AI at AMD
@AIatAMD
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Advancing AI innovation together. Built with devs, for devs. Supported through an open ecosystem. Powered by AMD. #TogetherWeAdvance
Joined November 2016
RT @EmadBarsoumPi: Proud of the team and outstanding work!!! Extending Instella family of models with text-to-image model trained from scr….
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Run local LLMs in minutes with Lemonade Server, no coding needed. Works with Open WebUI, Microsoft AI Dev Gallery, and more on AMD Ryzen AI laptops. Watch the demo 👇.
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RT @EmadBarsoumPi: Want to train text-to-image diffusion model from scratch in a less than a day? With deferred patch masking introduced by….
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We’re thrilled to collaborate with the @HazyResearch @StanfordAILab, led by Chris Ré, to power Minions, their cutting-edge agentic framework tackling the cost-accuracy tradeoff in modern AI systems. This innovation is enabled on AMD Ryzen AI, thanks to seamless integration with
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🚀 We’re excited to partner with @HuggingFace to launch a new section of their MCP Course: Local Tiny Agents with AMD NPU and iGPU Acceleration — powered by Lemonade Server 🍋 In this hands-on module, you’ll learn how to: .✅ Accelerate end-to-end Tiny
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When model architecture meets hardware fluency, magic happens.
The story of hybrid architectures is honestly fascinating! I've been diving deep into why Transformers became the default choice, and looking at new model architectures. It's not because "attention is all you need" (though catchy!) . It's because they exploited GPU parallelism so
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What does sovereign AI really mean, and why does it matter to you?.@kbsdigital breaks it down in this interview:
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Interested in what @youravgtechbro thinks is the single biggest advantage developers can have within this new age of AI? Listen in here. #TogetherWeAdvance
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FM2 (Liquid Foundation Model 2) from Liquid AI just dropped today with 3 model weights: 350M, 700M, 1.2B. LFM2 is specifically designed to provide the fastest on-device gen-AI experience across the industry. What's more is LFM2 has been optimized on AMD Ryzen AI day 0 and works.
Today, we release the 2nd generation of our Liquid foundation models, LFM2. LFM2 set the bar for quality, speed, and memory efficiency in on-device AI. Built for edge devices like phones, laptops, AI PCs, cars, wearables, satellites, and robots, LFM2 delivers the fastest
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It's a new era for LLM Inference Performance! Check out this blog to explore key improvements introduced in vLLM V1 for AMD GPUs, as well as the main benefits users can expect from migrating to this new version. 🔗
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🤗🙌🎯 Energy from this hackathon = unmatched. Love seeing teams building boldly!.
What a weekend in Paris’ AMD GPU Hackathon @ Station F!. Huge thanks to our incredible partners:.STATION F, Hugging Face, Roxanne VARZA, Meta and GPU mode. Big congrats to our winning teams; you crushed it!. #AIHackathon #StationF #AMD #HuggingFace #MetaAI #GPUMODE
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Technological independence is rapidly becoming a cornerstone of strategic autonomy for organizations, the public sector, and nations alike. As the global landscape evolves, the ability to develop and control advanced AI capabilities is essential for maintaining a competitive
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Vibe feedback. Vibe training. Vibe tuning. @realSharonZhou talked to @ConorBronsdon on the Chain of Thought podcast at #AdvancingAI about the fast evolution of AI UX. Listen to the discussion on Spotify, YouTube, or wherever you get your podcasts! 🎧
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Favorite film featuring AI? This is what we overheard at #AdvancingAI. Your turn! Drop your favorite AI movie in the comments 🍿🤖
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Two AI leaders. One powerful conversation moderated by @realSharonZhou. Watch Dr. @LisaSu and Dr. @AndrewYNg discuss the future of AI development, open ecosystems, and how accessibility is reshaping the stack, from silicon to software. See the full interview from
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Want faster LLM inference on AMD GPUs?. Learn how to use Quark FP8 quantization + vLLM for better throughput & less memory. Boost your AI apps with AMD ROCm!.🔗
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