According to Sawyer Merritt, Morgan Stanley says SpaceX targets $4 per watt infra capex and 6–8x faster deployment, reshaping AI datacenter economics.

According to CNBC, Nvidia will swap GPU access for future profits via token credits in new startup deals, boosting AI compute access and GTM speed.

According to @CNBC, technicals flag a near term entry in Nvidia as AI infrastructure demand stays strong, per chart analysis and sector tailwinds.

According to @CNBC, Kalshi traders are pricing in falling AI chip prices, pressuring Nvidia shares and hinting at margin risk across the accelerator market.

According to @CNBC, enterprise AI budgets and new GPU cycles could steer spending back to Nvidia, boosting margins and data center revenue.

According to @CNBC, Nvidia plans a $20B bond sale to fund AI growth, data centers, and R&D, signaling strong demand and capital needs for accelerated computing.

According to Satya Nadella on X, Microsoft Azure is the first cloud to bring up an NVIDIA Vera Rubin NVL72 system for validation, marking a major step toward next‑generation AI infrastructure with NVIDIA. As reported by Satya Nadella, early validation of the NVL72 cluster signals imminent availability of rack‑scale accelerated computing optimized for large model training and inference workloads. According to public NVIDIA briefings referenced by industry coverage, Vera Rubin integrates NVL72 nodes built around Blackwell‑class GPUs with advanced NVLink networking, which can increase training throughput and reduce interconnect bottlenecks for frontier models. For enterprises, this suggests shorter time‑to‑train, higher job density, and improved cost efficiency on Azure’s AI supercomputing platform, as indicated by Microsoft’s ongoing partnerships with NVIDIA mentioned by Nadella.