Abstract: With the advance of smart manufacturing and information technologies, the volume of data to process is increasing accordingly. Current solutions for big data processing resort to distributed ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

To understand why TSP is important, you must first understand the two parallelism strategies it folds together. Tensor Parallelism (TP) splits model weights across GPUs. If you have a weight matrix in ...

In this tutorial, we explore the latest Gemini API tooling updates Google announced in March 2026, specifically the ability to combine built-in tools like Google Search and Google Maps with custom ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

What if you could master an innovative platform that transforms your AI development workflow in less time than it takes to watch an episode of your favorite show? Below Keith explores how OpenCode, a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Microsoft EVP of Cloud + AI Scott Guthrie says the goal is to be able to 10X the AI training every 18-24 months. This likely includes maintaining the 2-4X pace of chip improvement. Satya Nadella gave ...

Nov 12 (Reuters) - AI startup Parallel Web Systems, founded by former Twitter CEO Parag Agrawal, has raised $100 million to build web search infrastructure for artificial intelligence agents and fund ...

We applied the techniques outlined in Section 7 to implement a data-parallel algorithm that can convert stroked 2D Bézier paths into flat geometry suitable for GPU rendering. We focused primarily on ...