Optimizing Linux for AI
English | Tutorial | Size: 1.74 GB
Hosting GenAI on premises is imperative if you want to use AI capabilities to work with your private data. Linux is the most effective operating system to host Generative AI solutions on- prem. This flexible operating system has all the tools that allow for optimal tuning to get the best possible performance for all key hardware components involved in AI.
This 3-hour course introduces best practices for optimizing Linux for AI. You’ll learn how to install and configure the right drivers for your hardware, analyze current performance, and optimize the Linux kernel to get the best possible performance for managing the LLM lifecycle on Linux.
What you’ll learn and how you can apply it
Linux kernel tunables for AI optimization
The role and benefits of using the right driver
Open-source and proprietary Linux tools and when to use them for specific tasks
How to analyze current Linux performance while managing the AI lifecycle
This live event is for you because…
You are a Linux Administrator and need to get the best possible performance out of your Linux system
You are a data scientist who wants to secure your GenAI system by hosting it on premises
You are a developer who wants to tweak drivers for handling AI workloads for better performance
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