Reg.cloud Opens Self-Service NVIDIA H100 and RTX PRO 6000 GPUs

H100: training neural networks

The H100 is aimed at ML engineers and research teams that work with large datasets, fine-tune models and run computational experiments. The company cites examples such as building a computer vision system that spots manufacturing defects, or testing different neural network architectures.

H200: large LLMs and heavy inference

Compared with the H100, the H200 offers more video memory and higher memory bandwidth. That makes it a fit for running large language models and handling many parallel requests. One example given is a corporate AI assistant that answers employee queries at the same time. The H200 is currently available only by pre-order.

RTX PRO 6000 Blackwell: AI development and graphics

This accelerator is designed for running and fine-tuning AI models, as well as rendering complex 3D scenes, creating animation and processing video. The provider names AI developers, architecture firms, visualization studios and computer graphics specialists as its target users.

For teams that need GPU power without buying hardware, the split is fairly clear: H100 for training, H200 for large-scale inference, and RTX PRO 6000 Blackwell for mixed AI and graphics work. The company says details on specifications, available configurations and connection options are published on its website. The pre-order and notification options suggest that capacity for the most in-demand accelerators remains limited.