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CoreWeave vs NVIDIA DGX Cloud: Complete Comparison (2026)

An in-depth comparison of CoreWeave and NVIDIA DGX Cloud to help you choose the right tool for your business.

Last updated: November 2026

CoreWeave logo

CoreWeave

6.4/10

Winner

CoreWeave is a GPU-focused cloud that rents NVIDIA GPU and CPU instances, managed Kubernetes, and storage to teams training and serving AI models.

NVIDIA DGX Cloud logo

NVIDIA DGX Cloud

5.9/10

A managed AI training and inference platform on NVIDIA GPU clusters hosted with major clouds and NVIDIA Cloud Partners. It is aimed at enterprises and AI developers.

Feature-by-Feature Comparison

Feature
CoreWeave logo
CoreWeave
NVIDIA DGX Cloud logo
NVIDIA DGX Cloud
Scores
Overall Rating6.4/105.9/10
Integration6/107/10
Analytics6/105/10
Customization7/106/10
Ease of Use5/105/10
Support7/108/10
Cost6/103/10
Scalability9/109/10
Security7/107/10
Pricing
Free planNoNo
Cheapest paid planContact for pricingContact for pricing
Estimated cost for 10 usersContact for pricingContact for pricing
Features
API and CLI
Managed DatabasesNot listed
Managed WordPressNot listed
Multiple Regions
Object StorageNot listed
Uptime SLANot listed
Serverless Functions
Managed KubernetesNot listed
Dedicated ServersNot listed
Cloud Compute
Content Delivery NetworkNot listed
Shared HostingNot listed

Which One Should You Choose?

CoreWeave logo
Why choose CoreWeave

  • Higher Cost score (6/10 vs 3/10)
  • Higher Analytics score (6/10 vs 5/10)

NVIDIA DGX Cloud logo
Why choose NVIDIA DGX Cloud

  • Higher Integration score (7/10 vs 6/10)
  • Higher Support score (8/10 vs 7/10)
  • Includes Serverless Functions, which CoreWeave lacks

Pros & Cons

CoreWeave logo
CoreWeave

Pros

  • Free internet egress and internal data transfer, which lowers the cost of moving large datasets and model checkpoints.
  • Large inventory of current NVIDIA hardware, from L40S to GB200 NVL72, with InfiniBand for multi-node training.
  • Spot rates are well below on-demand rates, for example $19.71 versus $49.24 per hour for an 8-GPU H100 node, and committed discounts reach up to 60%.
  • The CKS control plane and SUNK Slurm scheduler are free, so you pay only for compute.
  • A Terraform and OpenTofu provider manages clusters, VPCs, storage, and inference as code.

Cons

  • No free tier or trial credits, and minimum spend is reported to be high even for light use.
  • No managed databases, serverless functions, or CDN, so a second cloud is often needed.
  • Regions are concentrated in North America and Europe, with limited Asia-Pacific coverage.
  • The best pricing usually requires multi-year contracts and an enterprise sales process.
  • Few public user reviews are available on G2 or Gartner to validate claims.

NVIDIA DGX Cloud logo
NVIDIA DGX Cloud

Pros

  • Clusters are co-engineered with each major cloud (AWS, Google Cloud, Azure, OCI) and come with NVIDIA's full software stack.
  • Customers get access to NVIDIA experts, which is rare among GPU cloud providers.
  • Lepton gives a single workflow across many GPU providers, with region choice for data sovereignty.
  • Through build.nvidia.com, developers can use prebuilt NIM microservices and serverless endpoints without managing clusters.

Cons

  • NVIDIA publishes no prices, and the core service requires a negotiated private offer.
  • Review-site summaries repeatedly describe the pricing as expensive.
  • Press reports say NVIDIA has scaled back DGX Cloud as a hyperscaler rival, so its direction is uncertain.
  • Lepton access requires an application, and NVIDIA controls the allocation layer between you and the partner providers.

Not sold on either?

Frequently Asked Questions

CoreWeave scores higher on our AI Software criteria: 6.4/10 against 5.9/10 for NVIDIA DGX Cloud. The largest gap is in Cost: 6/10 for CoreWeave and 3/10 for NVIDIA DGX Cloud.

No, neither CoreWeave nor NVIDIA DGX Cloud lists a free plan.

NVIDIA DGX Cloud has Serverless Functions, which CoreWeave lacks.

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