Scaling Through Flash Scarcity

As data growth accelerates in the AI era, storage demand is outpacing global NAND flash supply, creating a constraint that traditional infrastructure models can’t solve by simply buying more hardware. Legacy shared-nothing architectures compound the problem, often consuming 20–66% of raw flash capacity for data protection, redundancy, and performance overhead.

In this webinar, we’ll explore how VAST Data’s Disaggregated Shared Everything (DASE) architecture breaks these long-standing tradeoffs. Drawing on real-world production data at exabyte scale, we’ll show how VAST dramatically improves flash efficiency through:

• Highly efficient data protection, reducing overhead to under 3% with locally decodable erasure coding

• Global, similarity-based data reduction, delivering a median reduction ratio of ~2:1 across real datasets

• Architectural separation of write ingestion and data persistence, enabling consistent low-latency performance without overprovisioning or excess copies

Join us to learn how organizations can scale AI and analytics, retain more data, and extract maximum value from every SSD, without waiting on the supply chain.