Nvidia, the firm whose chips currently power a large portion of the world’s artificial intelligence infrastructure, is moving ...

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek.

Liquid-Cooled Desktop System Runs Models up to 120B Parameters Locally With a Fully Open-Source Stack, Starting at ...

The company is expanding beyond its chipmaking roots.

Adoption trends signal accelerating open-source growth as enterprises rethink long-term AI infrastructure strategy ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Sarvam AI has released two open-source AI models trained in India. Zoho’s Sridhar Vembu said the development highlights the ...

Nvidia Corp. NVDA plans to invest $26 billion over the next five years to develop open-source artificial intelligence models, signaling a major shift in strategy beyond its core chip business. The ...

Nvidia Corp. has released more than a half-dozen artificial intelligence models designed for autonomous systems such as self-driving cars. The algorithms, which are all available under an open-source ...

Nvidia's $26B open source bet ensures 90% of AI research runs on CUDA—CrowdStrike provides the security layer for enterprise deployment.

Whether it is a 0.8B model running on a smartphone or a 9B model powering a coding terminal, the Qwen3.5 series is effectively democratizing the "agentic era." ...

Sarvam’s open-sourced Indic-focused reasoning models signal India’s AI ambition, but missing tooling, ecosystem gaps and fierce competition could slow developer adoption.