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