Intel launches Arc G3 handheld gaming chips with Acer

NVIDIA argues that performance per watt is the critical metric for AI infrastructure efficiency, as power constraints directly determine token generation capacity and profitability in AI factories. The company claims its Blackwell NVL72 platform delivers up to 25x performance per watt over Hopper on frontier models like DeepSeek V4 Pro, achieved through system-wide codesign spanning silicon, software, and networking. As agentic AI increases token demand, infrastructure choices made today will determine which organizations can scale in a power-constrained environment.

Chinese humanoid robotics startup LimX Dynamics closed a pre-IPO funding round at a 15 billion yuan ($2.2 billion) valuation, raising $200 million from domestic and international investors. The round was led by IDG Capital, a major Chinese venture firm. The funding positions the company for a potential public listing and reflects growing investment in humanoid robotics development in China.

PsiQuantum, a UK-founded quantum computing startup, is building a photonic quantum computer designed to solve problems current machines would take millions of years to address. The company has raised $1 billion, is constructing facilities in Chicago and Australia, and is one of only two firms (alongside Microsoft) to reach the third stage of a government quantum evaluation program. Its claims are bold, from reducing drug development timelines to four minutes, but the company now faces a critical prove-it moment as it approaches commercialization.

Google is expanding its tensor processing unit business beyond internal use and Google Cloud, now actively marketing TPUs to emerging cloud providers that have previously focused exclusively on renting Nvidia GPUs. The company has approached neocloud operators like Nscale as part of a competitive push against Nvidia's dominant market position in AI chips. This marks a strategic shift from Google's historical practice of keeping TPUs confined to its own infrastructure.