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@simdcompute

SIMD

@simdcompute
AI-native engineering simulation powered by distributed GPUs
linktr.ee/simdcompute
Joined November 2025
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  • Pinned
    @simdcompute
    SIMD
    @simdcompute
    Jul 4
    Introducing brae: GPU-native computational fluid dynamics. 🌊 The entire simulation runs on one GPU, no matrix shuffled back to the CPU every iteration. ~5× faster than GPU-accelerated OpenFOAM, on the same GPU. Validated to <1%. 🌐 brae.sh
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  • @simdcompute
    SIMD
    @simdcompute
    Sep 30
    Your GPU, earning while you sleep. Brae turns your NVIDIA GPU into income. One command to join. Renters pay by the minute, you keep 80%. Paid to your bank or in USDC. Early access is open → app.brae.sh Settlement in SIMD comes after our smart contract audit.
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  • @simdcompute
    SIMD
    @simdcompute
    Sep 16
    InjectorPipe gasMixing ⛽️ 2.58M cells · 100 SIMPLE iterations Brae, 1 GH200: 21.5s Brae warm: 5.0s OpenFOAM, 64 Grace cores: 33.8s Matches OpenFOAM v2412 to 1.2e-11.
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    @simdcompute
    SIMD
    @simdcompute
    Sep 14
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    Brae now runs OpenFOAM’s rhoSimpleFoam fully on CUDA 🚀 Across cases from 15k to 24M cells on one GH200 outperforms all 64 Grace CPU cores. At 10M cells / 100 SIMPLE iterations: - GH200 GPU: 109s - 64 Grace CPU cores: 921s Matches OpenFOAM to 7e-08. A port, not a
    4
  • @simdcompute
    SIMD
    @simdcompute
    Sep 15
    A transonic 180° U-bend Mach 0.999 on the inner radius, 960K. converged in 3.4 seconds. 112,000 cells. Brae: OpenFOAM’s rhoSimpleFoam, ported to CUDA. The run stopped on the tutorial’s own residualControl at iteration 154 - not a hand-picked iteration count.
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    @simdcompute
    SIMD
    @simdcompute
    Sep 14
    Image
    Brae now runs OpenFOAM’s rhoSimpleFoam fully on CUDA 🚀 Across cases from 15k to 24M cells on one GH200 outperforms all 64 Grace CPU cores. At 10M cells / 100 SIMPLE iterations: - GH200 GPU: 109s - 64 Grace CPU cores: 921s Matches OpenFOAM to 7e-08. A port, not a
    5
  • @simdcompute
    SIMD
    @simdcompute
    Sep 14
    Brae now runs OpenFOAM’s rhoSimpleFoam fully on CUDA 🚀 Across cases from 15k to 24M cells on one GH200 outperforms all 64 Grace CPU cores. At 10M cells / 100 SIMPLE iterations: - GH200 GPU: 109s - 64 Grace CPU cores: 921s Matches OpenFOAM to 7e-08. A port, not a
    Image
    6
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