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 ...

Bittensor (TAO) surges 15% after Nvidia CEO Jensen Huang validates decentralized AI. Covenant-72B confirmed as record-breaking distributed LLM model.

Whenever we see big leaps in computation, would-be central planners come out of the woodwork, claiming this finally makes it ...

Learn more about how AI agents are reshaping enterprise workflows in TechRepublic’s latest generative AI coverage.

Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.

At NVIDIA GTC 2026, DeepRoute.ai presented a comprehensive introduction to its 40-billion-parameter Vision-Language-Action (VLA) Foundation Model architecture, representing a fundamental breakthrough ...

Welcome to the stage, NVIDIA Founder and CEO, Jensen Huang. Welcome to GTC. I just want to remind you, this is a tech conference. All these people are lining up so early in the morning, all of you in ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads.

South Korean operator SK Telecom (SKT) claimed it can solve memory supply chain issues using SK Hynix wares as it continues ...

Nvidia's CEO makes the case that AI data centers will be more efficient, more economical, and generate more revenue if you buy all the parts from his company.

The AI strategy aims to build high-performance computing, sovereign data platforms, data centres, and secure, inclusive connectivity.

Physical AI demands real-world orientation: agents need spatial grounding, sensors, and context beyond language.