The VAST Data AI Operating System unifies on-premises and cloud environments into a single, intelligent data platform. It removes the operational boundary between where data lives and where AI compute runs, so enterprises can use cloud accelerators and services without creating parallel datasets, migration projects, or new silos. The same VAST software and capabilities are delivered consistently across supported clouds, making it possible to extend an existing environment into the cloud, or the cloud to on-prem, while keeping one data plane and one operational model.
Unify data across on-prem and cloud
VAST AI OS connects on-prem and cloud environments into a single Global Namespace for file and object access. Instead of creating separate copies on-prem and in cloud, workloads can access the same dataset regardless of location, while keeping consistent paths, metadata, and data services.
Simplify data operations for AI across hybrid cloud
VAST turns enterprise data into continuously usable AI context across on-prem and cloud by maintaining current metadata, embeddings, and indexes alongside the data itself. Teams can ingest and enrich data once, keep derived representations refreshed as source data changes in either location, and reuse that context across projects without rebuilding pipelines when workloads shift between on-prem and cloud. This keeps retrieval grounded in what is current and reduces the operational friction of hybrid AI.
Build cloud-ready AI data services with a consistent platform layer
VAST provides the AI data services production systems rely on, delivered consistently across clouds and integrated with hybrid deployments. Vector-aware search and retrieval can be operated as a shared service, with real-time and batch processing in the same environment, so teams avoid assembling separate indexing, caching, and database stacks for each cloud region or account. This makes it easier to standardize how applications produce and consume embeddings, manage derived context, and promote high-value outputs into reusable enterprise knowledge.
Operate with cloud-scale governance and operational visibility
VAST enforces access controls and policy consistently across hybrid deployments, reducing the complexity of governing data as it spans on-prem and cloud environments. It provides centralized auditing and provenance, so teams can verify what data was accessed and trace outputs back to source material when needed for compliance, investigation, or quality review. For operational oversight, VAST exposes the signals teams rely on to monitor data and pipeline health across environments, helping operators detect drift, troubleshoot performance issues, and maintain predictable behavior as models, prompts, and workflows change.
Highlights
Extend your existing VAST environment into the cloud without changing how applications access data.
Run cloud training, fine-tuning, inference, and retrieval against enterprise datasets without creating a separate cloud copy.
Preserve consistent security, permissions, and policy behavior across on-prem and cloud deployments.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
VAST Data platform price varies according to components used and consumption. Reach out to our sales team at aws-sales@vastdata.com to request a customized AWS Marketplace Private Offer tailored to your capacity, compute, and use case requirements.
$1,000,000.00
Fixed compute plan (CPU Core)
VAST Data platform price varies according to components used and consumption. Reach out to our sales team at aws-sales@vastdata.com to request a customized AWS Marketplace Private Offer tailored to your capacity, compute, and use case requirements.
You buy this platform through a contract with two pricing dimensions. The Fixed capacity plan bills by storage capacity in terabytes. The Fixed compute plan bills by CPU core. Both dimensions cover the same data platform, which handles storage, database, and AI pipeline work. Your final price depends on the components you use and how much you consume. Because pricing is customized, you request a Private Offer from the vendor's sales team. That offer is tailored to your capacity, compute, and use case needs. Choose the dimension that matches how you plan to scale.
Top-of-mind questions for buyers
What does the Fixed capacity plan measure, and what counts toward it?
The Fixed capacity plan bills by storage capacity in terabytes (TB). This covers data written to the unified store, whether block, file, or object. Both structured tables and unstructured content like video, documents, and audio count against your provisioned capacity. Your final price also reflects the components you use.
What does the Fixed compute plan measure, and how is it counted?
The Fixed compute plan bills by CPU core. Cores handle the platform's processing work, such as data enrichment, database queries, and AI pipeline actions. You provision cores based on how much processing your workload needs. More cores support faster analytics and heavier pipeline automation.
Which dimension should I pick if my storage and compute needs grow differently?
The two dimensions bill independently. Choose the Fixed capacity plan if your data volume grows faster than your processing needs. Choose the Fixed compute plan if your workload demands more processing power relative to storage. The architecture separates compute from capacity, so each can scale on its own.
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Support
Vendor support
Support for VAST Data AI Operating System is provided by VAST Data. Product documentation and support resources are available through the VAST Data Knowledge Base and the VAST Data Support Portal, which also provides tools to manage support cases (login required for full access). If you are a VAST customer or partner and need portal access, contact your support team to request a login. VAST Data Services & Support include software updates and upgrades, software support and maintenance, and other related services as described in the VAST Data Services & Support Terms and Conditions.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
The VAST Data Platform is a highly scalable file, object, and database platform that allows you to seamlessly access your data whenever you need it, wherever you need it: on-prem, edge, and cloud.
VAST-Cohesity File and Object Implementation is a data protection service offering that provides customers with a comprehensive data protection solution for their on-premises infrastructure environments.
VAST – AWS Workspaces Implementation is a virtual desktop (VDI) service offering that provide customers with a virtual desktop infrastructure (VDI) in AWS.
Embracing today’s Generative AI is essential to stay competitive. VAST is proud to offer a tailored GenAI Workshop designed to help your organization seamlessly integrate Amazon Q Business into your operations. Amazon Q Business is a powerful AI tool that can transform your data into actionable insights, driving efficiency and innovation.
VAST Data’s Unified Namespace Makes Storage Consolidation Effortless
Reviewed on Sep 30, 2026
Review provided by G2
What do you like best about the product?
What I like best is how VAST Data consolidates multi-tier storage into a single, unified namespace.
What do you dislike about the product?
The platform relies heavily on an ultra-low-latency RDMA network fabric to avoid processing bottlenecks.
What problems is the product solving and how is that benefiting you?
VAST Data solves the problem of complex multi-tiered storage silos by consolidating all our structured and unstructured data into one high-performance namespace. This directly benefits us by eliminating the manual overhead of moving data between tiers, radically simplifying our operations while giving us the speed of all-flash storage at an affordable scale.
KESHAV B.
Vast Delivers Instant Access to All Data and Unifies Multiple Tools Seamlessly
Reviewed on Sep 27, 2026
Review provided by G2
What do you like best about the product?
What I appreciate most about Vast data is that it simply eliminates waiting around for data. Previously, if someone needed older data, there was always a delay. With Vast, everything is on fast storage. So accessing a file from a year ago feels just as instantaneous as pulling up something created an hour ago. Another huge benefit is how smoothly it handles different tools. Some of our applications are like a normal network folder while others expect modern cloud-based data access. With Vast, both sides can tap into the exact same data set without having to make duplicate copies or run conversion jobs. It keeps our daily workflow clean and removes a lot of usual data transfer shortcomings.
What do you dislike about the product?
The biggest limitation with VAST is that it’s really built for large-scale operations. If your data footprint isn’t that big, the platform often doesn’t make financial or practical sense. The initial entry point also requires a significant physical footprint, which can rule it out for smaller branch offices, small pilot projects, or teams that only need tens of terabytes. Another consideration is how demanding it can be on your network infrastructure. Because the hardware relies on high-bandwidth switches to deliver those top-tier speeds, your network environment has to be in good shape. Even a small configuration oversight in your network fabric can quickly bottleneck the system. It isn’t a simple “plug it into an existing rack and forget it” box.
What problems is the product solving and how is that benefiting you?
Before bringing in VAST, our biggest headache was the friction between active storage and archive storage. When projects wrapped up or data sets grew too large, we had to move files onto slower, cheaper storage to save money. But whenever teams needed to rerun historical numbers or revisit older data sets, people were stuck waiting hours—or even days—for data to be revived. That created constant delays across projects and ate up valuable time just moving files around. VAST solves this by letting us keep everything on a single, fast system. Because all our data stays readily accessible at full speed, nobody has to wonder where an old file went or put in a request for an archive restore. Project turnaround times are noticeably faster, and our team can spend working hours actually analyzing data and delivering results, rather than wrestling with transfers and copying data back and forth.
Steven L.
Powerful All-Flash Platform for AI and HPC
Reviewed on Sep 26, 2026
Review provided by G2
What do you like best about the product?
I really like Vast Data's unified platform that brings together files, objects, tables, and streams into a single namespace, which saves time and reduces complexity. The AI-native design built with GPUs and AI pipelines in mind is another standout feature, making it feel future-proof. I also appreciate the combination of speed and simplicity that Vast Data offers, which makes management easier for IT teams and data scientists alike. Lastly, the initial setup was easier than legacy systems because of Vast Data's containerized, unified design. Even though the main challenges are more about adoption and integration than the installation itself, it provides consistent speed even at an exabyte scale, which is relatively rare.
What do you dislike about the product?
The high upfront costs of Vast Data's all-flash architecture are a bit of a downside. While it's powerful, it can be expensive and tricky for smaller organizations or those with more modest workloads to justify. Even though deduplication and compression help over the long term, the initial barrier is pretty steep. This doesn't mean it's not valuable, but it's definitely better suited for organizations with large-scale, performance-hungry workloads. For smaller IT environments or companies that prioritize cost over cutting-edge performance, other options might make more sense. There's also the learning curve for teams switching from legacy systems, which takes time to navigate, and the ecosystem maturity compared to older players is still something Vast is working on, with integration and community resources still growing.
What problems is the product solving and how is that benefiting you?
Vast Data solves performance bottlenecks in AI and HPC workloads by using all-flash storage, eliminating latency. It unifies multiple systems into a single platform, reducing complexity and managing data more easily for enterprises handling high-performance tasks.
Izzy H.
Scalable and Responsive, But With a Learning Curve
Reviewed on Sep 25, 2026
Review provided by G2
What do you like best about the product?
I like how Vast Data makes managing and working with large data amounts feel more streamlined and scalable. It's really helpful for data-heavy workloads where performance and quick access are crucial. What stands out for me is how responsive it is with demanding workloads, even with a lot of data. I don't have to wait around or worry about performance issues. I appreciate Vast Data's unified storage approach, fast data access, and scalability. The centralized platform simplifies my work because it saves me from handling separate storage environments for different workloads. Plus, the initial setup was pretty simple.
What do you dislike about the product?
The main area for me personally is always the learning curve. Vast Data has a lot going on under the hood, and some of the terminology and configuration options can feel quite technical when you're first getting familiar with the platform. The complexity was most noticeable for me when first understanding how the different parts of the platform fit together, especially around configuration storage, managing data access, and knowing which settings are the best for different workloads.
What problems is the product solving and how is that benefiting you?
Vast Data helps me manage large data volumes centrally, reducing complexity and improving performance for heavy workloads.
Blake E.
Effortless Storage Management with Vast Data
Reviewed on Sep 22, 2026
Review provided by G2
What do you like best about the product?
I love how easy Vast Data is to use and how quickly I can get storage up and running with it. The wizards are effective at setting up storage pools quickly. I also like the reports it provides on what is happening with the storage. Overall, everything works really well for me.
What do you dislike about the product?
Nothing, It all works great
What problems is the product solving and how is that benefiting you?
Vast Data helps me create storage pools quickly, is easy to use, and provides effective reporting on storage activity.