Lambda vs CoreWeave
A detailed comparison to help you choose between Lambda and CoreWeave.
Quick Verdict
3.7/5
Lambda
0 reviews
3.6/5
CoreWeave
0 reviews
Lambda is rated higher (3.7 vs 3.6). Lambda is a GPU cloud for training and running AI models, offering on-demand NVIDIA GPU instances and reserved clusters for AI teams and researchers. CoreWeave is a purpose-built GPU cloud for AI — 40,000+ NVIDIA GPUs including H100, A100, and RTX. Used by OpenAI, Mistral, and Cohere. Kubernetes-native and connected to NVIDIA.
Lambda On-demand GPU cloud for ML training and inference | CoreWeave Purpose-built cloud for AI and GPU workloads | |
|---|---|---|
| Overview | ||
| Rating | 3.7 (0 reviews)✓ | 3.6 (0 reviews) |
| Pricing model | usage-based | usage-based |
| Starting price | From $0.69/mo | Free tier available |
| Best for | ML researchers and engineering teams optimizing cost per GPU-hour for training, fine-tuning, and batch inference who can tolerate best-effort capacity. | AI labs and ML teams running sustained training or high-throughput inference where dedicated GPUs, NVLink/InfiniBand and a real uptime SLA justify premium pricing |
| Specifications (entry plan) | ||
| CPU cores | 14 vCPU | — |
| RAM | 46 GB | — |
| Storage | — | — |
| Bandwidth | — | — |
| SLA uptime | — | 99.9% |
| Data-center count | 14 | 50✓ |
| €/vCPU/mo | €0.05 | — |
| €/GB RAM/mo | €0.01 | — |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | [US x10 regions, Tokyo, Osaka, India, Germany, Israel] | 50+ data centers across the United States and Europe |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi access | hourly billinggpu availableus datacenterapi accesskubernetes support |
| Visit Lambda → | Visit CoreWeave → | |
Lambda
Pros
- + Published per-minute GPU pricing with no egress fees
- + Preinstalled ML stack (Lambda Stack) on all images
- + Full cloud API for instance automation
- + Free egress keeps large checkpoint downloads cheap
- + Cluster tier scales from 16 to 2,000+ GPUs for distributed training
Cons
- - No published uptime SLA for on-demand instances
- - Popular H100 configurations sell out regularly
- - One European region (Germany); no Latin America or Australia
- - No managed databases, snapshots, or backup products
- - Filesystem billing continues after instance deletion
CoreWeave
Pros
- + Published public pricing for the main GPU lines — H100 node $49.24/hr on-demand, $19.71/hr spot — which is more transparency than most GPU clouds offer
- + Broad NVIDIA catalog (L40 to GB300 NVL72) with managed Kubernetes and Slurm control planes included and InfiniBand at up to 3,200 Gbps
- + Contractual reliability: 99.9% cross-region SLA (99% single region) with service credits, plus SOC 2 and ISO posture
- + 50+ data centers across the US and Europe, and S3-compatible object storage for training data and checkpoints
Cons
- - Premium per-GPU rates versus spot resellers — often 2-3x higher per GPU-hour for comparable silicon
- - Whole 8-GPU nodes are the default unit of sale; some configurations still route through sales and component pricing (classic line) complicates the bill
- - No cheap entry tier and no general-purpose cloud story — the fit is poor for anything that is not GPU-bound
- - Counterparty concentration: heavy NVIDIA dependence plus the debt-financed build-out of a young public company
Stay in the loop
Get weekly updates on the best new hosting and infrastructure providers, deals, and comparisons.
No spam. Unsubscribe anytime.