As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey, the power of software optimisation, and how the fusion of GPUs and LPUs w ...

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

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

Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

Will the reality live up to the hype? by Jonathan Ruane, Andrew McAfee and William D. Oliver In 1994, mathematician Peter Shor introduced a quantum-computing algorithm that could reduce the time it ...