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CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow
xAI
CACEIS
CoreWeave
SK Telecom
National Hockey League (NHL)
Boston Children’s Hospital
TACC
Brown
ServiceNow

Legacy Challenges

Why Global Data Access Has Always Fallen Short

Legacy global-namespace systems promised anywhere-access but delivered latency, inconsistency, and lock-in. The VAST DataSpace breaks those limits with a global data fabric that unifies clusters worldwide while preserving strict transactional consistency.

Slow and Inconsistent Writes

Legacy global namespaces drag performance down to WAN speeds. The VAST DataSpace decentralizes fine-grained locks and leases, enabling local speed writes with strict consistency across sites.

Explore Global Access
Core Capabilities

The Global Data Fabric for AI and Analytics

The VAST DataSpace unifies data across edge, core, and cloud in a single consistent fabric. It delivers all-flash access performance and synchronizes global data for AI and analytics at scale.

Product Benefits

Say Goodbye to Data Gravity

Break free from data silos and locality limits. Simplify global operations and accelerate innovation with an AI-ready data platform that keeps information instantly available wherever compute happens.

Break the Tradeoff Between Performance and Consistency

Break the Tradeoff Between Performance and Consistency

Access Data Anywhere Without Compromise

Access Data Anywhere Without Compromise

Adapt Synchronization to Your Business Needs

Adapt Synchronization to Your Business Needs
Feature Details

Ensure Global Consistency Without Sacrificing Performance

The VAST DataSpace lets you unify data from every location and enforce strict global consistency so AI and analytics operate with local performance and scale seamlessly to meet enterprise demands.

Replication
Global Clones & Adaptive Synchronization
VAST on Cloud
Command and Control

Asynchronous Replication for Data Durability

Protect data durability across sites without disrupting active workloads. Updates are transferred efficiently in the background, preserving performance and ensuring every dataset remains recoverable and up to date.

Synchronous Replication for RPO Zero

Mirror critical data in real time between clusters for instant recovery and uninterrupted operations. Every write is committed simultaneously across sites, ensuring zero data loss and maintaining edge-to-cloud data consistency for mission-critical workloads.

Snap‑to‑Object

Capture point-in-time images as S3-compatible objects to archive, clone, or recover instantly. Snap-to-Object reduces storage overhead and accelerates data protection by turning snapshots into durable, cloud-native assets.

FAQ

Get the Facts About the VAST DataSpace

Learn More

A global data fabric connects edge, core, and cloud environments into a single, consistent data space. It eliminates latency, inconsistency, and data silos caused by separate storage or replication systems. The VAST DataSpace delivers strict consistency and local-speed access everywhere, giving AI and analytics real-time visibility into enterprise data without the complexity of legacy global-namespace solutions.

The VAST DataSpace uses decentralized locks and leases to maintain strict consistency while allowing local-speed reads and writes at every location. Unlike systems that rely on eventual synchronization, it enforces real-time coherency through write leasing and intelligent caching. The result is immediate data access without WAN latency or conflicts; performance and consistency without compromise.

Yes. The VAST DataSpace delivers globally distributed data to wherever compute is available—on-premises, in the cloud, or at the edge. Its adaptive synchronization modes pre-stage or fetch data dynamically, ensuring every GPU, CPU, or analytics node runs on current information. The platform removes the need to move entire datasets, accelerating model training and inference at global scale.

Traditional replication systems copy whole datasets on a schedule, creating stale views and squandering bandwidth. The VAST DataSpace synchronizes only the blocks that change, using predictive prefetch and adaptive modes (Lazy, Eager, Schedule) to keep data aligned with compute demand. This architecture delivers continuous, fine-grained consistency with minimal network overhead.

Absolutely. VAST Cloud Instances run natively in AWS, Azure, and Google Cloud, allowing cloud compute to access on-premises data with local performance. Ephemeral instances cache data for burst workloads, while persistent instances mirror writes for full durability. Together, they extend your global namespace seamlessly into any cloud region without re-architecting applications.

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