#Hardware
Curated coverage on «Hardware»: releases, research, benchmarks, open-source.

Intel officially joins Elon Musk's Terafab chip project
Intel enters partnership with Terafab — Elon Musk's chip initiative, bringing manufacturing expertise to his most cutting-edge project.

Firmus, Nvidia-backed AI data center builder, reaches $5.5 billion valuation
Asian AI data center provider Firmus raised $1.35 billion in six months with Nvidia support and reached a $5.5 billion valuation—one of the fastest capitalization…

Elon Musk's partnership with Intel on Terafab chips raises more questions than answers
Musk announced the Terafab chip venture with Intel as a partner, but the company's role in the project remains unclear, and analysts doubt the realism of the entire…

Zuckerberg and Dorsey want to clone themselves with AI — to lead from anywhere

AI Agents Now Write GPU Code: RightNow AI Releases the AutoKernel Framework

Google Unveils Gemma 4: Four Open Models for Any Device

Gemma 4 Goes Fully Open for Local Deployment

Chinese AI Chipmakers Seize the Market: Local Players' Share Hits 41%
China's import substitution is gaining speed. As sanctions erode Nvidia's position, domestic companies now hold nearly half of the server AI market.

Nothing Enters the AI Smart Glasses Market
Nothing, the startup known for its transparent design, is expanding its ecosystem. Next year it will unveil AI-powered smart glasses, taking on the leaders in…

The Magic of Quantization: How to Run Giant Neural Networks on an Ordinary Laptop

Google unveils TurboQuant algorithm: AI model memory cut sixfold

NVIDIA introduced Nemotron 3 Super — an open model with 120 billion parameters

Nvidia prepares to challenge leaders in the autonomous driving market

Detention and Labor Camp Owners Strike Gold in AI Boom
The infrastructure boom for neural networks requires harsh physical solutions. Why big tech increasingly turns to prison contractors for building giant data centers.

Google introduced TensorFlow 2.21 and LiteRT for mobile AI
Google introduced TensorFlow 2.21 and LiteRT, a new standard for running neural networks on smartphones with NPU support and GPU acceleration for mobile platforms.









