AMD released AgentKernelArena, an open-source benchmarking framework for AI coding agents on GPU kernel optimization tasks using AMD Instinct GPUs. In tests on a 44-task subset, AMD's GEAKv3 agent ach…
AMD announced the acceleration of large-scale LLM inference on its Instinct MI350X/MI355X GPUs using Eagle3 speculative decoding and AMD Quark quantization. The work enables lossless inference speedup…
AMD published a guide demonstrating a GPU-resident YOLO26 object detection pipeline on the Radeon AI PRO R9700 GPU using ROCm 7.2. The pipeline keeps video frames in VRAM from decode to bounding boxes…
AMD announced a new kernel family, LDS-Pipelined Split-K GEMM, that accelerates LLM inference on AMD GPUs by optimizing decode-time GEMMs with small M and large N/K dimensions. The technique achieves …
The OpenXLA compiler stack and JAX now run upstream on AMD ROCm, with XLA gating every pull request on real AMD Instinct silicon through GitHub Actions and JAX running hardware tests on every ROCm PR.…
AMD introduced workload pre-emption in its Resource Manager to reclaim idle GPUs from underutilized workloads, improving cluster efficiency. The feature monitors GPU utilization per workload and termi…
AMD introduces DP Attention and Two-Batch Overlap (TBO) optimizations for DeepSeek-V4 inference on MI355X GPUs, using a coordinated prefill scheduler called PrefillDelayer to reduce padding waste and …
AMD Radeon GPUs, both integrated and discrete, now support running large language models locally through open-source tools like Lemonade, LM Studio, Ollama, and llama.cpp. A new guide provides step-by…
A comparative analysis of scale-out RoCE network traffic patterns in training large language models reveals that hyperscale deployments like xAI's Grok 4.0 generate network loads orders of magnitude h…