Overview Present-day serverless systems can scale from zero to hundreds of GPUs within seconds to handle unexpected increases ...

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

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

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 ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Ocean Network today announced the official Beta launch of its decentralized peer-to-peer (P2P) compute orchestration layer. This marks a shift from fragmented hardware to a highly liquid market where ...

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 ...

TL;DR: NVIDIA confirms ongoing GeForce RTX 50 Series GPU shortages due to the global memory crisis, impacting supply through fiscal 2027. Despite record gaming revenue driven by the RTX 50 Series, ...

Meta said its multiyear deal with AMD involves deploying up to 6 gigawatts of the company's graphics processing units for AI data centers. Last week, Meta committed to using millions of Nvidia's ...