GPU capacity, found and placed.

Your team has a model ready to train. You need GPUs, and they have to fit the job. Offers come in fast. Many were never going to work.

So we start by writing your need down with you. Then the search is short and sharp.

Workload

Training, fine-tuning or inference, and what it runs on now.

GPUs

The type of GPU, the memory on each one, and how many you need.

Network

Whether the job spans many machines, and the network and storage that takes.

Commitment

Reserved for a term, on demand, or a mix. And how much give you need.

Location

The regions you need, where your data must stay, and how fast it must respond.

Timing

When you need it, and how fast you plan to scale up.

Access

Bare metal, virtual machines or a managed cluster, and the tools you run it with.

Budget

How you like to pay and compare offers. You share numbers only if and when you choose.

Maybe you reserved more than you need. Maybe a cluster sits idle between projects. Maybe you run your own hardware with room to spare.

We describe what you have, plainly and accurately. We look for a team whose need truly fits. We introduce you only when you agree.

You set the terms you will offer. You sign with the other side yourself.

Check your own contracts first. Some don’t let you offer capacity to a third party. Ask your counsel before you offer it.

• In the middle

  We don’t run data centers or hold capacity of our own. The deal is between you and the other side.

• Paid in the open

  You see how we’re paid, and by whom, in writing. That comes before any introduction.

• You check for yourself

  Check the hardware, the location, the service levels and the terms yourself. We help you know what to ask.