. Aquatic Capital Management, for example, uses VAST to unify decades-worth of structured and unstructured market, documentation, and proprietary data into a single high-performance flash infrastructure—giving researchers both full corpus fidelity and extended historical breadth. As their Head of Infrastructure notes: “the more different multi-variant data sources that they can assemble, the more accurate their models can become.” The result? AI models that are smarter, more contextually rich, and more accurate—made possible by collapsing the old trade-offs of cost, speed, and retention.\n- __Analytics Without Delay:__ The NHL rebuilt its media platform on VAST, shifting a massive video archive onto flash and expanding into real-time game-footage operations so editors and teams can cut highlights and move content while games are still underway. With replication across all 32 arenas, the league shortened the path from capture to distribution and set itself up for computer-vision and AI discovery on the same library.   A flash-backed foundation turned archival footage into something you can actually work with in the moment, rather than overnight.  \n- __Operational Agility:__ At spinTwo, VAST transformed months-long life sciences compute workloads into just weeks, freeing researchers to focus on discovery instead of infrastructure headaches. As their team notes: “With VAST Data, we process large datasets much faster, allowing scientists to spend more time on research rather than waiting for data to process. What used to take years, can now be completed in weeks, and we’re working to reduce that to hours.”    This kind of performance lets developers and data scientists spin up full datasets on the fly, test new pipelines, and iterate rapidly, without entangling in storage approvals or juggling quotas.\n\n#### A New Era of Storage Economics\n\nTiering solved an old cost problem. This Solidigm + VAST study shows that a single all-flash tier wins on the numbers: 58.9% lower 10-year TCO, 5 racks instead of 52, power and cooling down by more than 75%, and space costs down by more than 90%. Density, Similarity data reduction, locally decodable protection, and 10-year media support combine into a simpler system that stores more data on less hardware.\n\nTo see the model and assumptions, read the Solidigm + VAST TCO analysis. To get a custom TCO analysis for your business, schedule time with a \u003Ca href=\"https:\u002F\u002Fwww.vastdata.com\u002Fpersonalized-demo\">VAST Sales Engineer\u003C\u002Fa>.\n\n\u003Cstyle>\n  p::marker {color: var(--color-vastBlueDarker) 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