汇集 NVIDIA 显卡、GPU 算力、CUDA、AI 工作站与驱动更新。
# 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
This release is meant to fix the following regressions and silent correctness issues: ## Regression fixes - Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs ([#181248](https://github.com/pytorch/pytorch/issues/181248)),
# 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
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-
# PyTorch 2.12.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performa
# PyTorch 2.11.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performa
# Triton 3.6 Release Notes ## 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-improv
This release is meant to fix the following issues (regressions / silent correctness): ### Tracked Regressions Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 ([#166643](https://github.com/pytorch/pytorch/issues/166643)) This rel
# Triton Release Notes ## 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-improvemen
# PyTorch 2.9.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performan
# PyTorch 2.8.0 Release Notes - [Highlights](#highlights) - [Backwards Incompatible Changes](#backwards-incompatible-changes) - [Deprecations](#deprecations) - [New Features](#new-features) - [Improvements](#improvements) - [Bug fixes](#bug-fixes) - [Performan
This release is meant to fix the following issues (regressions / silent correctness): ### Torch.compile Fix Excessive cudagraph re-recording for HF LLM models ([#152287](https://github.com/pytorch/pytorch/pull/152287)) Fix torch.compile on some HuggingFace mod
