Cloud · head to head
Lambda vs Sweep

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Free plan
- No
The short version
- Only Sweep has a free tier, so it costs nothing to try first.
- Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; Sweep limited to JetBrains IDEs only, not available for VS Code or other editors
- They diverge on capability: Lambda covers Superclusters, Sweep covers Autocomplete.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Lambda and Sweep actually diverge.
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Lambda
- Superclusters
- 1-Click Clusters
- On-demand instances
- Liquid cooling
- InfiniBand networking
- Managed orchestration
- Co-engineering support
Only in Sweep
- Autocomplete
- AI Agent
- Full codebase indexing
- Code review functionality
- Multi-IDE support
- GitHub integration
What people use each for
The jobs each tool is most often brought in to do.
Lambda
- Training foundation models at scale with dedicated GPU infrastructurenot Sweep
- Large-scale inference serving on enterprise-grade hardwarenot Sweep
- Multi-GPU distributed training with InfiniBand networkingnot Sweep
- Single-tenant secure compute for regulated industriesnot Sweep
- AI lab infrastructure for frontier model developmentnot Sweep
Sweep
- Accelerating code completion for JetBrains developersnot Lambda
- Automating refactoring tasks across codebasesnot Lambda
- Handling bug fixes with full repository contextnot Lambda
- Code review and quality assurancenot Lambda
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Lambda
- No free tier or trial, requiring immediate commitment for testing
- Single-tenant Superclusters require custom pricing discussions
- Pricing complexity across multiple GPU types and cluster sizes
- Less suitable for experimentation or small teams with tight budgets
Sweep
- Limited to JetBrains IDEs only, not available for VS Code or other editors
- Free tier limited to 1,000 autocompletes per month
- API credit consumption varies by feature usage
- Performance dependent on codebase size and indexing quality
Pricing, plan by plan
Lambda
On request- 1-Click Clusters B200$undefined/hourly
- 16 GPUs: $9.86/GPU/hour
- 256+ GPUs: $8.87/GPU/hour
- 1-year+ reserved discounts available
- 1-Click Clusters H100$undefined/hourly
- 16 GPUs: $6.16/GPU/hour
- 256+ GPUs: $5.54/GPU/hour
- On-Demand Instances B200$undefined/hourly
- SXM6: $6.69/GPU/hour
- On-Demand Instances H100$undefined/hourly
- SXM: $3.99/GPU/hour
Sweep
Free- FreeFree
- 1,000 autocompletes
- 5 USD API credits included
- All JetBrains IDEs supported
- Pro$20/month
- Unlimited autocomplete
- Higher API credit allocation
- Priority support
- Ultra$60/month
- Unlimited autocomplete
- Maximum API credit allocation
- Extended context window
Which should you pick?
Choose Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
Choose Sweep if
- You need autocomplete.
- You want to start without paying.
- You work on JetBrains IDEs.
- You also want ai agent.
Questions people ask
- Is Lambda or Sweep better?
- Neither clearly leads. Lambda starts at On request and Sweep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda or Sweep?
- Sweep has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Sweep.
- Does Lambda or Sweep run on more platforms?
- Lambda runs on Cloud. Sweep runs on JetBrains IDEs.
- Can I use Sweep for free?
- Yes. Sweep has a free tier, so you can try it without paying. Lambda starts at On request.
- What is Lambda best used for?
- Lambda is most often used for training foundation models at scale with dedicated gpu infrastructure, large-scale inference serving on enterprise-grade hardware, multi-gpu distributed training with infiniband networking, single-tenant secure compute for regulated industries. Of those, training foundation models at scale with dedicated gpu infrastructure and large-scale inference serving on enterprise-grade hardware are not what Sweep is typically brought in for.
- What can Lambda do that Sweep cannot?
- Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Sweep covers Autocomplete, AI Agent, Full codebase indexing, Code review functionality.
Answered from the vendors’ own pages
Lambda: What makes Lambda's infrastructure different?
Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.
SourceSweep: What programming languages does Sweep support?
Sweep works with all programming languages supported by JetBrains IDEs, including Python, Java, JavaScript, Go, Kotlin, C++, and many others.
SourceLambda: How does pricing work for large clusters?
1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.
SourceSweep: Does Sweep retain my code data?
No. Sweep is SOC 2 Type II certified with zero data retention. Code is processed for suggestions but not stored.
SourceLambda: Which GPU types are available?
Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.
SourceSweep: Can I cancel my Sweep subscription anytime?
Yes. You can cancel your subscription at any time from your account settings with no long-term commitments or cancellation fees.
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