Lambda Labs GPU pricing 2026
ML-focused GPU cloud with the cleanest researcher UX in the category. Lambda Stack ships pre-installed with CUDA, cuDNN, PyTorch, and TensorFlow.
Published rate card
Per-GPU per-hour rates pulled from the vendor pricing page linked above, Last verified June 2026. Rates exclude storage, egress, and any managed-service uplift. Reserved-capacity contracts typically improve on these rates.
| GPU | Configuration | Per GPU per hour |
|---|---|---|
| H100 SXM | On-demand, per-GPU on 8x | $3.290 |
| H100 PCIe | Per-GPU | $2.490 |
| A100 80GB SXM | Per-GPU on 8x | $1.790 |
| A100 40GB PCIe | Per-GPU | $1.290 |
| A10 | Per-GPU | $0.750 |
| Quadro RTX 6000 | Per-GPU | $0.690 |
Hidden costs to watch
- On-demand H100 capacity is intermittent; multi-week waitlists are common.
- Lambda Reserved Cloud is the practical path to dedicated H100 / H200 / B200 nodes (1-3 year terms).
- Storage, snapshot, and inter-region transfer billed separately.
What Lambda Labs is best for
ML researchers and small teams who want H100 / H200 access without negotiating an enterprise reservation.
See the GPU cloud buying guideWorked example
Acme Vision Co. (illustrative example, not a real company) needs to train a 10 billion-parameter vision-language model on a fixed 8-GPU cluster for 30 days at 18 hours per day duty cycle.
At Lambda Labs's cheapest published rate of $0.69 per GPU-hour, the run costs $2,981 for raw GPU compute, before storage, egress, and MLOps overhead. Add the typical 25 percent year-one uplift and the modelled spend is $3,726. Use the calculator on the homepage to model your own GPU class, cluster size, and duty cycle.
Last verified June 2026. Lambda Labs rates change frequently. Always obtain a vendor quote before purchase.
Visit Lambda Labs pricing page