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In this episode of Advanced Insights, AMD CTO Mark Papermaster sits down with Anush Elangovan, CVP of AI Software at AMD, to discuss how the company is building an open, developer-first AI software ecosystem. They unpack the journey behind ROCm 7, performance breakthroughs, expanded model support, and why open source innovation is critical for energy-efficient, scalable AI infrastructure. From hyperscaler deployments to enabling inference across cloud and edge, learn how AMD is shaping a more open and accessible AI future.
00:00 Advanced Insights Overview
00:45 Introduction & Welcome, Anush
01:06 Early Open Source Work with Chrome
03:23 AMD’s Hardware Stack: ROCm
04:24 Making ROCm Accessible and Seamless to Deploy
06:23 The ROCm Journey
08:04 An Agentic Approach to Documentation
09:15 Accelerating Software Development with AI
11:32 Expanding the AMD Developer Cloud and CI/CD Pipeline
13:25 Positive Response to AMD Developer Cloud
14:23 Optimizing Solutions at the Rack Level
16:44 Continuous Pursuit of Excellence
18:44 AMD’s Commitment to Open in Ecosystem Support
20:05 ROCm + Ecosystem: Tools for Developers to Move Fast
22:02 AI From Data Center to Workstation
25:51 What’s Coming in the Next 2-3 Years?
27:59 Leveraging AI to Augment—Not Replace—Our Work
29:50 Thank You, Anush
30:13 Takeaways
30:45 Where to Watch and Closing
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