Nvidia announced the transformation of data centers into AI factories
Nvidia reported a late series of hardware milestones and modernization to support advancing the company’s aspirations.
The most important technology that will help implement Nvidia’s vision is the company’s Grace superchips. At Computex, Nvidia reported that various hardware vendors, including ASUS, Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn, will build Grace base systems that are supposed to start shipping in the first half of 2023.
Grace superchip should be available in several different configurations. The first alternative is a two-chip architecture connected with Nvidia’s NVLink interconnect. The second concept is called the Grace Hopper Superchip, which connects the Grace CPU with an Nvidia Hopper GPU.
Reddit is positioning AI-powered search as its next major growth opportunity. The company saw its Reddit Answers feature surging from 1 million to 15 million weekly users in 2025. Although Reddit's AI search is not yet monetized, the company called it "an enormous market and opportunity".
ElevenLabs raised $500 million at an $11 billion valuation, tripling its valuation from a year ago. The startup also reported $330 million in ARR from enterprise voice AI adoption, and ambitious plans to expand its presence in global markets as it builds momentum towards an eventual IPO.
Anthropic released Claude Opus 4.6 with "agent teams" that enable multiple agents to work in parallel on complex tasks, a 1 million token context window, and direct PowerPoint integration, expanding the model's appeal beyond software developers to knowledge workers across industries.
China's Moonshot AI released Kimi K2.5, an open source multimodal model with agent swarm technology that enables up to 100 sub-agents to work in parallel, alongside Kimi Code, a coding tool that rivals Anthropic's Claude Code.
Arcee AI, a 30-person US startup, released Trinity Large, a 400B-parameter open source model that rivals Meta's Llama 4 Maverick, addressing concerns about China's dominance in open-weight models and uncertainty around US companies' commitment to open source AI.
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