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knowrohit/README.md

i like to engineer systems to make them run faster or to make them run efficiently on constrained hardware.

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  1. SRSWTI/knivesysl SRSWTI/knivesysl Public

    bare-cuda fp6 inference engine for qwen3.8-27b on one rtx 5090 — sm120 tensor-core kernels, 256k context, near-lossless perf too!

    Cuda

  2. SRSWTI/shooting-brake SRSWTI/shooting-brake Public

    run a 118b moe on one 5090 and two intel b70s. 88 tok/s. yes cuda and sycl both runtimes talking to each other. beating rtx pro 6000 on 120k ctx plus.

    C++

  3. SRSWTI/bodega-inference-engine SRSWTI/bodega-inference-engine Public

    fastest runtime for apple silicon.

    Python 90 3

  4. cutlass cutlass Public

    Forked from intel/sycl-tla

    SYCL* Templates for Linear Algebra (SYCL*TLA) - SYCL based CUTLASS implementation for Intel GPUs

    C++

  5. llvm-project llvm-project Public

    Forked from llvm/llvm-project

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

    LLVM

  6. vllm vllm Public

    Forked from vllm-project/vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python