NVIDIA H200 Price Guide-Costs, Specs, and 2025 Updates

The NVIDIA H200 GPU, a leading-edge accelerator designed for AI, HPC, and large language model tasks, is priced between $30,000 and $40,000 per unit as of 2025. For multi-GPU boards, prices range significantly higher: 4-GPU boards cost around $175,000, while 8-GPU configurations can exceed $300,000. Renting options are commonly available, with hourly rental rates from $3.72 to $10.60 per GPU hour, depending on the cloud provider and configuration. The H200 offers major improvements over its predecessor, the H100, including larger memory (141 GB HBM3e vs 80 GB), higher bandwidth (4.8 TB/s vs 3.35 TB/s), and up to 45% better performance on AI models, making it a compelling choice for high-demand workloads.

NVIDIA H200: Overview and Specs

The NVIDIA H200 GPU is part of NVIDIA’s Hopper architecture family, optimized for demanding AI, HPC, and LLM workloads. Its key features include:

Memory: 141 GB HBM3e, nearly double the H100’s 80 GB HBM3

Memory Bandwidth: 4.8 TB/s, a 43% increase over H100’s 3.35 TB/s

CUDA Cores: 2048

Power Consumption: Approximately 700W TDP

Performance Gains: Up to 45% faster inference for large language models such as Llama 2 70B and significant efficiency improvements in HPC applications

Energy Efficiency: Maintains performance with about 50% less energy per inference, lowering total cost of ownership over time.

Pricing Details in 2025: Purchase vs Rental

The price of NVIDIA H200 GPUs varies based on purchase, configuration, and rental options:

Purchase Price:

Single GPUs cost between $30,000 and $40,000 (MSRP varies by vendor and bulk orders).

4-GPU boards cost around $175,000; 8-GPU boards exceed $300,000, often going beyond $400,000 with server and infrastructure included.

Rental Price:

Cloud hourly rental rates typically range from $3.72 to $10.60 per GPU hour.

Some cloud providers, such as Jarvislabs, offer single H200 GPU rental at $3.80/hr, ideal for prototyping.

Larger cloud providers like AWS, Azure, Oracle, and Google Cloud generally bundle H200s in 8-GPU server instances priced around $80 to $85 per hour for the full node.

Cost Comparison Table (Approximate)

Comparison with NVIDIA H100 and Other GPUs

Compared to the NVIDIA H100, the H200 commands a premium of approximately 30-50% in price, justified by advancements such as:

Memory: 141 GB HBM3e (H200) vs. 80 GB HBM3 (H100)

Bandwidth: 4.8 TB/s (H200) vs. 3.35 TB/s (H100)

Performance: Up to 45% faster on AI models and almost 2× inference speed for large language models

Energy efficiency: H200 delivers improved computation per watt, offsetting higher upfront costs with long-term savings.
In comparison to competitors like AMD Instinct MI250X and Intel Xeon GPUs, the H200 offers substantial memory and bandwidth advantages tailored for modern AI workloads.

Cloud Rental Pricing and Providers

The H200 is available predominantly through cloud and GPU rental providers, offering flexible access without prohibitive capital investment. Popular options include:

Jarvislabs: Offers single H200 rentals at $3.80/hr, making it accessible for small-scale and experimental use.

AWS, Azure, Oracle: Offer 8-GPU H200 server nodes at around $80-$85 per hour.

Google Cloud: Spot pricing available; on-demand pricing pending.

Other providers: Lambda Cloud, CoreWeave, RunPod, with varying pricing and billing models (minute-based, pay-as-you-go).
These cloud options enable enterprises and developers to scale AI workloads dynamically while controlling operational expenses.

Use Cases and Performance Benefits

The significant performance and memory enhancements in the H200 open up distinct advantages:

Efficient handling of large language models exceeding 70 billion parameters on a single GPU

Accelerated training and inference workflows for generative AI, scientific simulations, and HPC applications

Reduced energy consumption lowers operational costs, critical for 24/7 intensive AI tasks

Ideal for enterprises balancing high-demand AI workloads with cost-effective cloud deployment or hybrid architectures.

Considerations for Deployment with Cyfuture Cloud

When planning to deploy NVIDIA H200-powered AI workloads, Cyfuture Cloud provides tailored GPU hosting and cloud infrastructure solutions:

Flexible GPU hosting: Access bare-metal GPU servers or cloud-first scalable environments optimized for H200 workloads.

Cost-effective cloud GPU rentals: Get competitive pricing on NVIDIA H200 GPUs for bursts or full-scale AI deployments without upfront hardware investment.

Hybrid cloud strategies: Utilize on-prem setups combined with cloud bursting for elastic, efficient AI compute.

Expert support: Assistance in architecting, scaling, and optimizing AI infrastructure to maximize performance and cost-efficiency.
Cyfuture Cloud is well positioned to support businesses in harnessing the full power of the NVIDIA H200 GPU with both rental and purchase options.

Conclusion

The NVIDIA H200 GPU represents a major leap forward in AI and HPC performance, with cutting-edge specs and enhanced energy efficiency justifying its premium pricing in 2025. Whether purchasing high-density multi-GPU boards or renting cloud instances, users gain access to unprecedented memory capacity and bandwidth, making the H200 ideal for complex AI models and data-intensive tasks. With costs ranging from $30,000 for single units to over $300,000 for multi-GPU boards, strategic cloud rental solutions like those offered by Cyfuture Cloud provide an accessible and scalable path to leverage this powerful technology efficiently.