Creative Apps Embed AI Agents via Model Context Protocol

Google is developing a custom server chip called 'Frozen v2' that would embed its Gemini AI model architecture directly into hardware to improve inference efficiency. The chip is projected to be 6 to 10 times more efficient than Google's current homegrown AI chips when measured by tokens served per unit of power. The project addresses a critical compute capacity shortage that has strained Google Cloud's ability to serve external customers.

Memory chip stocks Samsung, SK Hynix, and Micron have sold off this month, creating a buying opportunity for investors willing to bet the sector's growth will continue despite historical boom-and-bust cycles. Samsung trades at the lowest valuation of the three, at just under 4 times book value, less than half where its competitors trade. The sell-off reflects investor concerns that the memory chip surge could falter in coming years.

NVIDIA and Hugging Face have integrated NeMo Automodel, an open-source training library, with the Diffusers ecosystem to enable distributed fine-tuning of video and image models at scale. The integration allows users to fine-tune diffusion models like FLUX.1-dev, Wan 2.1, and HunyuanVideo directly from Hugging Face Hub without checkpoint conversion or model rewrites. The collaboration brings production-grade capabilities including memory-efficient sharding, latent caching, and multiresolution bucketing to any Diffusers-format model.

Valar Atomics, a three-year-old startup developing small nuclear reactors for data centers and industrial facilities, is in fundraising talks for $1 billion at a pre-money valuation around $5 billion. Sequoia Capital is leading the discussions, which could include a mix of debt and equity. The funding round follows the company's achievement of a power milestone.