At its recent GTC 2026 conference, NVIDIA rolled out a new open source software package designed to help organizations build, deploy, and manage AI agents.

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

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 ...

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

Karpathy's autoresearch and the cognitive labor displacement thesis converge on the same conclusion: the scientific method is ...

A practical offline AI setup for daily work.

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

Unlike Nvidia's earlier Grace processors, which were primarily sold as companions to GPUs, Vera is positioned as a ...

Ocean Network bridges this gap by focusing on the Orchestration Layer. To ensure top-tier reliability and performance from ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines ...

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 ...

Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.