CoreWeave vs Lambda Labs: GPU cloud pricing compared
CoreWeave and Lambda Labs are the two specialist GPU clouds most often shortlisted against the hyperscalers for H100 training clusters. CoreWeave is the larger of the two with HGX H100, H200, GB200, and B200 capacity at scale. Lambda Labs is the researcher-first option with the cleanest UX in the category and on-demand H100 access without a hard reservation. Both publish public rate cards we can verify.
Side-by-side
| Dimension | CoreWeave | Lambda Labs |
|---|---|---|
| Cheapest published rate | $6.155/GPU-hr (H100 SXM per-GPU on 8x) | $3.29/GPU-hr (H100 SXM on-demand per-GPU) |
| Pricing model | On-demand and reserved capacity | On-demand and Reserved Cloud (1-3 year) |
| Networking | InfiniBand-first on HGX nodes | InfiniBand on Reserved Cloud clusters |
| Capacity reality | Reservation is the practical entry point at scale | On-demand waitlists common at H100 peak demand |
| Best for | Production training clusters at scale | ML research teams and smaller-cluster training |
You are procuring a large H100 / H200 / GB200 cluster on a 1-3 year reservation, you want InfiniBand-first networking on every HGX node, and you have an account team relationship that justifies the larger commitment.
You are an ML research team that wants the cleanest researcher UX (Lambda Stack pre-installed), an on-demand option for short H100 runs, and a Reserved Cloud path when you scale.
Worked example
Acme MLOps Co. (illustrative example, not a real company) needs an 8-GPU H100 cluster for 30 days at 18 hours per day (4,320 GPU-hours). At CoreWeave's published H100 rate ($6.155/GPU-hr, H100 SXM HGX H100 8x node, per-GPU) that is roughly $26,590; at Lambda Labs's published H100 rate ($3.290/GPU-hr, H100 SXM On-demand, per-GPU on 8x), roughly $14,213 for raw GPU compute, before storage, egress, and MLOps overhead.
Last verified June 2026.