A Detailed Look at GPU Rentals from Nebius AI and CoreWeave
Compare the top GPU rental providers to find the perfect match for your AI research needs. Dive into detailed specifications and reviews to make an informed decision.
Features
Delve into the features of GPU rental companies.
Explore their adaptibility, pricing models, integration, and customer support features and find the best fit for you.
Nebius AI
CoreWeave
Nebius AI targets AI researchers, machine learning engineers, and data scientists needing scalable, high-performance cloud infrastructure for intensive AI and ML workloads.
CoreWeave targets AI and machine learning engineers, VFX and rendering studios, and enterprises needing high-performance GPU computing.
- Nebius AI's Flexible and Competitive Pricing:
Nebius AI offers a dynamic pricing model tailored to various needs. For high-end GPUs like the NVIDIA H100, prices start at $4.85 per hour on a pay-as-you-go basis, with significant discounts available for longer-term commitments—dropping to $3.15 per hour for a 12-month reserve. Nebius AI's pricing is designed to be highly competitive, potentially saving users up to 50% compared to major cloud providers. This makes it ideal for extensive AI and machine learning projects.
- CoreWeave's Cost-Effective and Scalable Pricing:
CoreWeave provides a highly customizable and cost-effective pricing model with a broad range of NVIDIA GPUs. Prices start at $0.24 per hour for the Quadro RTX 4000 and go up to $4.76 per hour for the H100 HGX. CoreWeave supports both on-demand and reserved instances, offering flexibility and scalability for AI training, deep learning, and high-performance computing.
- Nebius AI's Advantage:
Nebius AI excels with its competitive and flexible pricing, ideal for users needing extensive computational power with potential long-term savings. Their advanced infrastructure and high-performance GPUs make it suitable for large-scale AI and ML projects.
- CoreWeave's Strength:
CoreWeave stands out with its detailed and predictable pricing structure, making it a top choice for users needing consistent, high-performance computing resources. The lack of data transfer fees enhances its appeal for large-scale AI and machine learning projects.
Decentralized computing for AGI.
Decentralized computing unlocks AGI potential by leveraging underutilized GPU resources for scalable, cost-effective, and accessible research.
