Your first session

Sign in

Go to run.meshia.io and sign in with your email. No password. We send a 6-digit code. Check your inbox, enter the code, and you're in.

Pick a GPU

On the dashboard, click New session. You'll see a list of available GPUs with their VRAM, hourly price, and current availability. If you're not sure what to pick, start with the lowest-cost available GPU that fits your model in VRAM. You can always stop the session and relaunch on a larger card once you know the workload.

Pick one and hit Select.

Name your session

Give your session a short name like "llama-finetune" or "diffusion-exp-3". This shows up in your dashboard, experiment logs, and agent memory. Keep it descriptive. You'll thank yourself later.

What happens during provisioning

After you click Launch, Meshia provisions a GPU pod. This usually takes 30 to 90 seconds. You'll see a status indicator move through: queued → provisioning → starting → running. The workspace opens automatically once the pod is live.

Your first message

Once the workspace loads, you'll see the active chat alongside the workspace tabs. Type something like:

Set up a Python environment with PyTorch 2.2 and download the Alpaca dataset

The agent will start executing immediately, installing packages, writing scripts, and downloading data. You can watch terminal and activity output update as it works.

That's it. You're running on a GPU with an AI agent. Everything from here is just telling it what to do next.