
Whether you're deploying inference across multi-node clusters, training multi-billion parameter models or managing large GPU clusters, ROCm 6.4 software offers a seamless path to high performance with AMD Instinct GPUs.
This blog spotlights five key innovations in ROCm 6.4 that directly address common challenges faced by AI researchers, model developers, and infrastructure teams—making AI development fast, simple, and scalable.
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2024 was a transformative year for AMD Instinctâ„¢ accelerators. In the last 12 months we successfully delivered dozens of Instinct MI300X platforms to market across our cloud and OEM partners. We ramped numerous customers into volume production, including
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ROCm 6.3 marks a significant milestone for the AMD open-source platform, introducing advanced tools and optimizations to elevate AI, ML, and HPC workloads on AMD Instinct GPU accelerators. ROCm 6.3 is engineered to empower a wide range of customers—from innovative AI startups to HPC-driven industries—by enhancing developer productivity
This blog delves into the standout features of this release, including seamless SGLang integration for accelerated AI inferencing, a re-engineered FlashAttention-2 for optimized AI training and inference, the introduction of multi-node Fast Fourier Transform (FFT) to revolutionize HPC workflows and more. Explore these exciting updates and more as ROCm 6.3 continues to drive innovation across industries.
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AMD has just released the latest version of its open compute software, AMD ROCm™ 6.2.3 which supports Radeon GPUs on native Ubuntu® Linux® systems.
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Learn how open-source LLMs and AMD Radeonâ„¢ PRO GPUs can help small enterprises adopt AI
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Calling all AI enthusiasts, data scientists, developers, and high-performance computing professionals! The latest release of AMD ROCm 6.2 is here, packed with innovative enhancements designed to elevate your computational tasks.
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