Keywords AI

CoreWeave vs Nebius

Compare CoreWeave and Nebius side by side. Both are tools in the Inference & Compute category.

Quick Comparison

CoreWeave
CoreWeave
Nebius
Nebius
CategoryInference & ComputeInference & Compute
PricingUsage-based
Best ForAI companies and startups that need large-scale GPU clusters for training and inference
Websitecoreweave.comnebius.com
Key Features
  • Large-scale GPU clusters (H100, A100)
  • InfiniBand networking for distributed training
  • Kubernetes-native orchestration
  • On-demand and reserved capacity
  • Bare-metal performance
Use Cases
  • Large language model training
  • Distributed training across GPU clusters
  • High-performance inference at scale
  • AI startup compute infrastructure
  • Batch processing and fine-tuning

When to Choose CoreWeave vs Nebius

CoreWeave
Choose CoreWeave if you need
  • Large language model training
  • Distributed training across GPU clusters
  • High-performance inference at scale
Pricing: Usage-based

About CoreWeave

CoreWeave is a specialized cloud provider built from the ground up for GPU-accelerated workloads. Offering NVIDIA H100 and A100 GPUs on demand, CoreWeave provides significantly lower pricing than hyperscalers for AI training and inference. The platform includes Kubernetes-native orchestration, fast networking, and flexible scaling, making it popular with AI labs and startups that need large GPU clusters without long-term commitments.

About Nebius

Nebius (Nasdaq: NBIS) is a major GPU cloud provider spun off from Yandex, offering large-scale NVIDIA GPU clusters for AI training and inference. With data centers in Europe and expanding globally, Nebius provides enterprise-grade AI infrastructure with competitive pricing and dedicated support for large-scale AI workloads.

What is Inference & Compute?

Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.

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