Atlas Cloud is active here. We do not have a founding year or a headquarters on file. Billing is per hour. The recorded payment method is credit card. The published catalogue is short: H200 and H100 SXM.
Why Atlas Cloud stands out
The tagline is a scalable GPU cloud for training and inference. Our data records persistent storage, multi-GPU, an API, Jupyter, and Docker. Kubernetes, spot, reserved instances, and SOC 2 are not set.
Pros
- Per-hour billing and a published H200 and H100 SXM
- Jupyter, Docker, an API, and persistent storage recorded
Cons
- Only two published GPU rows
- No Kubernetes, spot, or reserved instances in our data
- Not marked SOC 2 compliant
- No founding details on file
Getting started
- Open Atlas Cloud and compare the H100 or H200 offer with the hourly row here.
- Pay by credit card.
- Use Jupyter or Docker. Both are recorded. Do not plan on Kubernetes.
Best for: An hourly H100 or H200 rental with Jupyter and Docker, when a two-card catalogue is enough.