Introduction to local AI models (with AMD's Anush Elangovan)

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The MonkCast

RedMonk

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Can't get enough of the Monks? Visit the RedMonk YouTube channel or check out our research at RedMonk.com.

You can also follow RedMonk on Bluesky, Twitter (X), and LinkedIn.

Meet RedMonk's Analysts

James Governor, Principal Analyst & Co-founder

@monkchips, LinkedIn, Blog

Stephen O'Grady, Principal Analyst & Co-founder

@sogrady, LinkedIn, Blog

Rachel Stephens, Research Director

@rstephensme, LinkedIn, Blog

Kate Holterhoff, Senior Industry Analyst

@KateHolterhoff, LinkedIn, Blog

Technology

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Introduction to local AI models (with AMD's Anush Elangovan)

The MonkCast

12 minutes 25 seconds

1 month ago

Introduction to local AI models (with AMD's Anush Elangovan)

James Governor sits down with Anush Elangovan, VP of AI at AMD, to dig into the fast-evolving world of local LLMs, edge hardware, and the future of AI-powered developer experience.

They cover:

Why local LLMs are exploding in adoption -Privacy, data sovereignty, and on-device intelligence
Running 120B-parameter models on AMD Strix Halo laptops
The software stack Anush uses: ROCm, Llama.cpp, Ollama, ComfyUI, PyTorch & more
How AMD is approaching AI-driven developer tools, coding agents, and predictive ops
The role of custom silicon, inference-optimized chips, and next-gen laptops
What ROCm actually is (and why developers should care)
If you're curious about the future of on-device AI, developer workflows, or AMD's AI strategy, this is a must-watch.

This podcast was sponsored by AMD.