According to Satya Nadella on X (via his official post), Microsoft’s Fairwater datacenter in southeastern Wisconsin is going live ahead of schedule, integrating hundreds of thousands of NVIDIA GB200 GPUs into a single seamless cluster designed for AI training and inference at unprecedented scale. As reported by Nadella, Fairwater connects the GB200 fleet with fiber long enough to circle the Earth 4.5 times and is engineered to deliver 10x the performance of today’s fastest supercomputer, enabling day‑one jobs across thousands of GPUs through a co‑designed compute, network, and storage architecture. According to Nadella’s post, the site uses a closed‑loop liquid cooling system requiring zero operational water post‑construction and is matched 100% with renewable energy, addressing sustainability for high‑density AI compute. As stated by Nadella, Microsoft added over 2 gigawatts of new capacity last year and is building multiple identical Fairwater sites across the US and over 100 global datacenters to power model training, test‑time compute, RL tuning, and real‑time inference at scale. For enterprises, according to Nadella, this scale unlocks faster foundation model training, larger context windows, and lower latency inference, creating opportunities in generative AI platforms, AI‑accelerated R&D, and large‑scale multi‑agent workloads.

According to AI News (@AINewsOfficial_), Anthropic allegedly revealed its most powerful AI model to date, codenamed Mythos, via an accidental leak; details remain unverified beyond the tweet and linked video, so claims should be treated as preliminary until Anthropic or a primary publication confirms capabilities or release plans. According to AI News (@AINewsOfficial_), Xiaomi demonstrated a humanoid robot that uses 3D-printed liquid cooling channels to mimic human-like sweating, a thermal management approach that could extend actuator duty cycles and enable longer, higher-torque operation in factory and logistics settings. As reported by AI News (@AINewsOfficial_), if validated, Mythos could expand enterprise use cases in complex reasoning, code generation, and multimodal agents, while Xiaomi’s bioinspired cooling could lower maintenance costs and improve uptime in warehouse picking, last‑meter delivery, and retail robotics.