Every included story has a verified publication date, explicit source, company and model attribution, plus a qualitative judgment that can be revised as the evidence changes.
NVIDIA released Nemotron 3.5 Lightning, a 30-billion-parameter mixture-of-experts model with 3 billion active parameters, open weights, training data and recipes. The commercially usable model targets high-volume execution in long-running agents, runs on local hardware or data centers, and is distributed through open repositories, hosted APIs and cloud partners.
NVIDIA signed memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to create financing platforms intended to mobilize more than $500 billion for AI infrastructure used by frontier labs, enterprises, and AI clouds.
Anthropic agreed to use all Colossus 1 capacity, adding more than 300 megawatts and 220,000 NVIDIA GPUs within a month while doubling Claude Code limits and raising API limits.
NVIDIA released Alpamayo 1 as an open vision-language-action model for autonomous vehicles, alongside simulation tools and datasets intended to accelerate Level 4 deployment roadmaps.
NVIDIA released a 30-billion-parameter hybrid model with 3 billion active parameters, open weights, and efficiency aimed at large multi-agent deployments.
OpenAI released GPT-5.2 Instant, Thinking, and Pro across ChatGPT and APIs with stronger professional work, coding, long context, tool use, and multi-step agent performance.
NVIDIA announced that its first Ampere data-centre GPU, the A100, was in full production and shipping worldwide. The company reported up to a twentyfold AI performance increase, support for training and inference, and adoption by major cloud providers and server makers.
NVIDIA completed its $7 billion acquisition of Mellanox Technologies, combining GPU computing with high-performance networking in one supplier. NVIDIA explicitly framed the completed combination as an end-to-end platform for AI and accelerated data science from cloud infrastructure through edge systems and robotics.