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Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

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  1. Nvidia announces native GPU programming in Rust

    NVIDIA released CUDA‑Rust, letting you write GPU kernels directly in Rust and compile to PTX. Two programming models are supported: the traditional SIMT model via the `cuda-oxide` backend (nightly Rust, custom codegen) and the newer Tile model via `cutile‑rs` (stable Rust, JIT‑compiled Tile IR). Both provide Rust‑typed safety guarantees (e.g., `DisjointSlice`, tensor partitioning) and simple Carg…

    Hacker News front pagenvidia.com11 minHN961402
  2. Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs

    Flash-dLLM is a training-free framework that accelerates Diffusion LLM inference by addressing GPU memory I/O bottlenecks with an I/O-aware KV-cache kernel. It also introduces a KV-cache-driven draft-and-verify decoding strategy, achieving significant speedups (up to 11x) over prior methods.

    Hugging Face Daily Papersarxiv.org1 minpaper
  3. OpenJev

    OpenJev is a browser‑only demo that lets you load small LLM checkpoints (e.g., MiniCPM‑5 2B, Qwen3 0.6B) onto your GPU and compare two inference paths: reading raw logits for a set of options versus prompting the model to emit a JSON with option probabilities token‑by‑token. The page reports model sizes, download times, balanced accuracy on a few benchmarks, and wall‑clock timings measured with `…

    Hacker News front pageopenjev.com2 minreleaseHN709288