AMD
amd-7b26a6cb·8 events·first seen 28d agoAliases: AMD
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AMD and OpenAI Announce Strategic Partnership to Deploy 6 Gigawatts of AMD GPUs
AMD and OpenAI have entered a multi-year strategic partnership to deploy 6 gigawatts of AMD Instinct GPUs for OpenAI's AI infrastructure, with 1 gigawatt planned for 2026. The deal represents a significant diversification of OpenAI's compute supply beyond its existing NVIDIA dependency. This is one of the largest publicly announced GPU deployment commitments in the industry.
AMD + Hugging Face: Large Language Models Out-of-the-Box Acceleration with AMD GPU
Hugging Face and AMD announced integration work enabling out-of-the-box LLM acceleration on AMD GPUs via the Optimum library. The collaboration targets ROCm-based AMD hardware, aiming to reduce friction for users running inference on non-NVIDIA GPU stacks. This represents a continued push to broaden the hardware ecosystem available to open-weights model users.
Hugging Face and AMD Partner to Accelerate Models on CPU and GPU Platforms
Hugging Face and AMD announced a partnership aimed at optimizing and accelerating state-of-the-art AI models across AMD's CPU and GPU hardware platforms. The collaboration targets improved performance for models hosted and distributed through Hugging Face's ecosystem. This represents a strategic move to broaden hardware support beyond NVIDIA-dominated infrastructure in the AI/ML deployment landscape.
Hugging Face on AMD Instinct MI300 GPU
Hugging Face announces support and optimization for AMD Instinct MI300 GPUs, expanding the ecosystem of hardware that can run Hugging Face models and tools. The post covers integration work enabling inference and training workloads on AMD's high-memory GPU accelerator. This represents a meaningful step in diversifying AI infrastructure beyond NVIDIA dominance.
Creating Custom Kernels for the AMD MI300
A Hugging Face blog post details the process of writing custom GPU kernels targeting the AMD MI300 accelerator. The post covers practical techniques for optimizing AI workloads on AMD hardware, contributing to the growing ecosystem of non-NVIDIA GPU support for ML inference and training. This is relevant to the broader trend of diversifying AI infrastructure beyond CUDA-dominant workflows.
Run a ChatGPT-like Chatbot on a Single GPU with ROCm
Hugging Face published a guide demonstrating how to run a large language model chatbot on a single AMD GPU using ROCm, AMD's open-source GPU compute stack. The post covers setup, model loading, and inference on AMD hardware as an alternative to NVIDIA CUDA-based workflows. This is relevant to the growing interest in democratizing LLM inference beyond NVIDIA's ecosystem.
Easily Build and Share ROCm Kernels with Hugging Face
Hugging Face has published a guide and tooling for building and sharing custom ROCm kernels on its platform, targeting AMD GPU users in the ML ecosystem. The post covers the workflow for packaging, uploading, and reusing ROCm-based GPGPU kernels via the Hub. This lowers the barrier for AMD GPU kernel development and sharing, complementing the existing CUDA-centric kernel ecosystem. The initiative is relevant to inference optimization and the broader push to diversify GPU hardware support in AI workloads.
DeepSeek withholds DeepSeek-V4 pre-release access from Nvidia and AMD, shares with Huawei
DeepSeek has given Huawei several weeks of pre-release access to its upcoming DeepSeek-V4 model for hardware optimization, while denying the same access to Nvidia and AMD — a departure from prior practice. Reuters also reported that an unnamed Trump administration official claims DeepSeek-V4 was trained on Nvidia's most advanced chips despite U.S. export controls, though the sourcing is unverified. The move signals deepening geopolitical fragmentation in AI supply chains and aligns with China's push for domestic chip self-sufficiency. DeepSeek-V4 has not yet been publicly released.