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Building The Future: AMD's Software Strategy for the AI Revolution

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Manage episode 488529581 series 3499431
Content provided by Evan Kirstel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Evan Kirstel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Interested in being a guest? Email us at [email protected]

The AI revolution demands a new approach to computing infrastructure, and AMD is positioning itself at the forefront of this transformation through an ambitious software strategy that empowers developers and enterprises alike.
In this illuminating conversation, Anush Elangovan—who joined AMD through the acquisition of his company NordI—shares how AMD is fundamentally rethinking its approach to software development. Rather than treating software as merely an enabler for hardware, AMD now views its software layer as a product with a 10-year lifecycle that transcends hardware generations. This philosophical shift is enabling developers to build with confidence on AMD platforms like ROCm, knowing their investments will be supported long-term.
Perhaps most striking is AMD's embrace of open source development. The company has moved to a model where both internal and external developers work from the same source code, allowing customers to modify core components just as AMD engineers can. This democratization has already yielded impressive results, with community contributors enhancing Windows support for ROCm faster than AMD might have accomplished internally. For enterprise customers, AMD is launching a Developer Cloud that offers free credits to try AMD GPUs with a seamless path from development to production.
Energy efficiency—increasingly critical as AI compute demands grow—represents another AMD advantage. Their innovative chiplet design for Instinct platforms provides granular control over power utilization, with features like CPX mode that can partition compute units and disable interconnects when not needed. Looking ahead, AMD anticipates inference workloads will dominate AI compute demands, and is designing both hardware and software to excel in this environment.
Explore these innovations and more at AMD's Advancing AI event on June 12th, featuring new hardware announcements, RocM 7, and the Developer Cloud launch. Connect with AMD's AI team on X @AIatAMD to join the conversation about the future of artificial intelligence.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

Chapters

1. Meeting AMD's AI Innovator (00:00:00)

2. AMD's Position in the AI Landscape (00:01:42)

3. Open Source Strategy with Rockham (00:04:12)

4. Hardware-Software Performance Optimization (00:06:35)

5. Developer Community and Enterprise Support (00:08:46)

6. Energy Efficiency and Future AI Trends (00:14:49)

7. Upcoming Advancing AI Event (00:19:59)

427 episodes

Artwork
iconShare
 
Manage episode 488529581 series 3499431
Content provided by Evan Kirstel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Evan Kirstel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Interested in being a guest? Email us at [email protected]

The AI revolution demands a new approach to computing infrastructure, and AMD is positioning itself at the forefront of this transformation through an ambitious software strategy that empowers developers and enterprises alike.
In this illuminating conversation, Anush Elangovan—who joined AMD through the acquisition of his company NordI—shares how AMD is fundamentally rethinking its approach to software development. Rather than treating software as merely an enabler for hardware, AMD now views its software layer as a product with a 10-year lifecycle that transcends hardware generations. This philosophical shift is enabling developers to build with confidence on AMD platforms like ROCm, knowing their investments will be supported long-term.
Perhaps most striking is AMD's embrace of open source development. The company has moved to a model where both internal and external developers work from the same source code, allowing customers to modify core components just as AMD engineers can. This democratization has already yielded impressive results, with community contributors enhancing Windows support for ROCm faster than AMD might have accomplished internally. For enterprise customers, AMD is launching a Developer Cloud that offers free credits to try AMD GPUs with a seamless path from development to production.
Energy efficiency—increasingly critical as AI compute demands grow—represents another AMD advantage. Their innovative chiplet design for Instinct platforms provides granular control over power utilization, with features like CPX mode that can partition compute units and disable interconnects when not needed. Looking ahead, AMD anticipates inference workloads will dominate AI compute demands, and is designing both hardware and software to excel in this environment.
Explore these innovations and more at AMD's Advancing AI event on June 12th, featuring new hardware announcements, RocM 7, and the Developer Cloud launch. Connect with AMD's AI team on X @AIatAMD to join the conversation about the future of artificial intelligence.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

Chapters

1. Meeting AMD's AI Innovator (00:00:00)

2. AMD's Position in the AI Landscape (00:01:42)

3. Open Source Strategy with Rockham (00:04:12)

4. Hardware-Software Performance Optimization (00:06:35)

5. Developer Community and Enterprise Support (00:08:46)

6. Energy Efficiency and Future AI Trends (00:14:49)

7. Upcoming Advancing AI Event (00:19:59)

427 episodes

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