According to SawyerMerritt, Waymo detailed custom 5nm silicon, 1000+ TOPS, and a redundant, rugged, low latency stack for full driverless operations.

According to CNBC... Nvidia links GPU buyers with Nordic data centers to speed AI infrastructure, citing software stack and government ties for scale.

According to @CNBC, Bank of America says Nebius, up over 200% in 2026, can climb further on AI cloud demand and margin expansion.

According to @CNBC, Jensen Huang is pitching Nvidia GPUs as long life financial assets to Wall Street, aiming to outpace China’s AI buildout.

According to @CNBC, CoreWeave shares rose 8% as Q2 revenue doubled on surging AI compute demand, driven by Nvidia GPU cloud rentals and long-term deals.

According to @CNBC, CME launched futures on AI compute, letting firms hedge GPU costs and speculate on demand, per CNBC’s report on August 11, 2026.

According to @CNBC, Nvidia moved to address circular financing claims tied to AI startups, but analysts question if disclosures will ease market concerns.

According to @CNBC, Nvidia shares rose on AI server demand, while SpaceX earnings failed to lift its valuation, signaling divergent hardware AI bets.

According to SawyerMerritt, SpaceX targets 10GW compute by 2025 and standardizes on Nvidia Vera Rubin, signaling massive AI training scale.

According to @CNBC, investors rotated from AI infrastructure to crypto stocks, boosting exchanges while bitcoin miners lag amid power and capex headwinds.

According to Sawyer Merritt, Nvidia may backstop $250B to help OpenAI lease a 10GW SoftBank data center in Ohio, per WSJ, in a project topping $500B.

According to DeepLearningAI, a free course shows Cerebras WSE delivering tokens several times faster than GPUs for real time LLM apps.

According to @CNBC, options traders piled into bullish Nvidia calls as chips fell, signaling expectations for an AI server demand rebound.

According to @CNBC, Morgan Stanley says Alibaba Cloud offers a new way to play AI via model hosting, enterprise GPU services, and data tools.

According to CNBC... Micron, Intel, and AMD gained $2T in Q2 as AI chip demand surged, signaling capex and data center growth opportunities.

According to @CNBC, SpaceX will supply Reflection with AI compute worth up to $6.3B, signaling massive GPU demand and data center scale.

According to @satyanadella, Azure hit fastest training time at largest scale for a leading LLM benchmark, citing full stack co-design with Nvidia.

According to @_avichawla on X, Flash KMeans achieves 33x over cuML and 200x over FAISS by removing GPU IO bottlenecks and enabling millisecond iterations.

According to TheRundownAI, Nvidia hit a $5.5T market cap, as Jensen Huang said growth is inevitable, signaling strong AI infrastructure demand.

According to @soumithchintala, Thinking Machines is hiring supercomputing engineers for real time models, Tinker, and large scale training in NYC and SF.