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llama.cpp b11811 release adds SVE GEMM kernels and KleidiAI support

By PulseAugur Editorial · [3 sources] ·

A new release of the llama.cpp project, version b11811, introduces optimizations for various hardware platforms including macOS, iOS, Linux, Android, and Windows. This update features new kernels for General Matrix Vector Multiplication (GEMV) and i8mm GEMM, specifically leveraging SVE (Scalable Vector Extension) technology for improved performance. Additionally, the release notes mention the integration of KleidiAI, though some of its features are currently disabled on certain platforms. AI

IMPACT Improves performance for local LLM inference on a variety of consumer hardware.

RANK_REASON This is a software release for a specific tool, not a frontier model release or significant industry event.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

llama.cpp b11811 release adds SVE GEMM kernels and KleidiAI support

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COVERAGE [3]

  1. llama.cpp — Releases TIER_1 (SO) · github-actions[bot] ·

    b11811

    <details open=""> <p>kleidiai : add Q8_0 SVE dotprod GEMV and SVE i8mm GEMM kernels (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/30808">#30808</a>)</p> </details> <p><strong>Website:</strong></p> <ul> <li><a href="https://llama.app" rel="n…

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  3. dev.to — MCP tag TIER_1 English(EN) · Edward Izgorodin ·

    What cross-IDE persistent context platforms are available for engineering teams?

    <p>A lead engineer whose people split work across Claude Code, Cursor, Codex and JetBrains needs a place where one decision stays visible when the next person opens a different tool. This article describes what each vendor documents; it does not test products.</p> <blockquote> <p…

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