#Hardware

Energy could give China an edge in the AI race — here's why

AI data centers are becoming a political battleground: why Big Tech is getting billions

CyberSecQwen-4B: how a small model became a vulnerability expert

Hardware·Guardian

Charlie Burns criticizes Vantage megaproject: how an AI data center is dividing Wisconsin

AI models are getting more expensive: OpenAI raised GPT-5.5 prices by 1.5-2x

NVIDIA packed 3 models into one file and made training 360× more efficient

01NVIDIA invested $40 billion in AI startups in the first four months of 2026, most of it in OpenAIMay 17, 2026·3 min 02Startup Orbital plans to run AI inference from spaceMay 17, 2026·2 min 03SoftBank to open battery production for AI data centers at Sharp plantMay 17, 2026·3 min 04NPUs in laptops: new requirements for corporate ITMay 17, 2026·2 min 05Ollama and Open WebUI on a VPS without a GPU: a candid look at the limitationsMay 17, 2026·1 min

Hardware·MarkTechPost

NVIDIA released cuda-oxide: a compiler for Rust code on GPUs

NVIDIA introduced cuda-oxide, a tool for compiling Rust functions directly into PTX code for GPUs. This will simplify the development of CUD

May 17, 2026·1 min

Top themes

Hardware·3DNews AI

SMIC chief: AI boom will drive profits even without advanced process nodes

The founder of SMIC, China's largest chipmaker, said the company will be profitable on the back of the AI wave despite sanctions and lack of

01AI is creating 'insatiable' demand for memory: Alger CEO on the semiconductor boomMay 17, 2026·3 min 02AI Memory Shortage Splits the Chip Market Into Leaders and LaggardsMay 17, 2026·2 min 03Google unveiled Gemini Intelligence for Android — AI controls appsMay 17, 2026·2 min

Hardware·Guardian

AI data centers consume 6% of electricity in the UK and US

Data centers consume 6% of electricity in the UK and the US, while annual investment in them is approaching $1 trillion, triggering public o

Hardware·Hugging Face Blog

Hugging Face sped up LLM inference by 22% with asynchronous batching

Parallel CPU and GPU processing instead of sequential processing cut GPU idle time by 24% and sped up token generation by nearly a quarter w

Hardware·IEEE Spectrum AI

Applied Materials invests $5 billion in semiconductor R&D center for AI

Applied Materials is creating the EPIC Center, the largest semiconductor equipment R&D center in the US, in a $5 billion project. It will accelerate innovation in the production of energy-efficient ch

Hardware·Habr AI

YOLO and Redis: how to cache video detection results