TensorRT Doubles Protein Prediction Speed
AllThingsApx · x · 2026-07-11
NVIDIA shared a case study from the University of Washington's protein design team: they used **cuEquivariance** and **TensorRT** to accelerate the structural prediction model **RF3**. For a **256-residue** protein, inference time was reduced from **5.8 seconds to 2.5 seconds**, achieving over **2×** speedup. The core takeaway here isn't a model release, but rather: - Geometric core computations were successfully accelerated. - The NVIDIA toolchain can significantly reduce wait times in protein design workflows. - This has direct implications for scientific workflows like protein design and structural prediction.
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