How much does a cloud instance with an NVIDIA H100 GPU cost?

​In the rapidly evolving landscape of artificial intelligence and high-performance computing, the demand for powerful GPUs like NVIDIA's H100 has surged. These GPUs are essential for training large language models, conducting complex simulations, and handling intensive data analytics. However, acquiring and maintaining such advanced hardware can be a significant investment. This has led many organizations to explore cloud-based solutions, offering flexibility and scalability without the hefty upfront costs.

As of 2025, the NVIDIA H100 GPU stands at the forefront of AI and HPC applications, renowned for its exceptional performance and efficiency. The H100's architecture is designed to accelerate a wide range of workloads, from deep learning to scientific computing. However, the financial implications of integrating H100 GPUs into existing infrastructure prompt a critical question: How much does a cloud instance with an NVIDIA H100 GPU cost?

Understanding Cloud-Based H100 GPU Instances

Cloud service providers have recognized the growing need for accessible high-performance computing resources and now offer NVIDIA H100 GPUs as part of their infrastructure-as-a-service (IaaS) portfolios. These cloud instances allow users to leverage the power of H100 GPUs on-demand, eliminating the need for substantial capital expenditures on physical hardware.

Factors Influencing the Cost

Several variables influence the pricing of cloud instances equipped with NVIDIA H100 GPUs:

Provider Pricing Models: Different cloud service providers have varying pricing structures, which can include on-demand rates, reserved instances, and spot pricing.​

Instance Configuration: The cost is affected by the specific configuration of the instance, including the number of GPUs, CPU resources, memory allocation, and storage requirements.​

Geographical Location: Data center locations can impact pricing due to regional operational costs and demand variations.​

Usage Duration: Long-term commitments or reserved instances often come with discounted rates compared to pay-as-you-go models.​

Current Pricing Overview

As of early 2025, the following cloud service providers offer NVIDIA H100 GPU instances with their respective pricing:

Lambda Labs: Offers on-demand access to H100 GPUs at approximately $1.99 per GPU per hour. ​

CoreWeave: Provides H100 GPU instances starting at $4.25 per GPU per hour, with potential discounts for reserved instances. ​

Atlas Cloud: Features on-demand H100 GPU instances at $2.48 per hour, with further reductions for longer-term commitments.

E2E Cloud: Caters to the Indian market, offering 4xH100 GPU configurations at ₹1,000 per hour. 

It's important to note that these prices are subject to change based on market dynamics, provider policies, and resource availability. Additionally, the total cost of ownership should consider data transfer fees, storage costs, and any additional services utilized.​

Conclusion

Leveraging cloud instances with NVIDIA H100 GPUs presents a flexible and scalable solution for organizations requiring advanced computational capabilities without the substantial investment in physical hardware. By understanding the various factors influencing costs and staying informed about current pricing from reputable cloud service providers, businesses can make strategic decisions that align with their technical requirements and budgetary constraints.​

As the AI and HPC fields continue to advance, it is anticipated that cloud offerings will evolve, potentially leading to more competitive pricing and diverse service options. Staying abreast of these developments will enable organizations to optimize their operations effectively.