What is the Price of NVIDIA H200 in India?

In the rapidly evolving world of artificial intelligence (AI) and high-performance computing (HPC), the demand for powerful GPUs has surged. The NVIDIA H200 Tensor Core GPU stands out as a significant advancement, offering enhanced performance and memory capabilities. As Indian enterprises and developers seek to harness this technology, understanding the pricing and availability of the NVIDIA H200 in India becomes crucial. Let's delve into the details.

NVIDIA H200 Overview

The NVIDIA H200 Tensor Core GPU is engineered to accelerate generative AI and HPC workloads. Key features include:

Memory: 141 GB of HBM3e memory.

Memory Bandwidth: 4.8 TB/s.

Performance: Up to 1.9x faster inference performance compared to its predecessor, the H100.

Power Efficiency: Designed to deliver higher performance within a similar power profile as the H100.

These specifications make the H200 an attractive choice for tasks requiring substantial computational power, such as training large language models and conducting complex simulations.

Pricing of NVIDIA H200 in India

Determining the exact price of the NVIDIA H200 in India involves several factors, including configuration, deployment model, and vendor. Here's a breakdown based on available information:

Hardware Purchase

For organizations considering direct hardware acquisition, the NVIDIA H200 is available in different configurations:

SXM Configuration: Typically comes in 4 or 8 GPU combinations integrated into custom-built boards. A 4-GPU SXM board is priced around $175,000, while an 8-GPU board ranges from $308,000 to $315,000. Converting these figures to Indian Rupees (INR) depends on current exchange rates and import duties.

NVL Configuration: Offers flexibility with 2-way or 4-way NVLink bridges connecting the GPUs. A single NVL GPU card with 141 GB memory is priced between $31,000 to $32,000. Custom server boards with multiple NVL GPUs can range from $100,000 to $350,000, depending on the configuration.

It's important to note that these prices are approximate and can very based on the vendor, import taxes, and other logistical considerations.

Cloud-Based Access

For organizations or individuals preferring not to invest in physical hardware, cloud-based access to NVIDIA H200 GPUs is a viable alternative. Several cloud providers offer H200 instances with varying pricing models:

ionstream.ai: Provides bare-metal access to 8x NVIDIA H200 GPUs at $30 per hour. This setup includes 192 CPUs, 1.5 TB RAM, and 30.4 TB of storage. Annual commitments can reduce the hourly rate significantly.

Runpod.io: Offers virtualized 8x H200 configurations at $31.92 per hour, featuring 192 vCPUs, 2 TB of RAM, and 40 GB of storage.

AWS: Provides virtualized instances with 8x H200 GPUs at $43.36 per hour. AWS offers various pricing models, including on-demand, reserved instances, and spot instances, each with different cost implications.

When opting for cloud-based solutions, it's essential to consider the total cost over time. For instance, running a 4-GPU setup continuously (24/7) at $3 per GPU per hour can accumulate to approximately $89,856 annually. Therefore, for long-term projects, purchasing hardware might be more cost-effective than relying solely on cloud services.

Conclusion

The NVIDIA H200 Tensor Core GPU represents a significant leap in computational capabilities, catering to the intensive demands of AI and HPC workloadsFor organizations and developers in India, evaluating the total cost of ownership, performance requirements, and project duration is essential when deciding between purchasing hardware or leveraging cloud-based solutions. As the landscape evolves, staying informed about the latest developments and offerings will be key to making strategic decisions in harnessing the power of NVIDIA H200 GPUs.