A private GPU cluster for your research

Your institution owns the servers and your data stays on them. We find a data center with the power campus can’t provide, and run the cluster for you.

Why labs own their GPUs

  • Your data stays on your hardware

    Dedicated servers that only your team uses.

  • No queue

    No waiting for a shared cluster or cloud capacity.

  • Equipment, not a bill

    A one-time purchase that can fit a grant budget. The institution keeps the hardware.

  • Power campus doesn’t have

    An 8-GPU server draws about 15 kW. We place it where the power is.

Built around your procurement

Purchase orders and contracts are in your institution’s name. We compare several vendors for your file and handle NVIDIA’s end-user paperwork.

Tell us your data requirements, such as HIPAA or keeping data in one state, and we’ll pick a site to match.

Ballpark costs

B300 server (8 GPUs)
$550-650K
B200 server (8 GPUs)
$450-500K
H200 server (8 GPUs)
$340K
Networking for a cluster
$50-70K per server
Data center
$4-5K a month per B300 server
Our setup fee
$25K for 1-7 servers
Our management fee
From $1K a month per 4 servers

We guide. You decide.

  1. Scope it

    Tell us your workload, budget, and timeline. You get a plan and ballpark costs.

    One call

  2. We build it

    We compare vendors and data centers side by side. You pick, and we handle the rest in your name.

    60-90 days typically

  3. We run it

    Monitoring, repairs, and warranty claims, on an annual contract.

    Ongoing

Tell us about your lab.

  • A call with our CTO about what you need
  • Ballpark costs and timelines for your budget
  • A straight answer if it’s not a fit

Prefer email? hello@amcompute.com

Questions from research teams

Whose name is the hardware in?
Your institution’s. You can pay every vendor directly.
Can you work with our procurement office?
Yes. We provide specs, pricing, and vendor details for your purchasing team.
Our building can’t power these servers.
That’s common. We place the cluster in a U.S. colocation site, as close to you as capacity allows.
Can several groups share the cluster?
Yes. A scheduler such as Slurm lets groups share the GPUs. We set it up with your research computing team.
Can we use grant funds?
Many grants allow equipment purchases. Check your award terms, and we’ll provide pricing for your budget.

Further reading

Hardware and hosting

Want your own cluster? We’ll run it.

Plan a deployment