A team at Stanford has shown that large language models can automatically generate highly efficient GPU kernels, sometimes outperforming the standard functions found in the popular machine learning framework PyTorch.<br /> The article AI-generated CUDA kernels outperform PyTorch in several GPU-heavy machine learning benchmarks appeared first on THE DECODER. [...]
Microsoft on Monday unveiled the Surface RTX Spark Dev Box, a compact desktop computer designed to let software developers run large AI models on their desks instead of paying for cloud computing — [...]
The Steam Machine is back from the dead. Not as a Valve-supported program for manufacturers to create living room PCs, but instead as a home console sibling to the Steam Deck. Valve introduced its sec [...]
Enterprises can't fix their GPU waste problem because the fix makes the problem worse. Releasing idle capacity would improve utilization, but the same shortage driving GPU prices up is exactly wh [...]
When the transformer architecture was introduced in 2017 in the now seminal Google paper "Attention Is All You Need," it became an instant cornerstone of modern artificial intelligence. Ever [...]
Researchers from Stanford, Nvidia, and Together AI have developed a new technique that can discover new solutions to very complex problems. For example, they managed to optimize a critical GPU kernel [...]