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Post-mortem GPU crash debugging with LLMs

Post-mortem GPU crash debugging with LLMs

The new AMD RGD MCP Server connects LLM agents to AMD's GPU crash analysis pipeline, turning a single prompt into root-cause analysis and source-code fix suggestions.
WMMA guide for AMD RDNA 4 architecture GPUs - part 3

WMMA guide for AMD RDNA 4 architecture GPUs - part 3

Learn how to implement fast in-register matrix transpose on AMD RDNA™ 4 architecture GPUs with a WMMA-based identity trick, delivering a lightweight, memory-free alternative proven in Llama.cpp.
WMMA guide for AMD RDNA 4 architecture GPUs - part 2

WMMA guide for AMD RDNA 4 architecture GPUs - part 2

Achieve peak AMD RDNA™ 4 architecture memory bandwidth for low-precision GEMM by fusing WMMA to double the K dimension, enabling 128-bit loads for FP8/INT8, and matching hipBLAS results bit-for-bit.
WMMA guide for AMD RDNA 4 architecture GPUs - part 1

WMMA guide for AMD RDNA 4 architecture GPUs - part 1

Practical guide to fusing GEMMs on AMD RDNA™ 4 architecture, covering WMMA layout, a transpose-by-swapping A/B technique, HIP sample code, and hipBLAS-verified results used in Llama.cpp.
Announcing AMD Schola v2.1: state trees, scale, and a richer training stack

Announcing AMD Schola v2.1: state trees, scale, and a richer training stack

AMD Schola v2.1 deepens Unreal Engine integration, adding StateTree support, Kubernetes-oriented distributed training, stronger Minari workflows, and much more to streamline training and inference at scale.
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