SageMaker for NeoClouds

Production-ready AI platform that saves your DevOps team months of infrastructure work. Write code with any framework, deploy in your own cloud. Full control of your code and data, zero vendor lock-in.

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Run where your GPUs are

Deploy inside AWS, GCP, Azure, Oracle, Nebius, or Crusoe accounts

Join 100,000+ AI/ML Engineers and Data Scientists using Saturn Cloud

What is Saturn Cloud?

Code-first AI infrastructure for engineering teams. You write standard Python code using any framework. We handle GPU workspaces, job orchestration, and deployment tooling in your cloud, so you don't have to build it yourself.

Development Workspaces

Write Python in Jupyter, VS Code, or any desktop IDE with instant GPU access

Scalable Training Jobs

Execute your training jobs with PyTorch, HuggingFace, or any framework

Production Deployments

Serve models using industry-standard tools, not proprietary APIs

For DevOps & Platform Engineers: You have the cloud and Kubernetes. We handle everything else so your AI teams can self-service without you building custom tooling.

Why Engineering Teams Choose Saturn Cloud

Built for teams that need to ship AI features fast without the infrastructure complexity.

Ship AI Features in Hours, Not Weeks

Go from idea to deployed API in the same day. Spin up H100 GPUs, fine-tune models, and deploy production endpoints without waiting on infrastructure teams.

Your Code, Your Frameworks

Write standard Python that runs anywhere. Use PyTorch, HuggingFace, vLLM, or any framework you want. No proprietary APIs to learn, just infrastructure to run your code at scale.

Access GPUs When You Need Them

Get on-demand access to H100s, H200s, and A100s across multiple GPU clouds at up to 5x lower cost than hyperscalers. No long-term commitments.

Enterprise Security, Zero Setup

Deploy in your cloud account with your VPC, IAM roles, and compliance requirements. Your data never leaves your infrastructure.

How Saturn Cloud Works

Step 1: Connect Your Code and Data

Start with your existing code. Saturn Cloud runs standard Python and R with no proprietary APIs. Connect your Git repos and use IAM roles or encrypted secrets for secure access to your data and cloud resources. If it runs locally, it runs on Saturn Cloud.

Step 2: Choose Your Hardware and Scale

Select from on-demand GPUs (T4, A10, A100, H100, H200) or high-memory CPUs up to 4TB RAM. Need more power? Attach Dask clusters for distributed training and processing. Customize environments with your Docker images or our optimized base images. Pay only for what you use.

Step 3: Write Your Training Code

Use Jupyter, VS Code, or PyCharm to write your own training scripts with GPU acceleration. Fine-tune LLMs with your code using Unsloth and HuggingFace, build RAG systems, or train custom models with PyTorch and TensorFlow. No templates or wizards, just your code on powerful hardware.

Step 4: Deploy with Standard Tools

Deploy your code to production with one click. Serve LLMs with vLLM or NVIDIA NIM, deploy APIs with FastAPI or BentoML, or host dashboards with Streamlit. Run scheduled jobs for your data pipelines. We provide the infrastructure, you provide the code. No vendor lock-in, no proprietary APIs.

A robust machine learning platform within your organization's cloud account

Installing Saturn Cloud Enterprise into your company's cloud account gives you full control over how it's managed, who has access, and other enterprise-level concerns. It also comes with Saturn Cloud support and a variety of high-security options to meet your IT requirements.

Tech specs

AI Development & Training

✓Multi-GPU training with up to 8x H100/H200 GPUs
✓LLM fine-tuning with Unsloth, HuggingFace, PyTorch
✓Distributed training and processing with Dask clusters
✓Jupyter, VS Code, PyCharm, or RStudio environments
✓Custom Docker images or optimized base images
✓Git integration with multi-branch support

Deployment & Production

✓LLM serving with vLLM and NVIDIA NIM
✓Model APIs with FastAPI, BentoML, or custom frameworks
✓Managed dashboards with Streamlit, Plotly, Shiny, Bokeh
✓Scheduled jobs for pipelines and model retraining
✓24/7 API endpoints with auto-scaling
✓Full API and CLI for automation

Enterprise Infrastructure

✓Deploy in your AWS, GCP, Azure, or Oracle cloud account
✓VPC integration and private networking
✓IAM role support for secure cloud access
✓SSO with Okta, Azure AD, and other identity providers
✓Cost controls, quotas, and usage monitoring
✓Secrets management and encrypted storage

Integrations

✓Vector databases (Pinecone, Weaviate, Chroma)
✓Model registries (MLflow, Weights & Biases, Comet)
✓Data warehouses (Snowflake, Databricks, BigQuery)
✓Cloud storage (S3, GCS, Azure Blob)
✓Git providers (GitHub, GitLab, Bitbucket)
✓Monitoring tools (Prometheus, Datadog)

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Loved by Engineers and AI Leaders

AI Engineer
SourceForge
Unleashing the full potential of open-source LLMs was made possible thanks to Saturn Cloud. Allowing me to add GPUs seamlessly immensely accelerated my experimentation process, providing a highly customized sandbox-like environment, ideal for any task that can benefit from the specialization of customized machine learning and data science.
Daniel B
ML Scientist, Cellarity
Saturn Cloud makes my work so much easier. When I sit down at the beginning of the day, I just want my environment to work. I want my favorite packages installed and available on demand. I want it to be easy to scale my workspace and have it shut down automatically when I'm done. Saturn Cloud solves all of that. Their customer service is also top-notch.
Engineer
TrustRadius
Saturn Cloud is a great platform for training AI models. It is easy to use and has a user-friendly interface. I have used it to train BERT models, and it has helped me speed up the training process significantly. I would recommend Saturn Cloud to anyone looking to train AI models.
Seth Weisberg
Principle ML Scientist, Senseye
Taking runtime down from 60 days to 11 hours is such an incredible improvement. We are able to fit in many more iterations on our models. This has a significant positive impact on the effectiveness of our product, which takes many iterations to perform at the standard necessary for our customers.