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.

Hybrid & Multi-Cloud

Trusted by the World’s Leading Data-Driven Organizations

Advania Managed Services
CACEIS
CoreWeave
Evodian
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
OpenText
ServiceNow
The Hybrid Cloud Challenge

Hybrid Cloud Shouldn't Mean Fragmented Data

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.

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.

Every day we collect hundreds of terabytes of new data for neural genomics research, and we manage these massive datasets across our own private clouds and AWS for rapid, global data access. The VAST Data Platform makes it simple for the Allen Institute to rapidly share and process data anywhere. These new hybrid cloud enhancements give our researchers and partners easy-to-use tools to build global AI pipelines that facilitate and accelerate our pursuit of new scientific discoveries.

David Feng
Director of Scientific Computing, Allen Institute
Why Now

The Inflection Point for Hybrid & Multi-Cloud

The Inflection Point for Hybrid & Multi-Cloud
The VAST AI Operating System

Unified Storage for the Hybrid Cloud

For decades, enterprises have juggled separate storage silos for different data types across on-prem and public clouds: driving up costs, complexity, and security risks. VAST Universal Storage shatters these boundaries serving block, file, and object from a single all-flash platform. Providing companies with complete visibility and unified governance across their entire data estate.

Consolidate

Instead of separate systems for block, file, and object across on-prem and every cloud, consolidate everything onto one all-flash platform: no silos, no tiering.

Transform Data In Place

Copies and manual migrations leave AI projects working with stale, out-of-sync data across hybrid environments. Access and interact with data anywhere without copies: no duplication, no drift.

Govern

Apply one governance model across on-prem and every cloud, with global permissions and any-protocol access for uniform identity, security, and compliance wherever data lives.

The Three Pillars of Hybrid & Multi-Cloud

Solving the Hardest Challenges in Hybrid AI

Unified Hybrid Architecture

VAST Data image

Federated Data Access

Federated Data Access

Real-Time Streaming Analytics and Event-Driven Pipelines

Driving GPU Utilization
What does DataStore help Enterprises do?

A Universal Storage Platform Engineered for the AI Era

VAST DataStore delivers high-performance, file, object, and block storage on a single platform. It ingests, stores, and serves massive datasets to enterprise workloads at speed; without the tradeoffs customers have come to expect with legacy storage systems.

Unify Data to Accelerate Innovation

Break down legacy silos by managing block, file, and object on a single platform. Harness the capabilities of Universal Storage for analytics, AI, and block workloads to accelerate innovation.

No More Complex Tiering

Eliminate the complexity of tiering across multiple storage systems, each with its own OS, patching, security, and stranded capacity. VAST collapses them onto one platform.

Enterprise-Grade Data Reduction

Global, similarity-based data reduction shrinks your footprint beyond traditional dedupe and compression, more storage on less flash, with no performance penalty.

What does DataSpace help Enterprises do?

Meet the Global Namespace for Hybrid & Multi-Cloud

Align data movement, caches, and replicas with workload demand to reduce cost and complexity. Intelligent policies place data where it will be processed next, optimizing performance and resource utilization across global environments.

Unified Data Estate

Bring data from every location into one data estate. Workloads move seamlessly between locations, maintaining consistent performance and data integrity across every VAST AI OS deployment.

Adaptive Synchronization

Pre-stage data in the cloud ahead of a scheduled job, so workloads start instantly and maximize throughput: no waiting for data to arrive, no idle compute.