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Cloud · head to head

Lambda vs Sourcegraph

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Free plan
No
Full reviewWebsite
Sourcegraph logo

Sourcegraph

Developer Tools

Code search and intelligence platform for large codebases with Cody AI assistant

From
$16000/year
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; Sourcegraph enterprise pricing starting at $16k annually creates significant barrier for small teams
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Lambda and Sourcegraph actually diverge.

Attributes where Lambda and Sourcegraph differ
AttributeLambdaSourcegraph
Starting priceOn request$16000/year
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacitysubscription
PlatformsCloudCloud, Self-hosted
CategoryCloudDeveloper Tools
Founded2012Unknown

Identical on both: free tier (No), 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 Sourcegraph

Nothing recorded that Lambda does not also cover.

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 Sourcegraph
  • Large-scale inference serving on enterprise-grade hardwarenot Sourcegraph
  • Multi-GPU distributed training with InfiniBand networkingnot Sourcegraph
  • Single-tenant secure compute for regulated industriesnot Sourcegraph
  • AI lab infrastructure for frontier model developmentnot Sourcegraph

Sourcegraph

  • Large-scale code migrations across hundreds of repositoriesnot Lambda
  • Enterprise governance and code ownership trackingnot Lambda
  • AI-assisted bug hunting and security pattern detectionnot Lambda
  • Onboarding engineers into large unfamiliar codebasesnot Lambda
  • Regulatory compliance and code audit trailsnot 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

Sourcegraph

  • Enterprise pricing starting at $16k annually creates significant barrier for small teams
  • No free tier or standard plan published; all options require custom sales engagement
  • Complex enterprise-only positioning limits adoption compared to GitHub Copilot's pervasiveness
  • Requires indexing entire codebase; not suitable for small or ephemeral projects

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

Sourcegraph

$16000/year
  • Enterprise$16000/year
    • Scales with team size
    • Credits for AI features per user
    • Deep Search

Which should you pick?

Choose Lambda if

  • You need superclusters.
  • You work on Cloud.
  • You also want 1-click clusters.
Lambda review

Choose Sourcegraph if

  • You work on Cloud, Self-hosted.
Sourcegraph review

Questions people ask

Is Lambda or Sourcegraph better?
Neither clearly leads. Lambda starts at On request and Sourcegraph at $16000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Sourcegraph?
Lambda starts at On request and Sourcegraph at $16000/year.
Does Lambda or Sourcegraph run on more platforms?
Lambda runs on Cloud. Sourcegraph runs on Cloud, Self-hosted.
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 Sourcegraph is typically brought in for.
What can Lambda do that Sourcegraph cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling.

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.

Source
Lambda: 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.

Source
Lambda: 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.

Source
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