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 dominated tech news this week, as its hold on the artificial intelligence factory boom only tightened at its annual GTC conference in San Jose. It introduced a raft of updated chips and ...

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 ...