JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...
Researchers analyzed clinical data and RNA expression from the peripheral blood of 174 patients with gout and hyperuricemia that had been collected at week 48 of their participation in the STOP Gout ...
NVIDIA's BioNeMo Recipes simplify large-scale biology model training with PyTorch, improving performance using Transformer Engine and other advanced techniques. In a significant advancement for ...
When trying to run examples.text2image, the script fails with a StopIteration error related to transformer_engine.pytorch. It seems that the shared library for ...
Tesla confirmed its plan to produce its own electrical transformers, a new business for the automaker, but it started on the wrong foot. Many top Tesla engineers left over the last year to build their ...
With US electricity demand surging, two critical grid infrastructure components may be facing a significant supply shortage in 2025, said a report from Wood Mackenzie. Since 2019, power transformer ...
The U.S. power sector is facing mounting strain as demand for transformers outpaces supply, according to a new analysis from Wood Mackenzie. The report projects that by 2025, supply shortages could ...
Bioinformatics is on the rise, forecasted to grow by about $16 billion from 2024 to 2029 given its value to managing mass datasets critical to modern drug discovery and development. Two talent ...
I'm encountering a CUDA runtime error when attempting to use transformer_engine.pytorch in my Docker-based environment. The error occurs both when calling torch.randn ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results