Platforms

The right platform for the AI you actually plan to run.

Whether AI runs in your data center, in the cloud, or across both, the platform has to fit the workload. We design and deploy the compute, storage, and cloud platforms AI depends on.

Discuss your AI readiness

Why it matters

AI workloads put different demands on compute, storage, and networking than the applications most environments were built for. Getting the platform wrong shows up as stalled projects, idle hardware, or cloud costs nobody planned for.

We size and design platforms around the AI you actually intend to run, whether that is in your data center, in a public cloud, with a NeoCloud provider, or across all of them, and then deploy them as one team.

What we hear

“We don't know whether to buy GPUs, rent them, or wait.”

“Our storage can't keep up with the data our models need.”

“We bought for a pilot and now we have to scale it.”

What we deliver

Platform assessment and sizing

Review your planned workloads and current environment, then size compute, storage, and networking to match.

GPU and accelerated compute

Design and deploy accelerated compute, from a few servers to full racks, with the power and cooling planned in.

AI-ready storage

Put storage in place that can feed AI workloads at the speed they need and grow with your data.

On-premises, cloud, and hybrid deployment

Deploy on premises, in public cloud, or across both, with a clear rationale for where each workload runs.

What changes

A platform matched to real workloads, not guesses

Capacity that can grow with demand

One team from design through deployment

How we deliver

Plan

We learn your environment, your goals, and your constraints before we propose anything.

Design

We design the solution around how your business runs and the requirements you have to meet.

Deploy

We build, test, and deploy it, wherever the work needs to happen.

Manage

Where it is in scope, we keep it running and improving after launch.

Technology we work with

See all partners

Part of our relationships with over 80 technology manufacturers. We recommend what fits your environment, not a single vendor.

VAST Data

Questions we get asked

Should AI run on premises or in the cloud?

It depends on your data, your workloads, and how predictable your usage is. We walk through the tradeoffs with you and design for the mix that fits.

Can you deliver the hardware as well as the design?

Yes. We design the platform, coordinate procurement across our manufacturer partners, and build and deploy it.

What if our needs change after the first deployment?

We plan for growth from the start, so adding capacity is a planned step rather than a redesign.

Connected practices

Cloud Engineering

Private, hybrid, and public cloud designed to be operated, not just launched.

Cybersecurity

Security across endpoint, identity, cloud, and applications, connected to the environment it protects.

Core Infrastructure

Network, compute, storage, data center, and workplace technology, including rack and technology integration.

Managed Services

Day-to-day operations and support from people who know your environment.

Let's talk about what you're building next.

Tell us what you're planning, where the work needs to happen, and what's getting in the way.