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Vultr H100 | Setup Guide

by | May 18, 2024

Let’s see how to use Vultr NVIDIA H100 GPUs in this latest blog. Bobcares, as a part of our Vultr Managed Service offers solutions to every query that comes our way.

More on Vultr NVIDIA H100 GPUs

Vultr provides NVIDIA H100 Tensor Core GPUs based on the Hopper design, which are designed to support the world’s most advanced AI, data analytics, and HPC apps. These GPUs are available for reserve on Vultr’s cloud infrastructure, providing exceptional acceleration for large-scale business challenges.

vultr h100

The Vultr NVIDIA H100 Tensor Core GPU has fourth-generation Tensor Cores and a Transformer Engine with FP8 precision, resulting in up to 30x quicker performance than prior versions. Vultr’s devotion to offering cutting-edge cloud infrastructure while achieving environmental, social, and corporate governance objectives is evident in their expansion at Sabey Data Centers, which is known for its energy-efficient design and commitment to sustainability.

Steps to Use Vultr’s NVIDIA H100 GPUs

1. Initially, start a Vultr account.

2. Then, log into the account.

3. Go to the Products page. Select on Deploy New Instance.

4. Select the Cloud Compute option.

5. Select a data center location where the NVIDIA H100 GPUs are available.

6. Under the Server Type section, choose Cloud GPU.

7. Select the NVIDIA H100 GPU option from the list of available GPUs.

8. Choose the instance plan that suits the needs, including the number of GPU cores, memory, and storage.

9. Then, select an OS for the instance.

10. Set up extra features such as backups, IPv6, and DDoS protection if needed.

11. Recheck the config and click Deploy Now to create the instance.

12. Once the instance is deployed, access it via SSH using the provided IP address and details.

13. Set up necessary drivers and software for the NVIDIA H100 GPUs. Vultr typically provides guides on how to install CUDA drivers and other essential tools.

14. Use the GPUs for the AI and ML tasks. We can run applications like TensorFlow, PyTorch, or other machine learning frameworks that support NVIDIA GPUs.

[Need to know more? Get in touch with us if you have any further inquiries.]

Conclusion

To sum up, our Support team went over the details of Vultr’s NVIDIA H100 GPUs.

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