← Predictable dedicated GPU capacity
Lambda vs CoreWeave for Predictable dedicated GPU capacity (Oct 2026)
Depot Pick for this job: Lambda. CoreWeave is a ranked runner-up. Both have a sourced price in usd_per_gpu_hour, so this comparison is like for like on price. Prices are each provider's lowest sourced SKU in that unit only (no blending across units, input/output or context tiers), not quality-adjusted.
Scores as of 2026-09-14 / 2026-10-19 (43 / 8 days; stale after 30). Prices carry their own dates.
| Lambda (Depot Pick) | CoreWeave | |
|---|---|---|
| Job-weighted overall | 7.82 | 7.47 |
| Capability fit | 8.8 | 9.2 |
| Price / performance | 6.8 | 5.5 |
| Latency / reliability | 8.8 | 9 |
| Developer & agent DX | 8.5 | 7.5 |
| Privacy / data retention | 7.8 | 8.2 |
| Lock-in risk (higher = worse) | 5.5 | 6.5 |
| Maturity / track record | 8.6 | 8.8 |
| Lowest sourced SKU (usd_per_gpu_hour) | $2.79 (NVIDIA A100 SXM 80GB) source · as of 2026-10-19 | $6.16 (NVIDIA HGX H100 inference single GPU) source · as of 2026-10-19 |
| Free option for this job | none listed | none listed |
| Score kind / confidence | curated_estimate / high | curated_estimate / high |
When not to use Lambda
Need max enterprise K8s (CoreWeave) or burst serverless (Modal/RunPod).
Lock-in
Stored lock-in risk (0–10, higher = more lock-in): Lambda 5.5, CoreWeave 6.5.
Agents: GET /api/compare?providers=lambda,coreweave&jtbd=predictable-gpu · full job page · methodology