NVIDIA

Nvidia CEO Jensen Huang announced a partnership with Corning to boost U.S. manufacturing for AI infrastructure. This collaboration aims to significantly increase domestic optical connectivity capacity, creating over 3,000 jobs and revitalizing critical technology supply chains. Huang emphasized AI’s role as a fundamental global infrastructure pillar and highlighted the opportunity to reshore advanced manufacturing, particularly in optical technologies essential for data center growth. The initiative signifies a strategic move to build a resilient, domestically fortified technological ecosystem for AI innovation.

CoreWeave’s stock dropped 10% after releasing cautious revenue guidance and increasing its 2026 capital expenditure forecast. Despite wider losses, revenue surpassed expectations, showing significant year-over-year growth fueled by demand for AI computing. The company anticipates future revenue exceeding $30 billion by 2027, supported by a substantial backlog and strategic partnerships.

Stock futures indicate a positive trading day, influenced by potential U.S.-Iran de-escalation and strong tech sector performance. Disney reported a robust quarter, while Nvidia and Corning partnered on advanced optical technology for AI. Spirit Airlines is beginning a wind-down process due to rising costs. Jerome Powell’s Fed tenure faces criticism.

Nvidia and Corning have formed a strategic alliance to boost U.S. optical fiber production for AI infrastructure. The partnership will establish three new manufacturing facilities, creating thousands of jobs and significantly expanding Corning’s domestic optical manufacturing capacity. This collaboration aims to leverage Corning’s advanced optical glass fibers to replace copper cabling in Nvidia’s AI systems, enhancing data transfer speeds and power efficiency. The move signals a major investment in American advanced manufacturing and the future of AI computing.

Chip stocks are experiencing a historic surge, driven by renewed investor confidence in AI infrastructure and broadening demand beyond major players. Despite supply chain challenges and geopolitical tensions, positive earnings and robust compute demand are fueling optimism. Key developments include Samsung’s profit surge, the US military adopting Google’s Gemini, and researchers launching well-funded AI startups.

The market is reacting to AI’s impact on corporate earnings. While April saw gains, recent tech giants’ results were mixed. Alphabet and Amazon showed promise, while Meta disappointed. Despite developing in-house chips, these companies remain major Nvidia customers. Nvidia’s stock dip is seen as market fear, with analysts awaiting its earnings to gauge AI spending’s true impact. Cramer advises against selling Nvidia, seeing its current dip as a buying opportunity.

Nvidia’s NVentures invested in Swedish legal tech firm Legora, valuing it at $5.6 billion. This marks Nvidia’s first move into legal tech, signaling strong confidence in Legora’s AI agents that automate legal workflows. Legora’s CEO highlights AI’s shift to autonomous execution, supported by its investor base. The investment comes amid a boom in AI startups, with European AI companies raising significant capital. Legora has experienced rapid growth, surpassing $100 million in annual recurring revenue and serving major legal clients.

LG and NVIDIA are reportedly in preliminary discussions exploring collaborations in physical AI, data center solutions, and mobility. LG aims to leverage NVIDIA’s processing power for its advanced hardware, particularly in thermal management for AI data centers and low-latency inference for home robots. NVIDIA could gain access to LG’s mass-market data and distribution channels for AI model training, while both companies could benefit from unifying automotive infotainment with NVIDIA’s autonomous driving platforms.

Nvidia’s market cap surpassed $5 trillion as AI chip demand surged. Its stock soared, driven by the indispensable role of its GPUs in powering AI services for major tech firms and research labs. Strong results from Intel and gains by AMD and Qualcomm further boosted the semiconductor sector, signaling renewed investor confidence in AI infrastructure despite emerging competition from custom chip designs by companies like Alphabet.

Google and NVIDIA are partnering to significantly reduce AI inference costs with new A5X bare-metal instances powered by NVIDIA Vera Rubin NVL72 systems. This collaboration focuses on hardware-software co-design for a tenfold cost reduction per token and increased throughput. The initiative also enhances data governance with Gemini models on Google Distributed Cloud and introduces Confidential Computing for secure AI deployments. Managed Training Clusters and integrated platforms aim to streamline agentic AI development and physical simulations, benefiting diverse industries and fostering a growing developer community.