Comparison

Lambda (Lambda Labs) vs Paperspace

On the evidence we track, Paperspace leads this comparison with a composite score of 71/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Lambda (Lambda Labs)50
Paperspace71
Score
Vioscale score
Lambda (Lambda Labs)50 / 100low · 14%updating
Paperspace71 / 100medium · 62%updating
Pricing
Free tier
Lambda (Lambda Labs)
Paperspace
Model
Lambda (Lambda Labs)commercial
Paperspacefreemium
Price level
Lambda (Lambda Labs)
Paperspacelow
Starting price
Lambda (Lambda Labs)
Paperspace$8
Transparent
Lambda (Lambda Labs)
Paperspace
Integrations
Count
Lambda (Lambda Labs)
Paperspace4
Security
Gdpr
Lambda (Lambda Labs)
Paperspace
Iso27001
Lambda (Lambda Labs)
Paperspace
Pci
Lambda (Lambda Labs)
Paperspace
Soc2
Lambda (Lambda Labs)
Paperspace
Reliability
Sla pct
Lambda (Lambda Labs)
Paperspace99.99
Market

Capabilities

Feature-by-feature on the axes that matter for gpu cloud. “-” means undocumented, not absent.

Capabilities
Deployment model
Lambda (Lambda Labs)Managed k8s
Paperspace-
Interconnect
Lambda (Lambda Labs)-
Paperspace-
Max cluster scale
Lambda (Lambda Labs)Rack scale
Paperspace-
Kubernetes support
Lambda (Lambda Labs)-
Paperspace-
Slurm support
Lambda (Lambda Labs)-
Paperspace-
Spot preemptible pricing
Lambda (Lambda Labs)-
Paperspace-
Per second billing
Lambda (Lambda Labs)-
Paperspace-
Reserved capacity contracts
Lambda (Lambda Labs)
Paperspace-
Amd GPU support
Lambda (Lambda Labs)
Paperspace-
SOC2
Lambda (Lambda Labs)
Paperspace-
Multi region
Lambda (Lambda Labs)
Paperspace-
Pricing model
Lambda (Lambda Labs)Quote only
Paperspace-

What each one is

The product in its own terms, so the numbers below have context.

Lambda (Lambda Labs)

Lambda provides managed GPU computing infrastructure and dedicated supercomputer clusters for training and deploying large-scale AI models. The platform offers single-tenant clusters with exclusive hardware access, support for NVIDIA's latest GPUs, and end-to-end operational management to eliminate infrastructure burden.

Independently observed

Paperspace

Leader

A managed cloud platform for machine learning engineers that combines subscription-based plans with usage-based GPU compute charges. Offers a range of GPU instances, collaborative tools, notebooks, and workflow management capabilities.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Lambda (Lambda Labs)

Pricing not documented yet.

Paperspace

Leader
from $8/moHybridFree tier

From free to $8/month subscription plus pay-per-hour GPU utilization costs. No long-term commitments required.

  • FreeFree
    • Basic instances
    • Faster free GPUs & IPUs access
    • Free machine types
  • Pro$8/month plus hourly utilization charges
    • Mid-range and high-end machines
    • Collaboration tools
    • Expert support
    • Notebook versioning
    • Private container registry
    • +1 more
  • EnterpriseContact sales
    • Unlimited storage
    • Solutions engineering
    • Premium support
    • SSO (Single Sign-On)
    • Self-hosted cloud deployment (AWS, GCP, Azure)
    • +2 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Lambda (Lambda Labs)
Paperspace
CLI
Lambda (Lambda Labs)
Paperspace
Deployment
Cloud / SaaS
Lambda (Lambda Labs)
Paperspace
Self-hosted
Lambda (Lambda Labs)
Paperspace
On-premise
Lambda (Lambda Labs)
Paperspace
Hybrid
Lambda (Lambda Labs)
Paperspace

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Lambda (Lambda Labs)

Not documented yet.

Paperspace

Leader
4 total
  • GitHub
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.