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AI agents running fully on local devices? Yes, really. Join @Stanford researchers @JonSaadFalcon and @Avanika15 for a look at OpenJarvis, an open-source framework pushing personal AI forward with local-first performance and efficiency. Plus, hear from @UCLA’s Jason Cong, a pioneer in domain-specific computing and AI systems research! The Developer Track at Advancing AI is stacked with sessions built for developers. Don’t miss it. Register now: amd.com/en/corporate/events/… #AdvancingAI #AMDevs
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paulmooney retweeted
The ultimate local AI developer platform is here. AMD Ryzen AI Halo presale is now live! Built for #AMDevs, Ryzen AI Halo delivers the performance, memory, and AI capabilities needed to build, test, and run agentic AI, generative AI, LLM applications, and more locally. Reserve yours now: amd.com/en/products/processo…
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What's on your must-see list for Advancing AI? Now's your chance to explore the sessions, discover featured speakers, and find the topics most relevant to your work. Whether you're focused on performance, deployment, tooling, or the future of AI systems, you'll find plenty to add to your agenda. Start planning your experience for July 22-23 in San Francisco: amd.com/en/corporate/events/… #AdvancingAI #AMDevs
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The wait is almost over! ✨ #AdvancingAI #AMDevs
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SGLang is helping redefine what's possible in AI inference. Join @ying11231, Co-founder & CEO of @RadixArk and Co-creator of @sgl_project, at Advancing AI. As one of the fastest-growing open-source projects in AI infrastructure, SGLang is helping developers push performance, efficiency, and scalability for modern LLM deployments. Hear directly from the people building the technology powering the next generation of AI applications. 📅 July 22-23, 2026 📍 San Francisco Register now: amd.com/en/corporate/events/…? #AMDevs #AdvancingAI
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If you care about @PyTorch, @vllm_project, @sgl_project, and the systems that make inference fly, you’ll want to see this lineup. Our first featured speakers for Advancing AI 2026 (Developer Track) are live: 🔹@matthew_d_white (@linuxfoundation / PyTorch Foundation) 🔹@ying11231 (@RadixArk / SGLang) 🔹@simon_mo_ (@Inferact / vLLM) More speakers and hands-on sessions will be announced soon. 📆 July 22–23, 2026 📍 San Francisco Register Now: amd.com/en/corporate/events/… #AdvancingAI #AMDevs
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Standing room only for today's AMD @ Greens labs at @Microsoft Build 👀 Developers are getting hands-on with OpenClaw agents, video generation, reinforcement learning, and local AI workflows. If you're at Build, stop by and join us for more workshops tomorrow. #MSBuild #AMDevs
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We’re heading to @Microsoft Build 👀 Join us for hands-on labs, demos, and sessions with the team ↓ #MSBuild #AMDevs
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What do people misunderstand about AI right now? We asked #AMDevs to weigh in.
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Local AI is changing how developers build and deploy intelligent systems. @jackhuynh shares how the new AMD Ryzen AI Halo is helping redefine what #AMDevs can build and run locally. 👇
✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • @AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B parameter models locally, run massive models locally We’re excited to partner with @ClementDelangue🤗, Co-founder and CEO of @huggingface, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀
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Lo-fi. EDM. Movie soundtracks. White noise. This is what #AMDevs listen to when they need to lock in. What's in your headphones when you need to reach flow state?
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Great AI starts with deeper understanding. Through the partnership between AMD and @DeepLearningAI, @realSharonZhou helps developers and engineers connect transformer fundamentals to real-world AI decisions in this newly launched course. #ExperienceOpen #AMDevs
Slow inference. Hallucinations. Costs that don't scale. The parts of LLMs you can't see are the parts that bite you. Build the intuition to debug them, in our new course with @RealSharonZhou and @AMD: Transformers in Practice. Enroll here: hubs.la/Q04g8KSv0
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