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NVIDIA H100 Rental

With vMind NVIDIA H100 Rental, you access a Hopper-architecture data center GPU on a pay-as-you-go basis. With 80 GB HBM3 memory, 3.35 TB/s bandwidth and Transformer Engine support, the H100 delivers a significant speedup in large language model training over the previous generation. It scales up to 8 GPUs on a single node and up to 64 GPUs in a multi-node cluster. The GPUs run in vMind's Istanbul-based data centers, and your data does not leave Türkiye.

What Is the NVIDIA H100?

The NVIDIA H100 is a data-center-class graphics processing unit built on the Hopper architecture. It is designed for large language model training with 80 GB HBM3 memory and a Transformer Engine unit. The Transformer Engine delivers a performance gain by dynamically adjusting the computational precision used in model training.

With vMind, you can rent the H100 on an hourly or monthly usage model without buying it. There is no wait for GPU procurement; the resource is brought online from the console in about 10 minutes on average. For a detailed comparison with the H200 and which one suits which workload: NVIDIA H100 vs H200: What Is the Difference? 

Why vMind NVIDIA H100: Advantages

Proven Performance in Large Model Training 


The NVIDIA H100 is the standard GPU for large-scale AI training. On vMind infrastructure, you can use it for as long as you need, without hardware investment. 

80 GB HBM3 Memory 80 GB HBM3 Memory
3.35 TB/s Bandwidth 3.35 TB/s Bandwidth
Transformer Engine Transformer Engine
Clusters of Up to 64 GPUs Clusters of Up to 64 GPUs
Istanbul Location Istanbul Location

Which Workloads Is the NVIDIA H100 Suitable For?

  • 1- Large language model training...
    Training transformer-architecture models from scratch or extensive fine-tuning.
  • 2-Multi-GPU distributed training...
    Parallel training workloads on clusters of up to 64 GPUs.
  • 3- Image and video model training...
    Image models working with high-resolution datasets.
  • 4- Scientific simulation...
    High-performance computing workloads in engineering and research.
  • 5- Mid-scale inference...
    Serving models whose memory requirement stays under 80 GB in a production environment.

You can bring your NVIDIA H100 resource online today. Share your workload, and we will prepare a custom quote by GPU quantity and duration.

Knowledge Center

You can find answers to frequently asked questions about NVIDIA H100 Rental in the Knowledge Center.

To go to the Knowledge Center, click here. 

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