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Lambda Labs Cloud vs Paperspace by DigitalOcean

Not sure which of these tools fits your work? Compare Lambda Labs Cloud and Paperspace by DigitalOcean 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, Paperspace by DigitalOcean
What matters to youLambda Labs CloudPaperspace by DigitalOcean
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 engineers and researchers
  • Students learning AI and deep learning
  • Developers wanting easy GPU infrastructure
  • Teams already using DigitalOcean
  • Experimentation and prototyping workflows
Starting priceFrom $0.55From $0.00 / free plan available
CategoryHosting ProvidersHosting Providers
Ratings shown4.5 / 5 (850 reviews shown)4.7 / 5 (36 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
  • Gradient Jupyter notebook platform
  • Free GPU and CPU notebook tier
  • Pay-per-second GPU billing
  • NVIDIA A4000 A5000 A6000 A100 and H100 GPUs
  • SSH and Docker access
  • Persistent notebook environments
  • Git integration
  • ML Showcase templates
  • Team collaboration tooling
  • Gradient Deployments model serving
  • Windows cloud desktops
  • No ingress or egress bandwidth fees
  • DigitalOcean ecosystem integration
  • API automation
  • Block storage and persistent datasets
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
  • Excellent beginner-friendly GPU cloud experience
  • Integrated notebooks and ML tooling reduce setup time
  • Free GPU tier available for experimentation
  • No ingress or egress bandwidth charges
  • Beautiful UI and strong DigitalOcean ecosystem integration
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
  • GPU pricing higher than some competitors
  • H100 availability can be inconsistent
  • Billing continues while powered-off machines are reserved
  • Limited geographic regions outside US and Europe

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 Paperspace by DigitalOcean

What's different about Lambda Labs Cloud and Paperspace by DigitalOcean?

Lambda Labs Cloud lists On-demand NVIDIA GPUs, H100 and B200 GPU instances and AI training infrastructure. Paperspace by DigitalOcean lists Gradient Jupyter notebook platform, Free GPU and CPU notebook tier and Pay-per-second GPU billing. 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 Paperspace by DigitalOcean?

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.