Intel's AI-related software has been getting better, but it's still not great.

This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...

Engineers from OLX reported that a single-line modification to dependency requirements allows developers to exclude unnecessary GPU libraries, shrinking contain ...

YouTuber and orbital mechanics expert Scott Manley has successfully landed a virtual Kerbal astronaut on the Mun, the in-game moon of Kerbal Space Program, using a ZX Spectrum home computer equipped ...

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...

While the eyes of the tech world were firmly affixed on Nvidia last week for its GTC event and the unveiling of its new Groq ...

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

At this bigger-than-ever GTC, Huang made it clear that Nvidia is gunning to command the levers of the entire AI factory ...

With 125,000 GitHub stars, 225 million package downloads, and 2.5 billion daily inferences, the team behind Ultralytics YOLO features a unified platform to take vision AI from raw data to production ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...