NVIDIA

Huawei is expanding into the global AI chip market, targeting the Middle East (UAE, Saudi Arabia) and Southeast Asia (Thailand) with its Ascend 910B chip, challenging NVIDIA. To attract clients, it’s promoting its CloudMatrix 384 super AI server, powered by the Ascend 910C chip. This server integrates 384 Ascend NPUs and 192 Kunpeng CPUs, offering high throughput (2,300 tokens/sec) and massive scalability (up to 160,000 cards). It supports stable, resilient operation. While highlighting its AI cloud services as ideal for large models, Huawei is not exporting the Ascend 910C overseas due to supply constraints, prioritizing Chinese firms impacted by US restrictions. (98 words)

Nvidia reached a $4 trillion market valuation milestone, becoming the first company to achieve this feat as shares closed at $163.90. Its cap now surpasses the combined markets of the UK, France, and Germany, exceeding Microsoft and Apple. This 800% surge since 2021 stems from insatiable AI chip demand from tech giants building data centers, with Wall Street analysts projecting potential for $6 trillion amid eased export concerns.

OpenAI is diversifying its AI infrastructure by utilizing Google’s TPUs alongside NVIDIA GPUs, as part of its drive for computational power, including for ChatGPT. This move, motivated by cost management and infrastructure diversification, could boost the profile of Google’s TPUs as an alternative to NVIDIA’s GPUs. The partnership, however, shows competitive dynamics, with Google limiting access to its most powerful TPUs.

Nvidia’s market cap has reached $3.77 trillion, making it the world’s most valuable company. Loop Capital analyst Ananda Baruah forecasts a $6 trillion market cap, setting a $250 per share price target, driven by the “golden wave” of AI adoption. He projects $2 trillion in spending on AI by 2028, with hyperscale cloud providers shifting to non-CPU computing (50-60% by year-end) and the upcoming Blackwell chip production fueling further growth.

Nvidia briefly surpassed Microsoft as the world’s most valuable company, fueled by a surge in its stock price driven by strong AI demand and a Loop Capital price target increase. Tesla’s AI efforts, including its robotaxi project and Optimus humanoid robot, contributed to its stock gains. While promising, analysts urge caution regarding Tesla’s long-term AI ventures, particularly Optimus, due to uncertainties surrounding its production and market competition.

Nvidia CEO Jensen Huang has begun a planned stock sell-off, disposing of 100,000 shares for $14.5 million. This is part of a previously disclosed plan to sell up to 6 million shares. Although the sales represent a tiny fraction of his vast holdings, they are expected to continue. Board member Mark Stevens has also been selling his shares.

AMD CEO Lisa Su is challenging NVIDIA’s dominance in the booming AI chip market. AMD’s new MI355 chips reportedly outperform NVIDIA’s offerings in AI software execution and offer a price advantage. Su forecasts the AI chip market will exceed $500 billion. OpenAI will utilize AMD’s chips, and the company aims to significantly expand its market share, though NVIDIA currently leads with substantial revenue. The MI series is pivotal for AMD’s growth.

TSMC is developing CoPoS, a next-gen chip packaging technology using large panel substrates (up to 310x310mm), expanding upon CoWoS. CoPoS, featuring an interposer for improved signal integrity, is slated for pilot production in 2026, mass production by late 2028/early 2029. It targets high-end applications needing robust power delivery, potentially replacing CoWoS-L, with NVIDIA likely as an early adopter. Interposer materials will move toward glass.

Samsung’s 12-layer HBM3E memory is facing delays in obtaining NVIDIA certification, potentially pushing the timeline to Q4 2025. This setback for the tech giant, which previously aimed for earlier certification dates, could impact its market strategy and revenue. Meanwhile, competitors like Micron are poised to gain market share, as they are actively pursuing HBM3E opportunities, notably with NVIDIA’s GB300 project.

Nvidia’s Chief Scientist Bill Dally suggests U.S. export restrictions on China’s AI sector may have unintentionally boosted China’s capabilities. He notes skilled Chinese researchers are now working for Huawei, fostering indigenous AI solutions. Restrictions have created a localized ecosystem, increasing China’s share of high-end AI researchers. Though China may lag in hardware, it possesses significant intellectual capital. The policy has propelled Huawei’s growth, eliminating key rivals and fostering competitive software solutions.