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Renting an instance on Vast.ai involves three main steps that work together to get you the exact computing environment you need.

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The Rental Process

1

Choose Your Template

Select or customize a Docker template that defines your software environment - PyTorch, TensorFlow, Stable Diffusion, or custom configurations.
2

Find Your GPU

Search and filter through available offers to find GPUs that match your performance needs and budget.
3

Configure & Rent

Set your disk size, review the offer details, and launch your instance.

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What You’ll Need to Decide

Before renting an instance, you’ll make key decisions about:
  • Software Environment: Which Docker image and launch mode (SSH, Jupyter, etc.)
  • Hardware Requirements: GPU type, VRAM, CPU, and system RAM needed
  • Storage Size: How much disk space (cannot be changed after creation)
  • Instance Type: On-demand for reliability or interruptible for cost savings
  • Budget: Maximum price you’re willing to pay per hour

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Quick Start Path

For the fastest path to a running instance:
  1. Use a Recommended Template - Pre-configured and tested
  2. Sort by Price - Find the best deals quickly
  3. Check Reliability Score - 95%+ for important work
  4. Start with On-demand - Upgrade to reserved later if needed

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What’s in This Section

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Common Questions

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How long does it take to start an instance?

Usually under 5 minutes with recommended templates. Large custom images may take longer on first launch.

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Can I change my configuration later?

  • Template: No, you need a new instance
  • Disk size: No, fixed at creation
  • Instance type: Can convert on-demand to reserved only

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What if the GPU I want isn’t available?

Set up search alerts or try different regions. Availability changes frequently as a marketplace.

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Next Steps

Ready to get started? Begin with Instance Types → to understand your options.
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