#Hardware
Curated coverage on «Hardware»: releases, research, benchmarks, open-source.
Montage surpasses CATL: AI chip demand drives dual-listing stock prices higher
Montage Technology has become the most expensive dual-listed stock in Hong Kong and mainland China, driven by rising demand for semiconductors in artificial…
NVIDIA Tesla V100 for local AI models: testing on real-world tasks
The 2017 Tesla V100 16GB handles modern LLM models like Qwen35B and GPT-OSS-20B. In tests, it generated websites, games, and document summaries at speeds of 38–109…
GitLab Expanded Support for Open-Source Models for Closed Networks
GitLab 19.0 added four new open-source models for teams with strict data residency requirements. Models include Mistral Devstral, GLM-5.1, Kimi-K2.6, and…
AMD invests over $10 billion in Taiwan in decisive race with Nvidia for AI chips
Sakura Internet Prepares for Sevenfold Increase in AI Data Center Investments
Meta Unveiled SAM 3.1: Real-Time Tracking of 16 Objects in Video
Sharding in LLMs: How to Distribute Computations Across GPUs
NVIDIA Nemotron: Diffusion Models Generate Text 6x Faster
NVIDIA introduced Nemotron-Labs Diffusion — the first language models that generate text in parallel instead of sequentially. In speculative mode, they run 6×…
Meta unveiled four generations of custom MTIA AI chips for infrastructure scaling
Meta unveiled four generations of custom MTIA AI chips — the company's strategy to reduce the cost of serving AI models to billions of users. *Meta is designated as…
MathWorks Demonstrated a Complete Development Cycle for AI Sensors in Embedded Systems
Polyend Endless: Guitar Pedal That Creates Effects from Text Commands
Cohere releases Command A+: 218 billion parameters for agents on two GPUs
Microsoft and Anthropic move AI training bases to Australia
Wendy Liu: Why I Avoid AI and Fear for Human Intelligence
Writer Wendy Liu warns: if we let AI do all the brain's work, we will lose the ability to think and learn — this is what makes us human.
NVIDIA Introduces Gated DeltaNet-2: Linear Attention with Separate Memory Gates
NVIDIA has created a new linear attention mechanism, Gated DeltaNet-2, which improves memory management in large language models through separate erase and write…