CoreWeave is a specialized cloud provider offering GPU‑accelerated infrastructure for AI/ML, VFX, and batch compute, with Kubernetes‑native orchestration and rapid scale.
At a glance · prices collected Oct 31, 2026
What's good about CoreWeave
- Extensive selection of NVIDIA GPUs, including latest Blackwell architecture
- Kubernetes-native infrastructure for easy scaling and deployment
- Fast deployment with 10x faster inference spin-up times
- High cluster reliability with 96% goodput and 50% fewer interruptions
- Specialized support for AI, machine learning, and rendering workloads
- Storage priced with no ingress, egress, or transfer fees
- On-demand, spot, and reserved capacity plans for the same GPU fleet
- Expert support from dedicated engineering teams
CoreWeave GPU prices
9 GPU models across 13 configurations. Rank compares CoreWeave's cheapest on-demand listing for each GPU with every provider's cheapest.
| GPU | CoreWeave | -60%median+100% | Rank | vs. median | Report |
|---|---|---|---|---|---|
| H100 SXM 8× · EUROPE | $6.16/hr | #51 of 57 providers | +93% | ||
| A100 SXM 8× · EUROPE | $2.70/hr | #36 of 43 providers | +81% | ||
| H200 8× · EUROPE | $6.30/hr | #35 of 43 providers | +39% | ||
| RTX PRO 6000 8× · EUROPE | $2.50/hr | #28 of 41 providers | +16% | ||
| L40S 8× · EUROPE | $2.25/hr | #38 of 40 providers | +109% | ||
| B200 8× · EUROPE | $8.60/hr | #23 of 33 providers | +15% | ||
| L40 8× · EUROPE | $1.25/hr | #18 of 19 providers | +42% | ||
| GH200 1× · EUROPE | $6.50/hr | #7 of 7 providers | +115% |
What a run costs on CoreWeave
24 hours at today's cheapest listing for each GPU, at the size it is listed.
8× H100 SXM for 24 hours
EUROPE at $6.16/GPU-hr
$1,181.76
$569.28 over the market median rate
8× A100 SXM for 24 hours
EUROPE at $2.70/GPU-hr
$518.40
$232.32 over the market median rate
8× H200 for 24 hours
EUROPE at $6.30/GPU-hr
$1,210.56
$338.96 over the market median rate
The market median is every provider's cheapest on-demand price for that GPU.
Billing & terms
- On-Demand Instances
- Pay-per-hour GPU and CPU instances with flexible scaling and no long-term capacity commitment
- Spot Instances
- Burst capacity at a discount to on-demand rates, published for most GPU and CPU instance types
- Reserved Capacity
- Committed usage discounts up to 60% over on-demand pricing
- Transparent Storage
- No ingress, egress, or transfer fees for data movement on CoreWeave storage
- Inference Per-GPU Pricing
- Separate per-GPU hourly rates available to CoreWeave inference platform customers
- Regions
- On-demand and spot GPU and CPU instances published for North America and Europe, with ongoing global AI data center expansion
- Support
- 24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise
Watch out for
- Data center footprint concentrated in North America and Europe
- Some configurations, including GB300 NVL72 and HGX B300, require contacting sales rather than self-service on-demand
- Specialized nature may not suit all general computing needs
- Learning curve for users unfamiliar with Kubernetes
- Newer player compared to established cloud giants
Features
- Kubernetes-Native Platform
- Purpose-built AI-native platform with Kubernetes-native developer experience
- Latest NVIDIA GPUs
- First-to-market access to the latest NVIDIA GPUs including Hopper (H100, H200, GH200) and Blackwell/Blackwell Ultra (GB200 NVL72, GB300 NVL72, HGX B200, HGX B300)
- Mission Control
- Unified security, talent services, and observability platform for large-scale AI operations, including fleet and node lifecycle controllers
- High Performance Networking
- HPC Interconnect with GPUDirect RDMA over InfiniBand for GPU-to-GPU communication, plus VPCs and Direct Connect private links via Equinix and Megaport
- SUNK (Slurm on Kubernetes)
- Managed Slurm running on Kubernetes for batch and burst training workloads
- Purpose-Built AI Storage
- S3-compatible AI Object Storage, POSIX distributed file storage, single-tenant VAST clusters, and local ephemeral storage on GPU nodes
Services
GPU Instances
On-demand and reserved GPU instances with latest NVIDIA hardware
CPU Instances
High-performance CPU instances to complement GPU workloads
Managed Software Services
Managed orchestration and platform services layered on CoreWeave infrastructure
Getting started
Step 1
Create Account
Sign up for CoreWeave Cloud platform access
Step 2
Choose GPU Instance
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
Step 3
Deploy via Kubernetes
Use Kubernetes-native tools for workload deployment and scaling
Where this page's facts come from
- GPU prices
- CoreWeave (coreweave.com) · last collected Oct 31, 2026
- Profile
- Reviewed Mar 14, 2026
- Method
- How we collect and check prices
Frequently Asked Questions
What GPU types does CoreWeave offer?
CoreWeave offers various GPU types including A100 SXM, A100 SXM, H100 SXM, H100 SXM, GH200, H200, L40, HGX B300, L40S, B200, B200, RTX PRO 6000, RTX PRO 6000. Check the pricing table above for current availability and pricing.
How do I get started with CoreWeave?
Create Account, Choose GPU Instance, Deploy via Kubernetes
What are CoreWeave's main advantages?
CoreWeave's main advantages include: Extensive selection of NVIDIA GPUs, including latest Blackwell architecture, Kubernetes-native infrastructure for easy scaling and deployment, Fast deployment with 10x faster inference spin-up times, High cluster reliability with 96% goodput and 50% fewer interruptions, Specialized support for AI, machine learning, and rendering workloads, Storage priced with no ingress, egress, or transfer fees, On-demand, spot, and reserved capacity plans for the same GPU fleet, Expert support from dedicated engineering teams.
What are CoreWeave's limitations?
CoreWeave's main limitations include: Data center footprint concentrated in North America and Europe, Some configurations, including GB300 NVL72 and HGX B300, require contacting sales rather than self-service on-demand, Specialized nature may not suit all general computing needs, Learning curve for users unfamiliar with Kubernetes, Newer player compared to established cloud giants.
Compare Providers
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