Saturn Cloud Free GPU Plan - 150 Hours/Month
Source: https://saturncloud.io/plans/saturn_cloud_plans
Description
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+ 1 Saturn Cloud offers a free Hosted plan with 150 hours of compute per month, covering both CPU and GPU instances. You get access to NVIDIA T4 GPUs (16 GB VRAM) through browser-based JupyterLab, along with Dask clusters for distributed computing. No credit card required. The platform supports Python and R, integrates with popular IDEs like VS Code and PyCharm via SSH, and includes persistent storage so your work survives between sessions.
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+ 7 1. Go to saturncloud.io and click Start for free
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2. You'll be redirected to the hosted registration page at app.community.saturnenterprise.io
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+ 9 3. Sign up with your email address or a supported SSO method (Google, GitHub)
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+ 10 4. Confirm your email address
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+ 11 5. Once logged in, create a new Jupyter Server resource and select a T4-XLarge GPU instance type under the free plan
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+ 12 6. Click Start to launch your GPU-powered notebook environment
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+ 13
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+ 14 Important:
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+ 15 • No credit card is required for the free plan
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+ 16 • The free plan was previously 10 hours GPU + 3 hours Dask per month, then upgraded to 30 hours, and is now at 150 hours/month
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+ 17 • Hours are shared across GPU and CPU instances -- using a GPU instance consumes from the same 150-hour pool
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+ 18 • Hours reset at the beginning of each calendar month
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+ 24 ResourceSpecification
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+ 25 GPUNVIDIA Tesla T4
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+ 26 GPU VRAM16 GB GDDR6
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+ 27 GPU ArchitectureTuring (Tensor Cores for FP16/INT8)
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+ 28 CPU Cores (GPU instance)4 vCPUs
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+ 29 RAM (GPU instance)16 GB
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+ 30 CPU-only instancesUp to 64 GB RAM
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+ 31 Dask Workers (free tier)3 workers, 4 cores + 16 GB RAM + 1 GPU each
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+ 37 ResourceLimit
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+ 38 Monthly compute hours150 hours (GPU + CPU combined)
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+ 39 GPU instance typeT4-XLarge only
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+ 40 CPU instance typeLarge CPU only
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+ 41 Dask clustersIncluded (consumes from same hour pool)
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+ 42 Persistent storageIncluded
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+ 43 Auto-shutdownWorkspaces auto-shutdown when idle
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+ 44 Concurrent resourcesLimited (exact number not published)
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+ 50 • JupyterLab notebooks with GPU support
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+ 51 • RStudio support for R users
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+ 52 • VS Code and PyCharm connection via SSH
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+ 53 • Dask distributed computing clusters
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+ 54 • Git integration for version-controlled workflows
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+ 55 • Shared folders for collaboration
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+ 56 • Pre-installed libraries: PyTorch, TensorFlow, RAPIDS, LightGBM, XGBoost, and standard data science stack
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+ 57 • Docker image customization for custom environments
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+ 58 • Jobs and Deployments for running scheduled tasks and serving models
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+ 59 • Background execution so training continues after you close the browser
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+ 65 • Idle auto-shutdown saves hours: Saturn Cloud automatically shuts down idle workspaces, so you won't waste your 150-hour quota by forgetting to stop a session
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+ 66 • Use Dask for distributed workloads: The free tier includes Dask clusters, which is rare for free GPU plans. Great for data processing at scale
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+ 67 • RAPIDS acceleration: Saturn Cloud has deep integration with NVIDIA RAPIDS for GPU-accelerated Pandas, scikit-learn, and graph analytics
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+ 68 • Chain with other free tiers: Export models trained on Saturn Cloud and deploy elsewhere (e.g., Hugging Face Spaces, Modal, or Beam Cloud)
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+ 69 • Paid upgrade path: The Pro plan adds pay-as-you-go access to larger GPU instances including H100 and H200 at $2.95/hour
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+ 70 • Enterprise options: Hosted Pro and VPC deployments on AWS available for teams needing more control
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+ 71 • Frequent disconnections: Some users report occasional disconnections on the free tier; save checkpoints frequently
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+ 74
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+ 75 Sources:
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+ 76 • Saturn Cloud Plans and Pricing
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+ 77 • Saturn Cloud 150 Free Hours Announcement
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+ 78 • Saturn Cloud 30 Free Hours Blog Post
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+ 79 • Saturn Cloud Free GPU Landing Page
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+ 80 • Free Cloud GPU Comparison 2026 - AI Multiple
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+ 81 • Free GPU Cloud Trials 2026 - GMI Cloud
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