GPU Cloud Review2026
CoreWeave
Enterprise GPU cloud with per-GPU pricing and Kubernetes-native infra
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9/10Best Kubernetes-native GPU cloud with per-GPU pricing and cutting-edge hardware access.About CoreWeave
CoreWeave started as a crypto mining operation and pivoted to GPU cloud in 2019. Today it's the go-to GPU cloud for enterprise AI workloads — offering Kubernetes-native infrastructure, per-GPU pricing (not per-node), high-speed InfiniBand networking, and access to the latest NVIDIA hardware including H100, H200, and B300.
Founded
2017
HQ
Livingston, NJ
Pricing
On-demand per-GPU hourly + reserved contracts
Min Commit
1 hour (on-demand); 3–12 months (reserved)
GPU Pricing
| GPU | VRAM | Price | Best For |
|---|---|---|---|
| B300 SXM 288GB | 288 GB | $8.50/GPU/hr | Frontier model training (Blackwell Ultra) |
| B200 SXM 192GB | 192 GB | $6.50/GPU/hr | Next-gen frontier training |
| H200 SXM 141GB | 141 GB | $5.20/GPU/hr | LLM inference & training |
| H100 SXM 80GB | 80 GB | $4.76/GPU/hr | Large-scale training |
| A100 SXM 80GB | 80 GB | $2.21/GPU/hr | Fine-tuning & research |
| MI300X 192GB | 192 GB | $4.10/GPU/hr | High-VRAM AMD workloads |
| L40S 48GB | 48 GB | $1.50/GPU/hr | Inference & rendering |
Pros
- ✓Per-GPU pricing — pay for exactly the GPUs you use (not full 8-GPU nodes)
- ✓Kubernetes-native: deploy GPU workloads as K8s pods natively
- ✓Latest NVIDIA hardware: H100, H200, B200, B300 available
- ✓InfiniBand HDR/NDR for multi-node training clusters
- ✓Strong enterprise SLAs and dedicated account management
- ✓Persistent volumes, object storage, and private networking
Cons
- ✗Higher barrier to entry — enterprise sign-up required for full access
- ✗More complex pricing than Lambda's flat hourly model
- ✗Spot market not as deep as AWS/GCP
Available Regions
US East (LGA1, EWR1)US Central (ORD1)US West (LAS1)Europe (AMS1, LHR1)
CoreWeave is Best For
- →Enterprise ML teams
- →Kubernetes-native AI platforms
- →Teams needing per-GPU billing
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