As data spreads across legacy on-prem systems and multiple public clouds, it fragments into silos, each with distinct tools, formats, and access methods. The result is a hybrid, multi-cloud data estate that’s costly to scale, difficult to govern, and slow to supply AI workloads.
VAST AI Operating System for Hybrid & Multi-Cloud
Multi-Cloud Flexibility with VAST AI OS
With VAST Data on the public cloud, organizations can run VAST data services across hybrid environments. This single-platform approach eliminates data silos and costly data movement, allowing teams to accelerate AI initiatives and simplify infrastructure management.
The Hybrid Cloud Challenge
Hybrid Cloud Shouldn't Mean Fragmented Data
Fragmented Data
Hybrid storage is complex and fragmented, spanning multiple cloud-native services and limited third-party options. Managing each one separately drives up cost, complexity, risk, and lock-in.
Hidden Context
When data is scattered across tiers and silos, critical context stays trapped and invisible to AI, leaving models with stale embeddings and unreliable answers.
Performance vs Cost Tradeoff
Hybrid cloud shouldn’t require trading performance for cost. Yet, organizations often split data between costly managed Lustre offerings and affordable archive tiers, creating silos and demanding continual data migrations.