microsoft/superbenchmark

A validation and profiling tool for AI infrastructure

What it solves

SuperBench is designed to improve the reliability of cloud AI infrastructure by providing a proactive validation and profiling tool. It helps operators ensure that the underlying hardware and software stack is functioning correctly before deploying AI workloads.

How it works

While the README provides high-level descriptions, it focuses on the validation and profiling of AI infrastructure to identify issues proactively. It is distributed as a Docker image and integrated with tools like Ansible for integration testing.

Who it’s for

It is intended for AI infrastructure engineers and cloud providers who need to verify the reliability and performance of the hardware and software environments used to train and large-scale AI models.

Highlights

  • Proactive validation of AI infrastructure.
  • Profiling tools for AI hardware and software stacks.
  • Support for CPU and CUDA-based unit tests.
  • Distributed via Docker for easy deployment.

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