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Build and ship nightly. External developers can make changes just as easily as an AMD engineer can. Anush Elangovan, AMD VP of AI Software, explains why ROCm is "true openness" on Chain of Thought podcast. Listen on Spotify or wherever you subscribe to podcasts.

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AI at AMD

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29,729 görüntüleme • 1 yıl önce •via X (Twitter)

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Advanced Insights: Season 2 Rewind “It’s like working in an Emergency Room.” ─ Anush Elangovan Anush Elangovan joins Mark Papermaster on Advanced Insights to talk about the future of open AI ecosystems and how ROCm is empowering developers everywhere. Watch the clip 👇and see the full episode
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Advanced Insights: Season 2 Rewind “It’s like working in an Emergency Room.” ─ Anush Elangovan Anush Elangovan joins Mark Papermaster on Advanced Insights to talk about the future of open AI ecosystems and how ROCm is empowering developers everywhere. Watch the clip 👇and see the full episode

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ROCm 7 is built for developers: open, accessible, and fast. Mark Papermaster and Anush Elangovan break down how the AMD open software stack for AI makes it easier for developers in the latest episode of Advanced Insights. Watch this clip 👇 and see the full episode:

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ROCm is gaining serious traction with developers 🔥 At AMD #AdvancingAI, Anush Elangovan broke down how an open ecosystem is accelerating ROCm’s momentum—and why that matters for developers everywhere. From Ryzen laptops to Instinct at scale, AMD is building a pervasive software story to match its pervasive hardware. Catch the full conversation here:

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ROCm on Windows? Yes, with WSL. AI developers can now run AMD ROCm on Windows, unlocking easier access to AMD GPUs for AI training, inference, and experimentation — no dual booting required. Get started with ComfyUI:
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📢 ATTN: AI Developers Are you ready to optimize, accelerate, and compete? Join the AMD Developer Challenge 2025: Inference Sprint. Push inference performance to the limit on the AMD ROCm software platform with cloud-based AMD MI300X. 🏆 $100K grand prize + $50K in additional cash prizes 💻 Register:
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📢 ATTN: AI Developers Are you ready to optimize, accelerate, and compete? Join the AMD Developer Challenge 2025: Inference Sprint. Push inference performance to the limit on the AMD ROCm software platform with cloud-based AMD MI300X. 🏆 $100K grand prize + $50K in additional cash prizes 💻 Register:

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How is an open ecosystem powering the next generation of AI for developers? Recording live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. Together they unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models. This relentless pace of hardware and software innovation is reshaping the AI landscape. Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications. 00:00 Live from AMD's Advancing AI 2025 Event 00:30 Introduction to Anush Elangovan 01:38 The MI350 GPU Series Unveiled 04:57 CDNA4 Architecture Explained 07:00 The Future of AI Infrastructure 08:32 AMD's Developer Cloud and ROCm 7 11:50 Cultural Shift at AMD 14:48 Open Source and Community Contributions 18:35 Software Longevity and Ecosystem Strategy 22:19 AI Agents and Performance Gains 27:36 AI's Role in Solving Power Challenges 28:11 Thanking Anush 28:42 Introduction to Sharon Zhou 29:45 Sharon's Focus at AMD 30:39 Engaging Developers with AMD's AI Tools 31:24 Listening to the AI Community 33:56 Open Source and AI Development 45:04 Future of AI and Self-Improving Models 48:04 Final Thoughts and Farewell
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No single vendor will win the AI race, but open ecosystems might. Real velocity in AI comes from interoperability, not lock-in. And AMD just made all of its software open source. At last week’s Advancing AI 2025, we sat down with AMD’s VP of AI Software Anush Elangovan and Sharon Zhou VP of AI at AMD, to discuss their case for why an open, multi-partner ecosystem will accelerate AI innovation faster than any proprietary alternative. AMD’s announcements last week double down on this OSS focus and their commitment to AI infrastructure, including: ✅ Open Source Ecosystem: ROCm 7, AMD’s latest open-source AI software stack, introduces kernel-level improvements for GEMM operations, optimized attention mechanisms, and expanded support for distributed inference. The update brings substantial speedups for inference workloads, with average performance increases of 3.2x to 3.8x ✅ Hardware: New MI355X GPU delivers up to 40% more tokens per dollar vs competition & the MI350 Series has seen a 35x generational leap in AI inference performance ✅ Infrastructure Investments: Oracle just committed to zettascale (‼️) clusters with up to 131,072 MI355X GPUs and AMD showcased their new $10 billion partnership with Saudi Arabian AI firm HUMAIN to build AI infrastructure, including data centers, powered by AMD chips. ✅ Partnership Momentum: 7 out of 10 top AI companies now run production workloads on AMD Instinct accelerators (including Meta, OpenAI, Microsoft & xAI) By inviting interoperability and contribution at every layer, AMD is enabling developers to build faster, optimize deeper, and deploy with flexibility. Listen to Anush and Sharon’s Chain of Thought Podcast episode with host Conor Bronsdon in the next tweet to get all the details and a deep dive into AMD’s strategy 👇

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