CoreWeave logo

CoreWeaveVerified

coreweave.com

MLOps & InfrastructureVerifiedVerified#577 Ranked

Specialized GPU cloud provider for AI workloads.

Quick Information

Category:
MLOps & Infrastructure
Pricing:
Contact Sales
Platforms:
Cloud, Kubernetes
Free Plan:
No
API Available:
Yes
Last Verified:
October 2026

What Is CoreWeave?

CoreWeave is a specialised GPU cloud provider for AI workloads. Its list price for an H100 is about $6.16 per GPU-hour, but the reserved rate is poorly documented and the sources conflict. Most say the published rate is per 8-GPU node, at about $49.24 an hour, or $6.16 per GPU-hour: an NVIDIA HGX H100 8-GPU node lists at $49.24 per node-hour on demand as of August 2026, though one guide says the same H100 is still listed on a legacy Classic pricing page at $4.76 an hour. On spot, the 8x H100 node drops from $49.24 to $19.71 an hour, about $2.46 per GPU. CoreWeave says reserved capacity can be up to 60% cheaper but does not publish the terms, with third-party estimates varying from roughly $2.23 an hour for a two-year contract to about $1.49 to $2.10 an hour for three-year contracts on an older page. The 60% discount maths gives about $2.46 per GPU-hour, but that is an estimate.

For comparison, the same sources list Crusoe H100 at $3.90, Lambda at $3.99 and RunPod Community at $2.69 per GPU-hour, so CoreWeave's list price is higher, reflecting its networking and enterprise focus. I did not reach CoreWeave's own pricing page, so these figures come from third-party aggregators dated August to October 2026, and you should confirm current rates and reserved terms with CoreWeave directly, along with storage and networking charges that are not covered here.

CoreWeave suits large AI labs and enterprises that need big, high-performance clusters with reserved capacity. Compare Lambda, Crusoe and Nebius. Browse the MLOps & Infrastructure tools directory for more.

What Can You Use CoreWeave For?

Large-scale GPU training

HGX clusters.

Enterprise AI infrastructure

Reserved capacity.

CoreWeave Features

  • Node-based pricing — 8 GPUs per node.
  • Spot discounts — About 60% off.
  • Unpublished reserved terms — Negotiated.

Who Is CoreWeave For?

  • AI labs — Scale.
  • Enterprises — Reserved capacity.

CoreWeave Pros & Limitations

What We Like

  • Large high-performance clusters
  • Spot discounts
  • Reserved options

Limitations

  • Higher list price per GPU
  • Reserved terms unpublished
  • Pricing from third parties

CoreWeave Pricing

PlanPriceMain Features
H100 on demand$49.24 per 8-GPU node-hour (about $6.16 per GPU-hour)As of August 2026; legacy Classic page $4.76
H100 spot$19.71 per 8-GPU node-hour (about $2.46 per GPU)Reported
Reserved capacityUp to 60% off (terms unpublished); estimates $1.49-$2.46 per GPU-hourBy contract

Pricing was last verified October 2026. Check the official website for the latest pricing.

Check Current Pricing

AI Listing Jungle Ranking

Global Rank:
#577
Overall Score:
62.5/100
Monthly Users:
–
Rank Change:
▲ 983

This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by CoreWeave or its company. How Our Rankings Work

Frequently Asked Questions

How much is an H100 on CoreWeave?

About $6.16 per GPU-hour on demand.

Is spot cheaper?

About $2.46 per GPU-hour.

Are reserved prices public?

No; up to 60% off is claimed.

How does it compare?

Higher than Lambda, Crusoe and RunPod list prices.

Our Take

CoreWeave is built for big AI workloads.

Negotiate reserved terms.

CoreWeave Alternatives

Amazon SageMaker logo

Amazon SageMaker

MLOps & Infrastructure
VerifiedVerified
Arize AI logo

Arize AI

MLOps & Infrastructure
VerifiedVerified
Axolotl logo

Axolotl

MLOps & Infrastructure
VerifiedVerified
Azure Machine Learning logo

Azure Machine Learning

MLOps & Infrastructure
VerifiedVerified

Ready to try CoreWeave?

Visit the official website to get started.

Visit Official Website

AI Listing Jungle is an independent AI tools directory. Product names, logos, and trademarks belong to their respective owners.