CoreWeave vs Nebius: Inference & Compute Comparison
Compare CoreWeave and Nebius side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
The short answer
Choose CoreWeave if significantly lower GPU pricing compared to AWS, Azure, and GCP hyperscalers.
Choose Nebius if massive scale with 2+ GW contracted power, expanding to 3+ GW.
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Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | — |
| Best For | AI companies and startups that need large-scale GPU clusters for training and inference | — |
| Website | coreweave.com | nebius.com |
| Key Features |
| — |
| Use Cases |
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Pros & Cons: CoreWeave vs Nebius
- +Significantly lower GPU pricing compared to AWS, Azure, and GCP hyperscalers
- +Purpose-built for AI workloads with optimized networking and Kubernetes orchestration
- +Transparent pricing with no hidden fees for data egress or core services
- +Up to 60% discounts available for committed usage, excellent for predictable workloads
- −No free tier or trial period, requiring upfront payment commitment
- −Smaller ecosystem compared to major cloud providers may limit integration options
- −Less mature than hyperscalers in terms of managed services and tooling
- −À la carte pricing model requires careful calculation of total costs including CPU and RAM
- +Massive scale with 2+ GW contracted power, expanding to 3+ GW
- +Latest NVIDIA hardware including B200 Blackwell and GB300
- +Up to 35 percent savings with reserved capacity
- +Strong employee satisfaction (4.5/5) in Amsterdam
- −No free trial makes evaluation difficult without upfront commitment
- −Work-life balance concerns cited by some employees
- −Over 90 percent Russian language creates barrier for non-Russian speakers
- −Newer player compared to established cloud providers
Pricing: CoreWeave vs Nebius
- · Pay-as-you-go pricing
- · Immediate availability
- · No commitments
- · Free data egress
- · Up to 60% discount
- · Reserved capacity
- · Predictable pricing
- · Priority support
- · NVIDIA B200 Blackwell
- · Interruptible compute
- · Cost-optimized
- · Multiple GPU options
- · GB300, GB200, H200, H100
- · Immediate availability
- · Multi-month commitment
- · Large-scale clusters
- · Predictable pricing
When to Choose CoreWeave vs Nebius
- Large language model training
- Distributed training across GPU clusters
- High-performance inference at scale
About CoreWeave
CoreWeave is a specialized cloud infrastructure provider founded in 2017 in New Jersey by Michael Intrator, Brian Venturo, Brannin McBee, and Peter Salanki. Originally started by three commodities traders, CoreWeave has grown into a leading GPU cloud platform built specifically for AI and machine learning workloads. Based in Livingston, New Jersey, with approximately 1,871 employees as of January 2026, CoreWeave offers on-demand access to NVIDIA H100 and A100 GPUs with significantly lower pricing than traditional hyperscalers. The platform provides Kubernetes-native orchestration, fast networking, and flexible scaling, making it popular with AI labs, research institutions, and startups that need large GPU clusters without long-term commitments. CoreWeave's infrastructure is designed from the ground up for GPU-accelerated workloads, offering up to 60% discounts over on-demand prices for committed usage, with transparent pricing that doesn't charge for data egress, IOPS, or core networking services.
About Nebius
Nebius Group is an AI cloud infrastructure company headquartered in Amsterdam, Netherlands, providing a unified platform spanning data processing, model training, and production deployment. Listed on Nasdaq (NBIS) with a USD 25.8 billion market capitalization and 1,371 employees, Nebius offers NVIDIA GB300, GB200, B300, B200, H200, and H100 GPUs. Current pricing includes B200 Blackwell GPUs at USD 2.69 per hour for preemptible instances, with up to 35 percent savings on on-demand rates for multi-month reserved clusters. The company has secured over 2 gigawatts of contracted power with expectations to reach 3+ GW by year-end, enabling massive scale. Nebius expects annualized revenue run-rate of USD 7-9 billion by end of 2026, up from USD 1.25 billion in 2025, with USD 2.1 billion in Q4 2025 capital expenditures. Amsterdam employees rate the company 4.5 out of 5 stars, praising great people, good salary, and interesting projects, though some cite work-life balance concerns and over 90 percent Russian language barrier for non-Russian speakers.
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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