RISC-V News Brief: March 12, 2026

:penguin: Kernel & Toolchain

  1. RISC-V: KVM Fix for Out-of-Bounds Access in Firmware Counter Read (v4 Patch Set)

    • Summary: A set of v4 patches has been submitted/discussed on the linux-riscv mailing list, addressing a potential out-of-bounds access in KVM when reading SBI firmware PMU counters. The fix also synchronously updates selftests to cover the firmware counter read path. This stability and security fix is “must-watch” for teams running RISC-V KVM virtualization/CI.
    • Timestamp: 2026-03-12 09:20
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  2. OpenSBI RFC: Lazy FPU/Vector Context Switching

    • Summary: An RFC has been proposed on the OpenSBI mailing list, exploring the implementation of “lazy” saving/restoring of FPU and Vector contexts at the firmware/runtime level to reduce overhead in scenarios where F/V units are not used. This is of reference value for system software stacks and performance tuning aiming for lower trap/switch overhead.
    • Timestamp: 2026-03-12 01:11
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  3. SpacemiT K3: RISC-V SoC Ethernet Support Enters net-next (v9)

    • Summary: The net-next v9 series of patches adds DWMAC glue layer, dt-bindings, and MAINTAINERS entries for the SpacemiT K3 SoC, while completing RISC-V-side SoC support. If you’re evaluating or producing on the SpacemiT platform (or tracking mainline progress), this network driver integration directly impacts availability and maintenance cost.
    • Timestamp: 2026-03-12 09:23
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:optical_disk: Distros

  1. Zhihe A210 Running Fedora GNOME Desktop (Ecosystem Usability Progress)
    • Summary: Reports indicate that the Zhihe A210 device has successfully run the Fedora GNOME desktop environment, demonstrating progress in RISC-V desktop and distribution compatibility.
    • Timestamp: 2026-03-12
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:hammer_and_wrench: Hardware & Chips

  1. Tenstorrent Launches TT-QuietBox 2: RISC-V AI Workstation for Local Large Model Inference
    • Summary: Multiple media outlets report Tenstorrent’s launch of the TT-QuietBox 2 (Blackhole), a RISC-V-based AI workstation designed for running large-parameter models locally with an open-source software stack. This is worth following for teams interested in RISC-V high-performance computing and AI inference deployment.
    • Timestamp: 2026-03-12
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