Startup Cloud Credits
Got AWS Activate, Google for Startups, Azure, NVIDIA Inception, or Nebius credits? Use them across Saturn Cloud with pre-configured ML environments and H100 and H200 GPUs, with no extra platform fee.
The problem
Most AI startups have cloud credits sitting across three or four providers. The problem isn't getting them, it's actually using them before they expire.
5 separate cloud consoles to check, each with different UIs, billing dashboards, and GPU configurations
Hours setting up CUDA, drivers, and ML frameworks from scratch on each provider
Rewriting or reconfiguring code every time you move between AWS, GCP, and Nebius
Credits expiring unused because the friction of using each platform was too high
No unified view of GPU spend, credit burn rate, or team usage across providers
One dashboard. Connect your cloud accounts once - AWS, GCP, Azure, Nebius, and manage everything from Saturn Cloud
Pre-configured CUDA environments. Launch a GPU workspace and your code runs, regardless of which provider is underneath
Standard Python. The same PyTorch, HuggingFace, or vLLM code runs identically across every backend with no changes required
Actually use your credits. Lower friction means your team actually runs jobs instead of waiting for infrastructure to be set up
Automatic idle shutdown so credits aren't consumed by forgotten notebooks running overnight
Supported programs
Saturn Cloud installs into your existing cloud account. If your startup credits are applied to one of these providers, you can use Saturn Cloud on top of them.
| Program | Provider | Typical credit value | Saturn Cloud support | Notes |
|---|---|---|---|---|
| AWS Activate | Amazon Web Services | Up to $100K | ✓ Supported | Saturn Cloud installs in your AWS account – credits apply to underlying EC2 GPU costs |
| Google for Startups | Google Cloud | Up to $350K | ✓ Supported | Saturn Cloud on GCP – credits apply to compute costs |
| Azure for Startups | Microsoft Azure | Up to $150K | ✓ Supported | Saturn Cloud on Azure – credits apply to GPU instance costs |
| NVIDIA Inception | NVIDIA | Varies | ✓ Supported | Saturn Cloud is an NVIDIA-preferred platform with no extra fee for Inception members |
| Nebius AI Cloud | Nebius | Varies | ✓ Supported | H100 and H200 from $2.95/hr via Nebius – B200 and B300 available by request |
Saturn Cloud installs inside your cloud account, and your credits apply to the underlying compute costs you would pay directly to the provider. Contact us to confirm how your specific credit arrangement works.
How it works
Why Saturn Cloud
Pre-configured CUDA, drivers, and ML frameworks. Launch a GPU workspace and your code runs. No driver debugging, no environment setup, no DevOps required.
PyTorch, HuggingFace, vLLM, and Unsloth run as-is. No proprietary SDK to learn. Your code is portable and runs identically on any backend.
Run workloads across AWS, GCP, Azure, and Nebius from the same dashboard. Route to whichever provider has GPU availability or the best credit value.
SSO, RBAC, shared environments, per-team quotas, and automatic idle shutdown. Built for ML engineering teams, not just individual researchers.
Deploys inside your own cloud account. Your VPC, your IAM roles, and your data never touch Saturn Cloud's servers. SOC 2 compliant.
Lower friction means your team actually runs jobs instead of procrastinating because of setup complexity. Idle shutdown prevents credits from being wasted on forgotten resources.
FAQ
Saturn Cloud itself charges no markup on top of the GPU compute rate. Since Saturn Cloud runs inside your cloud accounts, your startup credits apply to the underlying compute costs on those accounts. For specifics on how your credit arrangement works, talk to our team.
Yes. Once you've connected your cloud accounts to Saturn Cloud, you can provision workloads on any of them from the same dashboard. Run a fine-tuning job on Nebius with your Nebius credits and an inference endpoint on AWS with your AWS Activate credits, all managed in one place.
Your underlying cloud provider will charge your payment method on file once credits are exhausted. This is the provider's billing policy, not Saturn Cloud's. Saturn Cloud's automatic idle shutdown helps stretch your credits further by preventing wasteful idle GPU usage.
Yes. You can connect a single cloud account and use Saturn Cloud exclusively on that provider. The multi-cloud capability is there when you need it, but you don't have to use it.
H100 and H200 SXM instances are available across Nebius, AWS, GCP, and Azure via Saturn Cloud. H100 and H200 start from $2.95/hr via Nebius. B200 and B300 Blackwell instances are available via Nebius reservation. For LLM fine-tuning and inference, H100 is the right choice for most workloads.
Saturn Cloud doesn't add a markup on top of GPU compute rates; you pay the published rate for whatever provider you're running on. For specifics on how your credit arrangement applies, talk to our team.
Yes. Saturn Cloud installs inside your existing AWS account. It doesn't replace your existing infrastructure; it runs alongside it in your VPC. You can keep your existing pipelines and add Saturn Cloud for ML workloads specifically.
Saturn Cloud base images include pre-configured CUDA and driver support for PyTorch, HuggingFace Transformers, TRL, vLLM, Unsloth, FastAPI, and Dask. Custom Docker images are supported if you need something specific.
Saturn Cloud runs where your credits live. Sign up and start building.