Inference provider · GPU cloud
Lambda
Quick answer: On-demand/cloud GPU clusters (H100/B200 class) for training and inference at infra scale.
Best for
On-demand/cloud GPU clusters (H100/B200 class) for training and inference at infra scale.
Skip if
You want a single chat completions URL without managing stacks.
Who it fits
- On-demand/cloud GPU clusters (H100/B200 class) for training and inference at infra scale.
- Builders who start in the browser without a local IDE setup
Pros
Cloud GPUs, on-demand clusters, and hardware for training and inference (B200/H100 class) — scale cost-effectively.
Cons
Infrastructure-first — you manage stacks more than calling a single chat completions URL.
Facts
- Locality:
- Cloud-native
- Surfaces:
- Web
- Maturity:
- General availability
Agent standards & memory
AGENTS.md: N/ASKILL.md: N/ARules / memory: Cluster credentials and endpoint URLs.Pay-as-you-go GPU (no free SKU).
Compare one neighbor first
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Official links
Alternatives
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