Nebius vs CoreWeave: Which GPU Cloud Service is Right for You?
Cloud GPUs are in huge demand, AI models, machine learning, and high-performance computing need so much processing power. Whether you’re training large AI models or running intense workloads, choosing the right GPU cloud provider can be the difference.
Nebius and CoreWeave are two of the main players in this space, both offering high-end NVIDIA GPUs and cloud-native infrastructure. But how do they compare in terms of performance, pricing, and features?
In this post, we’ll break down Nebius vs CoreWeave—GPU options, pricing, and overall value for AI workloads.
Table of Contents
Nebius vs CoreWeave: Key Points
- Choose Nebius if you need cost-effective H100 and H200 GPUs for AI model training with InfiniBand networking. It offers competitive pricing and a strong AI ecosystem.
- Choose CoreWeave for a broader selection of GPUs, especially if you need flexibility across AI, rendering, and virtual workstations. It provides real-time scaling and better availability.
- Nebius is ideal for large-scale AI workloads that require high-speed interconnects, while CoreWeave excels in diverse GPU applications with Kubernetes-native infrastructure.
- Avoid Nebius if you need a variety of GPU choices beyond high-end AI-focused models, and avoid CoreWeave if your priority is the absolute lowest cost for high-performance AI clusters.
GPU Model Comparison: Nebius vs CoreWeave
Available GPU Models
Both Nebius and CoreWeave offer a variety of NVIDIA GPUs designed for AI training, inference, and high-performance computing. However, there are key differences in the specific models, configurations, and pricing.
CoreWeave GPU Models & Pricing
CoreWeave provides a diverse selection of NVIDIA GPUs, ranging from budget-friendly models to high-end AI training units. Here’s a breakdown of their offerings:
| GPU Model | VRAM (GB) | Max vCPUs per GPU | Max RAM (GB) per GPU | Cost Per Hour |
|---|---|---|---|---|
| NVIDIA HGX H100 | 80 | 48 | 256 | $4.76 |
| NVIDIA H100 PCIe | 80 | 48 | 256 | $4.25 |
| A100 80GB NVLINK | 80 | 48 | 256 | $2.21 |
| A100 80GB PCIe | 80 | 48 | 256 | $2.21 |
| A100 40GB NVLINK | 40 | 48 | 256 | $2.06 |
| A100 40GB PCIe | 40 | 48 | 256 | $2.06 |
| A40 | 48 | 48 | 256 | $1.28 |
| RTX A6000 | 48 | 48 | 256 | $1.28 |
| RTX A5000 | 24 | 36 | 128 | $0.77 |
| RTX A4000 | 16 | 36 | 128 | $0.61 |
| Quadro RTX 5000 | 16 | 36 | 128 | $0.57 |
| Quadro RTX 4000 | 8 | 36 | 128 | $0.24 |
| Tesla V100 NVLINK | 16 | 36 | 128 | $0.80 |
Nebius GPU Models & Pricing
Nebius focuses on AI workloads with a smaller but highly specialized range of NVIDIA GPUs. Their models prioritize performance and cost-effectiveness for training and inference tasks.
| GPU Model | vRAM (GB) | RAM (GB) | vCPUs | On-Demand Price | Reserved Price |
| NVIDIA H200 SXM | 141 | 200 | 16 | $3.50 | $2.30 |
| 8 × H200 SXM | 1128 | 1600 | 128 | $28.00 | $18.40 |
| NVIDIA H100 SXM | 80 | 200 | 16 | $2.95 | $2.00 |
| 8 × H100 SXM | 640 | 1600 | 128 | $23.60 | $16.00 |
| NVIDIA L40S PCIe | 48 | 32 | 8 | $1.55 | $0.80 |
Performance & Use Cases
AI Training
CoreWeave has a cloud computing environment for AI development with many AI-focused GPUs, H100, A100, and A40. This flexibility is good for startups and large enterprises looking to scale their training. The infrastructure is designed for deep learning workloads with high availability and scalability, great for training models in industries like visual effects and autonomous vehicles.
On the other hand, Nebius Group specializes in large-scale AI training, leveraging H200 and H100 GPUs. The cloud platform is designed for high-speed processing with InfiniBand networking, which is crucial for handling complex deep-learning models. With competitive pricing and strong infrastructure, Nebius plans aim to attract new business ventures and additional businesses looking to optimize AI workflows. The provider also supports data labeling, an essential step in refining machine learning models.
Both providers are enterprise but CoreWeave is better for those that need GPU variety and flexibility, Nebius Group is for high-performance AI clusters. Companies in Latin America or with AI-driven business applications may find Nebius Group pricing and scalability very attractive. As Wall Street and other industries adopt AI, choosing the right provider depends on your training needs and budget.
Inference & Model Serving
CoreWeave and Nebius both offer great GPU options for AI inference and model serving but for different use cases in terms of cost, flexibility and scalability.
CoreWeave has cost-effective solutions with GPUs like RTX A5000 and A4000. These GPUs are good for inference workloads, balancing performance and price. The A5000 with 24GB of VRAM is perfect for running deep learning models that require high memory bandwidth, while the A4000 with 16GB of VRAM is a budget option for lighter inference tasks. CoreWeave’s infrastructure also supports auto-scaling so you can optimize costs by scaling GPU usage based on demand.
Nebius has the L40S GPU, a strong alternative for AI inference with competitive pricing. The L40S has 48GB of VRAM so it can handle complex AI models, including generative AI and real-time inference applications. It’s also integrated with Nebius’s high-speed cloud networking for fast model deployment with minimum latency.
When choosing between these, CoreWeave is a good choice for businesses that need cost-effective inference solutions with flexible GPU options. Nebius is good for those that need high-memory GPUs at competitive pricing for demanding AI inference workloads. It depends on workload size, budget, and performance requirements.
Scalability & Infrastructure
CoreWeave and Nebius have different approaches to scalability and infrastructure, each suited to workload needs.
CoreWeave is built on a Kubernetes native architecture which means on-demand scaling for AI, rendering, and high-performance computing workloads. This means efficient resource allocation so you can adjust your GPU usage as demand fluctuates. CoreWeave has data centers in North America so low latency for users in the region. CoreWeave also offers premium networking and storage so high-speed data transfers and optimized workload performance.
Nebius is a full-stack AI platform with managed services like MLflow for machine learning lifecycle management and PostgreSQL for database needs. So a great choice for businesses looking for an all-in-one AI infrastructure. Nebius uses InfiniBand networking with speeds of up to 3.2 Tbit/s per host so great for large-scale distributed AI workloads. Large GPU clusters so you can scale from a few GPUs to thousands, big AI training and inference tasks with minimal overhead.
For businesses that want Kubernetes-based scalability and regional availability, CoreWeave is a good choice. But if you need high-speed networking and managed AI services for large-scale machine learning Nebius is the way to go.
Pricing & Cost
Both CoreWeave and Nebius offer flexible pricing for different workloads and budgets. CoreWeave has lower entry-level costs so it’s a great option for businesses and individuals looking for on-demand GPU access. With pricing starting at $0.24/hour for entry-level GPUs like Quadro RTX 4000, CoreWeave lets you scale your AI and compute workloads without breaking the bank.
Nebius has more competitive pricing for users willing to commit to long-term reservations. With discounts for reservations from 3 months to 3 years, Nebius is great for enterprises and AI researchers with large-scale GPU needs. For example, reserving H100 with Nebius can save you a lot of money compared to on-demand pricing. Nebius includes managed services and a full-stack AI ecosystem which can reduce operational costs.
So CoreWeave is good for those who need immediate and cost-effective cloud GPUs and Nebius is good for those who prioritize long-term savings and integrated AI services.
Final Thoughts
Both CoreWeave and Nebius are great cloud GPU solutions for different types of users. CoreWeave is all about variety and flexibility, with many NVIDIA GPUs to choose from for all sorts of workloads, from AI training and inference to rendering and virtual workstations. Its Kubernetes-native infrastructure and transparent pricing make it perfect for businesses that need scalable, on-demand compute power.
Nebius is built for AI development and large-scale enterprise workloads. Its high-performance infrastructure with InfiniBand networking and large GPU clusters is designed for deep learning, inference, and big data processing. With long-term reservation discounts and extra-managed AI services, Nebius is great for businesses with ongoing high-intensity computing.
In the end, it comes down to your workload requirements, budget, and scalability goals. CoreWeave is for users who need flexibility and cost-effective on-demand GPUs, and Nebius is for AI-focused businesses that need specialized infrastructure and long-term savings.
