GPU infrastructure, without the guesswork

Compute that keeps its promises.

GPU Cloud gives developers and teams a fast, accountable path to reliable accelerators — with the rate, reservation, and stop condition visible before you press launch.

Start building Read the field notes

Now serving H100, A100, L40S, RTX 4090

live control plane

SYS / 07:42:16 UTC

GPU
CLOUDCONTROL PLANE

CAPACITY28 offers / live

SPEND GUARD$217.60 / $400.00

MODEL ROUTER99.2% available

latency 42 msreservation armedregion eu-west

Rates in integer centsMaximum charge before launchProvider path abstractedCommercial licenses checkedRates in integer cents

A calmer operating model

Infrastructure should answer before you ask.

Most GPU platforms make you trade control for speed. We made the controls part of the speed: a bounded, legible route from offer to serving.

01 / RESERVE

Know the ceiling before the machine starts.

Set a maximum duration and charge. We reserve the full amount, then request capacity. No optimistic estimates hiding in the margins.

02 / RUN

See the real operating picture.

Rates, regions, reliability, and time remaining share one view. Decisions don’t wait for a billing export.

03 / SERVE

Put policy next to performance.

Only models with current commercial-serving permission move through the registry and into production.

Capacity, made legible

Find the right silicon, not a mystery box.

A live board of published offers. Compare on-demand and interruptible capacity by region, memory, reliability, and actual hourly rate.

Refresh interval / 30 secView capacity board ↗

H100 80GB80 GB99.4%$2.48

A100 80GB80 GB98.7%$1.29

L40S48 GB97.8%$0.92

RTX 409024 GB96.9%$0.61

Model serving, with a paper trail

Your endpoint is only as trustworthy as its inputs.

01Registry checks the serving license.

02Reservations protect the inference budget.

03Every publication is recorded for the team.

$gpu model publish llama-3.1-8b

license commercial-serving permitted
route us-east / A100 80GB
budget $80.00 reserved

→publication recorded / model_01JX8M5K

“The useful abstraction isn’t hiding the machine. It’s making the important parts impossible to miss.”

— GPU Cloud operating principle / rev. 1.4

Your next run can be different

Bring the workload. Keep the boundaries.

Open a workspace, inspect today’s offers, and launch a bounded instance in minutes.

Create your workspace