Think big, very big…think vast.

All your data, flash performance, archive economics

save up to 50% versus public cloud

Invest with confidence

History is made every day as new organizations across the planet discover, tune and deploy AI-fueled innovation to power more sophisticated products and services, to build better customer and patient experiences and outcomes, to transform supply chains and to improve product quality.

For those pioneers, the opportunity to accomplish this groundbreaking work cannot be stalled by legacy infrastructure or limited by the weight of costly and complex solutions. Delivering production-ready AI requires expertise in designing the optimal balance of compute, storage and networking to ensure linearly predictable performance that scales in response to business demand.

VAST Data and NVIDIA have teamed up to deliver proven, replicable and validated AI-solutions that every enterprise can benefit from.

ACCELERATE time to Deploy

Just as traditional compute (CPU-based) infrastructure is ill-suited for AI workloads, legacy storage architectures are no longer adequate for meeting the I/O demands of GPU-equipped systems.

Together with NVIDIA, VAST Data has taken the guesswork out of AI infrastructure by providing a Reference Architecture to help you:

Maximize predictable performance for all AI workloads
Remove the cost and risk of roll-your-own infrastructure
Simplify infrastructure design & scale witha single integrated solution for all AI workloads

Analysis without Paralysis

SAVE UP TO 50% WITH THE AI CLOUD YOU OWN

The VAST Data AI TCO analysis can help you quickly and easily determine the Total Cost of Ownership (TCO) savings and business value benefits from combined VAST Universal Storage and NVIDIA DGX A100 solutions, specifically tailored for your individual requirements and goals.

BESPOKE TCO ANALYSIS

ai-ready infrastructure ( your choice, at the push of a button )

VAST and NVIDIA have assembled best of breed resellers and hosting partners to deploy AI-ready PODs on-premises or in hosted environments.

Scaling AI successfully requires more than high-performance infrastructure. For organizations that don’t have experience in-house, AI infrastructure can be complex to design, time-consuming to deploy, and expensive to support across a multilayered technology stack from multiple vendors. The decision of where to locate this infrastructure is often the hardest.

NVIDIA DGX™ A100 system features eight NVIDIA GPUs and two 2nd Gen AMD EPYC™ processors.