Lambda Labs vs CoreWeave
GPU Pricing Comparison
| GPU | Lambda Labs $/hr | CoreWeave $/hr | Savings |
|---|---|---|---|
| nvidia-a10 | $0.60 | — | — |
| RTX A5000 | — | $0.77 | — |
| RTX A6000 | $0.80 | — | — |
| nvidia-rtx-a6000 | — | $1.07 | — |
| A100 40GB SXM | $1.10 | — | — |
| A100 80GB SXM | $1.29 | $2.06 | 37% with Lambda Labs |
| A100 40GB PCIe | — | $1.41 | — |
| L40S | — | $1.54 | — |
| H100 SXM | $2.49 | $4.76 | 48% with Lambda Labs |
| nvidia-h200 | — | $5.49 | — |
Feature Comparison
FeatureLambda LabsCoreWeave
Provider TypeGPU CloudGPU Cloud
Billing Granularitysecondminute
Autoscaling No Yes
SLA Uptime99.9%99.99%
Cold Start30s15s
Free Egress Yes No
Storage Cost$0.1/GB/mo$0.04/GB/mo
GPU Count8 offerings12 offerings
Models OfferedN/AN/A
Pros & Cons Summary
Lambda Labs
Strengths
- +Lower GPU pricing than CoreWeave on most shared GPUs
- +Free data egress
- +Per-second billing for cost efficiency
Weaknesses
- -No autoscaling support
- -Slower cold start times
- -Less GPU variety (5 vs 7 GPU types)
CoreWeave
Strengths
- +Built-in autoscaling support
- +Higher SLA (99.99% vs 99.9%)
- +Faster cold start times
- +More GPU variety (7 vs 5 GPU types)
Weaknesses
- -Higher GPU pricing than Lambda Labs on most shared GPUs
- -Egress fees apply