汇集 AI 算力、GPU 加速器、芯片、数据中心与推理基础设施动态。
# ROCm Core SDK 7.14.0 release notes ROCm Core SDK 7.14.0 transitions ROCm to [TheRock](https://github.com/ROCm/TheRock), a build and release system that introduces a modular architecture to improve flexibility, maintainability, and alignment with community us
# vLLM v0.25.1 ## Highlights This release features 2 commits from 2 contributors (1 new)! v0.25.1 is a patch release containing two targeted bug fixes on top of v0.25.0. ### Bug Fixes * **Avoid blocking model launching when no system FFmpeg is available for To
v0.5.15.post1 includes a few patches, mostly for GLM 5.2 - #30454 #30627: Fix DSA model launching on non Cuda/HIP devices - #30858: Fix flashinfer dependency on Cuda 12 images - #31001: Fix NaN outputs caused by flashinfer trtllm FP4 MoE kernels on long input
Rebased onto upstream triton main with the merged warp-pipeline PR #10840 (always-on sched.barrier after each stage's memory ops, SchedGroupMask::non_mem_non_sideeffect). Drops the tutorial's local fence_loads/keep_order commits (superseded by #10840); keeps t
# vLLM v0.25.0 Release Notes ## Highlights This release features 558 commits from 232 contributors (64 new)! * **Model Runner V2 is now the default for all dense models** (#44443). Building on quantized-model support from the previous release, MRv2 is now the
This is a patch release on top of [v1.27.0](https://github.com/microsoft/onnxruntime/releases/tag/v1.27.0), containing targeted bug fixes, a CUDA QMoE decode-path optimization, and CI/build infrastructure fixes. ## Bug Fixes - [MLAS] Fixed an `igemm` regressio
# Highlights **GLM-5.2 NVFP4, tuned for production**: We took time this cycle to tune GLM-5.2 NVFP4 on Blackwell for optimized production serving. It now runs at **500+ tok/s/user on 8x B300, 450 on 4x GB300** (bs=1). Run GLM-5.2 with our [cookbook](https://do
## Table of Contents - [Dialect & Frontend](#dialect--frontend) - [Backend & Compiler](#backend--compiler) - [AMD/HIP Backend](#amdhip-backend) - [NVIDIA Backend](#nvidia-backend) - [Gluon & Layout Improvements](#gluon--layout-improvements) - [Kernels & Benchm
Out-of-tree LLIR scheduler + amdgcnas plugins. Removes the in-tree LLIR scheduler and amdgcnas post-assembly tool (now shipped as plugins in the gfx950-gluon-tutorials repo) and keeps only the plugin-enabling hooks: the LLVM_PASS_PLUGIN_KEEP_TARGET_MACHINE gat
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LLIR scheduler + amdgcnas + RA-hints, rebased onto upstream main (63a5e1f). Adds MMRA-fence-aware barrier handling (keeps release/acquire fences glued to the s.barrier) and decouples the LLVM misched-disable from the env var (driven off whether the LLIR schedu
# vLLM v0.24.0 Release Notes ## Highlights This release features 571 commits from 256 contributors (77 new)! * **MiniMax-M3**: Added support for the new **MiniMax-M3** model (#45381), with a fast follow-on of BF16/FP8 indexer via MSA (#45892), MXFP4 support (#
# Highlights New Model Support: [GLM-5.2](https://docs.sglang.io/cookbook/autoregressive/GLM/GLM-5.2), [LiquidAI LFM2.5](https://docs.sglang.io/cookbook/autoregressive/LiquidAI/LFM2.5), [Kimi-K2.7-Code](https://docs.sglang.io/cookbook/autoregressive/Moonshotai
Triton 3.7.1 is a patch release on top of 3.7.0. It fixes the following 2 regressions and contains no new features or API changes. ## Regression fixes - Add async read dependencies to FenceAsync — a missing fence between a shared-memory store (st.shared) and a
# Summary of improvements * Fixed issue ID 187077: YOLO26 fails to compile on GPU * Resolved an issue in NPU plugin with shared L0 command queue causing violation of app/inference priorities You can find OpenVINO™ toolkit 2026.2.1 release here: * [Download arc
Release v0.5.13.post1
# vLLM v0.23.0 Release Notes Please note that Minimax M3 is not yet supported in this version. Please follow [vLLM recipe](https://recipes.vllm.ai/MiniMaxAI/MiniMax-M3) for usage guides for M3. ## Highlights This release features 408 commits from 200 contribut
## Highlights **New Model Support**: - **Autoregressive**: [Nemotron 3 Ultra](https://docs.sglang.io/cookbook/autoregressive/NVIDIA/Nemotron3-Ultra) (Day-0, [blog](https://www.lmsys.org/blog/2026-06-04-nvidia-run-nemotron-3-ultra/)), [Step-3.7-Flash](https://d
## Highlights This release features 8 commits from 6 contributors (1 new)! v0.22.1 is a patch release on top of v0.22.0 with targeted bug fixes plus a couple of additions: new model support for JetBrains' Mellum v2, zentorch-accelerated quantized linear infere
LLIR scheduler + amdgcnas + RA-hints, rebased onto upstream main. Adds MMRA-fence-aware barrier handling (keeps release/acquire fences glued to the s.barrier) and decouples the LLVM misched-disable from the env var (driven off whether the LLIR scheduler actual
# ROCm 7.2.4 release notes ROCm 7.2.4 is a quality release focused on performance and stability fixes for AI inference workloads on AMD Instinct GPUs. - [Release highlights](#release-highlights) - [ROCm binaries](#rocm-binaries) ## Release highlights The follo
The release notes provide a summary of notable changes since the previous ROCm release. - [Release highlights](#release-highlights) - [Supported hardware, operating system, and virtualization changes](#supported-hardware-operating-system-and-virtualization-cha
ROCm 7.2.2 is a quality release that resolves the issue listed in the Release highlights. - [Release highlights](#release-highlights) - [ROCm binaries](#rocm-binaries) ## Release highlights The following are the notable changes in ROCm 7.2.2. ### ROCTracer fai
The release notes provide a summary of notable changes since the previous ROCm release. - [Release highlights](#release-highlights) - [Supported hardware, operating system, and virtualization changes](#supported-hardware-operating-system-and-virtualization-cha
### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * New models supported: Gemma 4 E2B and Gemma 4 E4B * Only on CPUs & GPUs: Qwen3-Coder-Next, Qwen3.5, Qwen3.6, Trinity-mini, LFM2-24B-
v0.5.12.post1 is a stability patch on top of v0.5.12. It cherry-picks 12 fixes — primarily for DeepSeek V4 — onto the release branch. # Bug Fixes ## DeepSeek V4 * DSV4-Pro emits garbled text during single-token decode on B200/B300 (fix `deep_gemm` UE8M0 scale-
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gfx950 tutorial pin: LLIR scheduler + amdgcnas (no extra optimizations)
Details: item1 ... Tickets: ticket-id AI Assistance: AI assistance used: no / yes If yes, summarize how AI was used and what human validation was performed (build/tests/manual checks).
### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * New models supported on CPUs & GPUs: Qwen3 VL * New models supported on CPUs: GPT-OSS 120B * Preview: Introducing the OpenVINO backe
