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

Nvidia released Nemotron 3 Nano Omni — an open multimodal model for edge agents
Nvidia presented Nemotron 3 Nano Omni — an open multimodal model with 30 billion parameters and 3 billion active during inference, designed for autonomous AI agents…

OpenAI falls short of internal growth targets, market erases tens of billions
After reports that OpenAI missed internal revenue and ChatGPT growth goals, investors sharply sold shares of its partners — from Oracle to SoftBank.

NVIDIA Releases Nemotron 3 Nano Omni on Amazon SageMaker JumpStart on Release Day
NVIDIA added Nemotron 3 Nano Omni to Amazon SageMaker JumpStart on release day to enable companies to quickly deploy multimodal AI scenarios for text, images…

OpenAI, MiniMax and Nvidia Set the Tone for March in AI: Sora, GPT-5.4 and the Bet on Mira Murati

Anthropic CEO Dario Amodei Promises 'Good AI', but Critics Call for Slowdown

How TGS and AWS Reduced Seismic AI Model Training from Six Months to Five Days

OpenAI Buys Tech Show TBPN to Strengthen Influence Over AI Discourse

Google Gemma 4, NVIDIA, and OpenClaw: Local AI Agents Without Per-Token Billing
Google and NVIDIA are promoting local deployment of Gemma 4 on RTX, Jetson, and DGX Spark so that always-on AI agents like OpenClaw run faster, cheaper, and without…

OpenAI slows revenue and new user growth amid expensive AI infrastructure costs
OpenAI faces rising computational costs, weaker revenue, and slowing user acquisition as part of its audience switches to alternative AI services.

OpenAI buys tech show TBPN: the company's first media deal in its history

NVIDIA Showcased Complete Model Optimization Pipeline with FastNAS Pruning and Fine-tuning

Qwen and llama.cpp: how to run a local neural network without the cloud on your computer or server

Directum: Why Business Actively Discusses AI Agents but Hesitates to Deploy Them in Processes

SpaceX and Blue Origin want to move AI data centers to orbit, but physics is against it

Samsung Expects Memory Shortage to End by 2028—Signaling a Shift in AI Growth Expectations

Nvidia demonstrated neural texture compression for games: VRAM usage decreased by nearly seven times

PHP and RubixML transition from arrays to GPU: how the ecosystem's approach to ML is changing
The PHP community is increasingly moving machine learning out of arrays and loops into native structures, extensions, and GPUs, transforming the language from a…

Nvidia Invested $2 Billion in Marvell and Transformed Partnership Into Infrastructure Ecosystem
Nvidia invested $2 billion in Marvell and embedded it into NVLink Fusion to profit from hyperscalers' custom AI chips even as they move away from off-the-shelf GPUs.






