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算力与芯片

汇集 AI 算力、GPU 加速器、芯片、数据中心与推理基础设施动态。

194 条资讯按来源发布或更新时间排序
算力与芯片ONNX Runtime 发布官方来源

ONNX Runtime 发布: ONNX Runtime v1.28.1

This is a patch release on top of [v1.28.0](https://github.com/microsoft/onnxruntime/releases/tag/v1.28.0), containing support for device-free WebGPU compilation, improved compatibility with sandboxed Windows processes, and targeted graph-validation fixes. ##

算力与芯片ONNX Runtime 发布官方来源

ONNX Runtime 发布: ONNX Runtime v1.29.0

## Announcements & Breaking Changes - onnxruntime-web has announced the deprecation of WebGL and JSEP. The native WebGPU EP is the recommended path going forward. See the deprecation and migration plans for details ([#29716](https://github.com/microsoft/onnxru

算力与芯片Intel OpenVINO 发布官方来源

Intel OpenVINO 发布: 2026.3.0

### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * New models supported: * On CPU, GPU, and NPU: SmolLM3-3B, LFM2-1.2B, LFM2.5-1.2B * On CPU and GPU: Harrier OSS-v1-0.6B, Qwen3-8B wit

算力与芯片SGLang 发布官方来源

SGLang 发布: v0.5.17

# Highlights *582 PRs from 194 contributors.* **Kimi K3 day-0 support**: A 2.8T-parameter multimodal LatentMoE (896 experts, top-16, routed in a 3584-dim latent space) with a 1M-token context, 69 KDA linear-attention layers interleaved with 24 MLA layers, and

算力与芯片vLLM 发布官方来源

vLLM 发布: v0.27.0

# vLLM v0.27.0 Release Notes ## Highlights This release features 561 commits from 242 contributors (64 new)! * **Kimi K3 support** with a full stack landing in one release: core model files and kernels (#50089, #50000), Python (#50093) and Rust (#50104) fronte

算力与芯片Triton 编译器发布官方来源

Triton 编译器发布: gfx950-tutorial-v2.0

Adds the two compiler changes the Gluon Flash Attention kernels need, on top of gfx950-tutorial-v1.1. The LLVM pin is unchanged (850a2b1), so the out-of-tree LLIR-scheduler plugin does NOT need rebuilding. [Gluon] gl.warp_predicate — a per-wave masked-skip reg

算力与芯片vLLM 发布官方来源

vLLM 发布: v0.26.0

# vLLM v0.26.0 Release Notes ## Highlights This release features 411 commits from 212 contributors (61 new)! * **New Inkling model family** with a full support stack: base modeling (#48799), piecewise CUDA graph support (#48822), Hopper FA4 relative attention

算力与芯片ONNX Runtime 发布官方来源

ONNX Runtime 发布: ONNX Runtime v1.28.0

## Announcements & Breaking Changes - Upgraded to **ONNX 1.22.0** and protobuf 6.33.5 ([#28754](https://github.com/microsoft/onnxruntime/pull/28754), [#29606](https://github.com/microsoft/onnxruntime/pull/29606), [#28967](https://github.com/microsoft/onnxrunti

算力与芯片SGLang 发布官方来源

SGLang 发布: v0.5.16

# Highlights *574 PRs from 169 contributors.* **DSpark: confidence-driven speculative decoding**: A new speculative algorithm. It drafts semi-autoregressively in blocks, then sizes each verify window from the draft's own confidence instead of a fixed draft len

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