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Lambda Labs Cloud vs Vast.ai

Not sure which of these tools fits your work? Compare Lambda Labs Cloud and Vast.ai to see what you can do with each, what you'll pay and what to check before you choose.

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Compare features and pricing for Lambda Labs Cloud, Vast.ai
What matters to youLambda Labs CloudVast.ai
Best suited to
  • AI startups and ML engineers
  • Foundation model training
  • GPU-intensive inference workloads
  • Researchers needing H100/B200 access
  • Enterprises building AI infrastructure
  • ML researchers and students
  • AI startups on tight budgets
  • Developers fine-tuning models
  • Batch inference workloads
  • GPU experimentation and prototyping
Starting priceFrom $0.55From $0.29
CategoryHosting ProvidersHosting Providers
Ratings shown4.5 / 5 (850 reviews shown)4.5 / 5 (190 reviews shown)
Features to compare
  • On-demand NVIDIA GPUs
  • H100 and B200 GPU instances
  • AI training infrastructure
  • 1-Click multi-node clusters
  • Superclusters for foundation models
  • InfiniBand 400 Gb/s networking
  • No egress or ingress fees
  • Pre-configured deep learning images
  • PyTorch and TensorFlow support
  • SSH and JupyterLab access
  • API automation
  • SSD-backed storage
  • Private cloud deployments
  • Liquid-cooled AI infrastructure
  • Per-minute billing
  • Peer-to-peer GPU marketplace
  • RTX 4090 and H100 GPU hosting
  • B200 GPU support
  • Docker-based deployment
  • Serverless OpenAI-compatible endpoints
  • Web console CLI and API
  • Bring-your-own containers
  • Usage-based hourly pricing
  • Spot and interruptible instances
  • Crypto payments via BitPay
  • 2FA security
  • Jupyter notebook templates
  • Multi-region GPU providers
  • Containerized ML workflows
  • Thousands of GPU listings
Strengths
  • Competitive GPU pricing compared to hyperscalers
  • Access to latest NVIDIA GPUs
  • No egress fees
  • Excellent for distributed AI training
  • Simple deployment workflow for ML engineers
  • Cheapest public GPU pricing for many flagship GPUs
  • Massive GPU hardware selection and flexibility
  • Standard Docker workflows reduce lock-in
  • Strong support reputation and rapid innovation
  • Excellent for experimentation and AI fine-tuning
Considerations
  • GPU availability can fluctuate during demand spikes
  • Persistent storage tied to regions
  • No paused/shutdown state for instances
  • Strict refund policy concerns from some users
  • Reliability varies between marketplace hosts
  • Long-running workloads require checkpointing
  • Less suitable for enterprise production deployments
  • Requires technical knowledge of containers and infrastructure

Before you decide

  1. Which tool fits the way you work?
  2. What will it cost you now and when you renew?
  3. Can you try it on a real task before you choose?

Questions you may have when comparing Lambda Labs Cloud and Vast.ai

What's different about Lambda Labs Cloud and Vast.ai?

Lambda Labs Cloud lists On-demand NVIDIA GPUs, H100 and B200 GPU instances and AI training infrastructure. Vast.ai lists Peer-to-peer GPU marketplace, RTX 4090 and H100 GPU hosting and B200 GPU support. Start with the features you would actually use, then check which plan includes them. A shorter feature list doesn't necessarily mean a tool can't do something you need.

Which one will cost me less?

Compare the total for your team, not just the starting price. Check the billing period, currency, number of users, usage limits and renewal rate, then add any extras you need. If you try a free plan or trial, check what happens when you reach its limits.

How do I choose between Lambda Labs Cloud and Vast.ai?

Pick a task you do often and try it in both tools. If you need GPU Cloud Hosting and AI Infrastructure, start there. See which feels easier to use and works with the tools you already rely on. Before you pay, check the plan limits and whether you can get the support you need.