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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

4 articles

Industry

Firebird Opens CIS Region's Largest AI Factory in Armenia

Firebird, a U.S.-based AI cloud company, opened the CIS region's largest AI factory in Hrazdan, Armenia, on August 8, 2026. Built on NVIDIA accelerated computing and Dell PowerEdge servers, the facility is scaling from 15 MW to 300 MW of AI infrastructure capacity, with plans to deploy over 70,000 NVIDIA GPUs by 2027. The opening ceremony drew high-level officials from Armenia, Kazakhstan, and the U.S., highlighting the project's regional significance.

Aug 86 minNeura News

Industry

Mirendil Signs $100M+ Google Cloud Deal to Power Self-Improving AI Research

Mirendil, an AI lab focused on self-improving AI, has signed a multi-year partnership with Google Cloud worth over $100 million. The deal provides access to TPUs and Nvidia GPUs for research into recursive self-improvement. Co-founded by former Anthropic researchers, the startup aims to build AI that can eventually run an entire frontier AI lab.

Aug 64 minNeura News

Industry

Google to Pay SpaceX $920M Monthly for GPU Compute

SpaceX has secured another major compute deal ahead of its IPO, this time with Google. The agreement, revealed in a regulatory filing, sees Google paying $920 million per month from October 2026 through June 2029 for access to approximately 110,000 NVIDIA GPUs and other components. The deal mirrors a similar arrangement between SpaceX and Anthropic announced in May.

Jun 53 minNeura News

Developer

Workshop to Train GPT Model from Scratch on Laptop

A GitHub project provides a hands-on workshop for building a full GPT training pipeline. Users write code for tokenization, transformer architecture, training loop, and text generation to train a 10 million parameter model on a laptop in under an hour. Designed for a single session, it uses character-level tokenization on Shakespeare data and supports Apple Silicon, NVIDIA GPUs, or CPU.

May 55 minNeura News