Current Price of the NVIDIA H100 GPU (2025)

Introduction

The NVIDIA H100 Tensor Core GPU, built on the Hopper architecture, remains a cornerstone in high-performance computing, particularly for AI, machine learning, and data analytics workloads. As of mid-2025, the pricing of the H100 varies based on factors such as model type, purchasing method, and regional market conditions.

1. Direct Purchase Pricing

For organizations seeking to integrate H100 GPUs into their infrastructure, direct purchase options are available. The pricing typically ranges as follows:

• Standard PCIe Version: Approximately $25,000 to $35,000 per unit.
  
  

• SXM Version (for enterprise-grade servers): Around $30,000 to $40,000 per unit. 

Bulk purchases or enterprise agreements may offer discounts, but the H100 remains a premium product targeted at high-performance computing applications. 

2. Cloud Rental Pricing

For businesses preferring a pay-as-you-go model, several cloud providers offer NVIDIA H100 GPUs on an hourly rental basis. As of May 2025, the pricing varies across providers:

• AWS: $12.29 per hour for an 8-GPU instance.
  
  

• Azure: $6.98 per hour for a single H100 GPU VM.
  
  

• Google Cloud: $11.06 per hour for a single H100 GPU.
  
  

• Lambda Labs: $2.99 per hour for an 8-GPU instance.
  
  

• RunPod: $1.99 per hour for a single H100 GPU.
  
  

• Vast.ai: $2.07 per hour for a single H100 GPU
  
  

These rates are for on-demand usage and may vary based on region, instance type, and specific configurations.

3. Resale Market Pricing

In the resale market, prices can fluctuate based on demand and availability:

• Brand New Units: Prices range from $20,599 to $35,000, depending on the seller and region.
  
  

• Pre-Owned Units: Available from approximately $13,487.
  
  

It's important to verify the authenticity and condition of units purchased through resale channels.

4. Enterprise Solutions

For large-scale deployments, NVIDIA offers integrated solutions:

• NVIDIA DGX H100 Systems: These systems, equipped with multiple H100 GPUs, are tailored for enterprise AI workloads.
  
  

• NVIDIA HGX H100 Baseboard: Designed for AI and mining workloads, this baseboard can cost up to $215,000, depending on configuration.
  
  

These solutions provide optimized performance and scalability for demanding applications.

5. Factors Influencing Pricing

Several elements can impact the cost of the NVIDIA H100 GPU:

• Model Type: SXM versions are generally more expensive due to their enterprise-grade features.
  
  

• Purchase Volume: Bulk purchases may qualify for discounts.
  
  

• Regional Market Conditions: Supply and demand dynamics can cause price variations across different regions.
  
  

• Cloud Provider Pricing Models: On-demand, reserved, and spot pricing models offer flexibility but vary in cost.

6. Future Outlook

As AI and machine learning continue to drive demand for high-performance GPUs, the NVIDIA H100 remains a critical component in many data centers. While newer models like the H200 are emerging, the H100's performance and reliability ensure its continued relevance in the market.

Conclusion

The NVIDIA H100 GPU offers exceptional performance for AI and high-performance computing tasks. Whether opting for direct purchase, cloud rental, or enterprise solutions, understanding the pricing landscape is crucial for businesses to make informed decisions. Factors such as model type, purchase volume, and regional market conditions play significant roles in determining the overall cost.

For businesses in India, including those in Meerut, it's advisable to consult with local resellers or cloud providers to obtain accurate pricing and availability information tailored to the region.

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