Running AI and ML workloads with the Cloud HPC Toolkit | C2C Community

Running AI and ML workloads with the Cloud HPC Toolkit

  • 13 November 2023
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Google Cloud HPC Toolkit is a collection of open-source tools and resources that simplify the process of creating and managing high-performance computing (HPC) environments for a variety of workloads, including HPC, AI, and machine learning. By leveraging existing blueprints or crafting your own in a straightforward YAML file, you can swiftly establish and deploy a fully functional cluster in a matter of minutes.

Google Cloud are announce the latest enhancements to Cloud HPC Toolkit, which now seamlessly support AI and machine learning applications on Google Cloud. Developed in collaboration with Google partner NVIDIA, this AI and machine learning blueprint is meticulously crafted to deliver optimal performance for your AI and machine learning requirements. The blueprints feature pre configured partitions that accommodate three distinct NVIDIA GPU VM types: G2, A2, and A3.

Furthermore, these systems can be built upon our Ubuntu Deep Learning VM Image and incorporate the latest NCCL Fast Socket optimizations. With the inclusion of powerful tools like the enroot container utility and the Pyxis plugin for Slurm Workload Manager, you can now effortlessly integrate with unprivileged containers and specify the container within a Slurm job. With just a few clicks, you can establish an HPC environment tailored to training your large language models (LLMs) on NVIDIA GPUs provisioned on Google Cloud.

You want to know how you can configure it, click on the link below:

HPC Toolkit Docs

If you want learn more you can check the latest blog link below :


Github Repository:

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