NVIDIA

The Trump administration faces an August 1st deadline to finalize its AI framework, requiring federal agencies to plan for an executive order mandating voluntary government evaluation of advanced AI models. Tech leaders are lobbying for influence, while debates intensify over regulating “open-weight” models, particularly those from China. Nvidia’s Jensen Huang, supported by Elon Musk and major tech firms, urges against premature restrictions. The administration aims for rapid, safe AI deployment under an “America First” principle.

SK Hynix achieved record quarterly profits, driven by surging demand for AI hardware. Despite narrowly missing analyst expectations, year-over-year revenue and operating profit saw remarkable growth, reflecting strong sales of High Bandwidth Memory (HBM) chips. The company’s HBM3 and upcoming HBM3E variants are crucial for AI accelerators. A significant multi-year deal with Nvidia underscores SK Hynix’s vital role in the AI revolution and its strong position for continued growth in the advanced computing sector.

Apple briefly surpassed $5 trillion in market capitalization, overtaking Nvidia to become the world’s most valuable company. This surge is attributed to investor confidence in Apple’s measured AI strategy, contrasting with the heavy spending of other tech giants. Despite inflation, Apple’s stock has climbed, bolstered by initiatives like its iPhone leasing program. This milestone occurs as Tim Cook prepares to step down as CEO.

Apple has overtaken Nvidia to become the world’s most valuable company again, with a market capitalization of $4.95 trillion compared to Nvidia’s $4.77 trillion. Nvidia’s shares declined due to investor concerns about AI buildout costs, while Apple’s rose ahead of its earnings report. Apple’s strategic approach to AI, focusing on leasing cloud capacity rather than heavy infrastructure investment, has appealed to investors. The market is increasingly looking beyond GPUs to memory chips and other data center components for AI growth.

Jim Cramer likens the AI boom’s current phase to the dot-com bubble, citing reports of Nvidia possibly financing a massive OpenAI data center project. He warns against circular financing models where suppliers effectively lend to customers, reminiscing about the unsustainable practices of the late 1990s. While not predicting a crash, Cramer emphasizes the risk if end-users like OpenAI cannot afford the technology.

OpenAI is in advanced talks with Nvidia for a potential $250 billion financing backstop to fund a massive 10-gigawatt AI data center in Ohio. This deal, leveraging Nvidia’s credit, would secure debt for construction and leases. Discussions for Nvidia chips are separate. The ambitious project stems from OpenAI’s rapid growth and the fierce AI competition, aiming to build a colossal infrastructure costing over $500 billion.

Nvidia has secured a $500 billion deal with South Korea’s SK Hynix for a critical supply of AI memory, ensuring components for its processors and AI systems. This partnership also initiates large-scale data center construction by 2027 and includes SK Telecom developing a cloud business with Nvidia’s systems. Nvidia is also investing $1 billion in Korean cloud company Naver, bolstering AI infrastructure development beyond hyperscale providers.

Super Micro Computer’s shares surged 15% after announcing higher-than-expected June quarter margins, driven by strong AI server demand. The company anticipates gross margins of 15%-17%, a significant increase from prior guidance. Record backlog and over $60 billion in new orders for fiscal year 2026 signal a robust future, with revenue projected at the lower end of $11-$12.5 billion.

Nvidia is challenging Intel and AMD in the AI server CPU market with its new “Vera” chip. Designed for AI agents, Vera offers significant performance gains by prioritizing single-core speed and memory bandwidth. This move signals Nvidia’s strategy of vertical integration, aiming to provide complete, optimized hardware solutions for AI workloads, from GPUs to CPUs. While adoption among major cloud providers is a hurdle, key AI research firms are already deploying Vera, indicating its potential to reshape the competitive landscape.

Bristol Myers Squibb is enhancing its drug discovery capabilities by acquiring NVIDIA’s DGX SuperPOD with Vera Rubin architecture. This investment provides advanced computing power for training AI models, predicting compound behavior, and accelerating therapeutic innovation. The system will democratize access to AI tools for researchers worldwide, significantly streamlining the R&D pipeline and enabling faster, more efficient evaluation of potential drug candidates.