…world-model pipeline for robotics and autonomous driving, natively on AMD ROCm™. The work establishes DISI leading research group in stereo vision and depth estimation, CVLab, as the spatial AI node of…
…With vLLM support now spanning versions 0.15.0 through 0.18.0, developers building autonomous AI agents can stay on the latest vLLM releases while continuing to benefit from ZenDNN acceleration…
…Scaling Inference on AMD EPYC Learn how AMD EPYC turns underutilized CPU infrastructure into cost-effective, high-performance AI inference for the enterprise. This session covers deployment strategies, ZenDNN acceleration, Venice quantization…
…An Open-Source Project from AMD for Running Local LLMs on Ryzen™ AI Introducing Digest AI: A Model Ingestion and Analysis Tool Accelerate DeepSeek R1 Distilled Models Locally on AMD Ryzen™ AI…
…It is expected to represent one of the first “AI factory” supercomputers in the United States. See “ AMD Powers U.S. Sovereign AI Factory Supercomputers, Accelerating an Open American AI Stack. ” Alice…
…Its platform focuses on accelerating large-scale data processing and AI workloads while cutting cloud and energy costs, without requiring users to rewrite their code. AI Platforms & Tooling Celestial AI Celestial AI…
AMD Ryzen™ Processors for Desktops For incredible gaming, professional-grade productivity, and breakthrough AI experiences. Buy on AMD.com Find Retailers The Fastest Gaming Processor the World has Ever Seen AMD Ryzen…
…How AMD PACE Accelerates Inference Performance AMD PACE implements state-of-the-art inference serving and optimizes each layer of the LLM pipeline; from scheduling and KV cache management to attention and…
…This event is designed for AI and ML engineers, software developers, data scientists, researchers, and anyone interested in building or experimenting with GPU-accelerated AI using AMD hardware. Sessions are geared toward…
…AMD Ryzen PRO processors in HP business PCs and workstations include integrated AI acceleration capabilities that enable on-device inference for business applications. By processing AI workloads locally, organizations can reduce latency…