https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/tensorflow-install.html
TensorFlow on ROCm installation — ROCm installation (Linux)
Install TensorFlow on ROCm
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Deploy and Customize AMD Solution Blueprints — ROCm Blogs
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https://rocm.blogs.amd.com/artificial-intelligence/qwen-vl/README.html
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Explore how to optimize Qwen-VL for production on AMD Instinct MI308X GPUs with ROCm, from vision module architecture to kernel fusion and deployment.
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https://rocm.blogs.amd.com/artificial-intelligence/kimi-k2.5-optimize/README.html
Accelerating Kimi-K2.5 on AMD Instinct™ MI300X: Optimizing Fused MoE with FlyDSL — ROCm Blogs
Optimize Kimi-K2.5 on AMD MI300X using FlyDSL for fused MoE kernel acceleration. Achieve faster TTFT, TPOT, and throughput with our step-by-step optimization...
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https://rocm.blogs.amd.com/artificial-intelligence/hipblaslt-tensilelite-tuning/README.html
Customizing Kernels with hipBLASLt TensileLite GEMM Tuning - Advanced User Guide — ROCm Blogs
Master hipBLASLt TensileLite Tuning. Learn to build custom kernels that deliver 150%-250% faster GEMM performance on AMD Instinct™ MI300X GPUs
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https://rocm.docs.amd.com/en/latest/
AMD ROCm documentation — ROCm Documentation
Start building for HPC and AI with the performance-first AMD ROCm software stack. Explore how-to guides and reference docs.
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https://rocm.blogs.amd.com/artificial-intelligence/hipblaslt_online_tuning/README.html
hipBLASLt Online GEMM Tuning — ROCm Blogs
Learn how to improve model performance with hipBLASLt online tuning merged into LLM framework
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https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html
System requirements (Linux) — ROCm installation (Linux)
System requirements for AMD ROCm
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https://rocm.blogs.amd.com/software-tools-optimization/flydsl-nightly-wheel/README.html
Getting Started with FlyDSL Nightly Wheels on ROCm — ROCm Blogs
A practical guide to installing and using FlyDSL nightly wheels on ROCm for fast, Python-native GPU kernel development
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https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/benchmark-docker/vllm.html
vLLM inference — ROCm Documentation
Learn how to validate LLM inference performance on MI300X GPUs using AMD MAD and the ROCm vLLM Docker image.
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https://www.amd.com/en/products/software/rocm/ai.html
ROCm for AI
AMD ROCm™ software empowers developers to optimize AI applications on AMD GPUs.
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AI のための ROCm
AMD ROCm™ ソフトウェアは、開発者が AI アプリケーションを AMD GPU 上で最適化できるようにします。
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https://rocm.docs.amd.com/projects/install-on-linux/en/develop/install/3rd-party/pytorch-install.html
PyTorch on ROCm installation — ROCm installation (Linux)
Install PyTorch on ROCm
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https://rocm.blogs.amd.com/artificial-intelligence/mlperf-inference-v6.0/README.html
AMD Instinct™ GPUs MLPerf Inference v6.0 Submission — ROCm Blogs
In this blog, we share the technical details of how we accomplish the results in our MLPerf Inference v6.0 submission.
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https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/megatron-lm.html
Training a model with Megatron-LM on ROCm — ROCm Documentation
How to train a model using Megatron-LM for ROCm.
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Arch Linux - python-onnxruntime-rocm 1.24.4-4 (x86_64)
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Use ROCm on Radeon and Ryzen — Use ROCm on Radeon and Ryzen
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https://archlinux.org/packages/extra/x86_64/python-pytorch-opt-rocm/
Arch Linux - python-pytorch-opt-rocm 2.11.0-3 (x86_64)
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Parabola GNU/Linux-libre - rocm-opencl-runtime 7.2.2-1 (x86_64)
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https://www.amd.com/en/products/software/rocm.html
ROCm Software
AMD ROCm™ software empowers developers to optimize AI and HPC workloads on AMD GPUs.
rocmsoftware
https://archlinux.org/packages/extra/x86_64/python-pytorch-rocm/
Arch Linux - python-pytorch-rocm 2.11.0-3 (x86_64)
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https://archlinux.org/packages/extra/x86_64/python-onnxruntime-opt-rocm/
Arch Linux - python-onnxruntime-opt-rocm 1.24.4-4 (x86_64)
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https://www.amd.com/ko/products/software/rocm/ai.html
AI를 위한 ROCm
AMD ROCm™ 소프트웨어는 개발자들이 AMD GPU에서 AI 애플리케이션을 최적화할 수 있도록 지원합니다.
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https://rocm.blogs.amd.com/software-tools-optimization/profilers/README.html
Introduction to profiling tools for AMD hardware — ROCm Blogs
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