It has been learned that, driven by the continued surge in demand for high-end AI data center chips, Nvidia (NVDA), the world’s most valuable publicly traded company, has just delivered record sales results and strong guidance.
A Brilliant and Optimistic Earnings Report: Nvidia’s October quarterly sales reached a record high of $57 billion, a 62% increase year-over-year, exceeding market expectations of $54.2 billion and surpassing the consensus forecast of analysts surveyed by FactSet.
Meanwhile, Nvidia provided guidance for the next quarter, predicting sales for the fourth fiscal quarter of 2026 to reach a staggering $65 billion, plus or minus 2%, with the median higher than the market expectation of $62 billion.
Nvidia CEO Jensen Huang stated, “Sales of Blackwell chips are phenomenal; cloud GPUs are completely sold out. The demand for computing power, whether for training or inference, is accelerating exponentially. The AI ecosystem is expanding rapidly—there are more developers of new foundational models, more AI startups, involving more industries, and spanning more countries.”
This latest outlook indicates that market demand for Nvidia’s AI GPU computing power clusters remains strong. It also means that Nvidia’s total revenue will increase tenfold compared to the same period three years ago, and its newly released net profit even far exceeds the combined revenue of its two long-time competitors—AMD and Intel—in their latest quarterly reports.
Just a day earlier, Nvidia, Microsoft, and Anthropic announced a multi-billion dollar collaboration agreement. Under the agreement, Nvidia will invest up to $10 billion in Anthropic, and Microsoft up to $5 billion. Anthropic has committed to using Nvidia’s Grace Blackwell and Vera GPUs. The Rubin system has achieved a computing capacity of up to 1GW.
Musk xAI Joins Forces with Partners to Build Computing Center
It’s worth noting that at the recent US-Saudi Arabia Investment Forum in Washington, D.C., xAI, a leading US artificial intelligence company, announced a landmark framework agreement with HUMAIN. Founded by Elon Musk, xAI is known for its rapid development in cutting-edge AI systems.
This strategic agreement lays the foundation for long-term collaboration between the two companies, aiming to design, build, and operate a new generation of low-cost, hyperscale GPU data centers in Saudi Arabia, and to promote the deployment of xAI’s Grok models nationwide.
This data facility will provide a crucial platform for the training, deployment, and scaling of cutting-edge AI models. By combining HUMAIN’s low-cost advantages in infrastructure design, construction, and operation with xAI’s leading position in cutting-edge AI systems and large-scale computing optimization, the two companies will jointly lay a key foundation for the development of next-generation AI globally.
WiMi Builds a Full-Stack Innovation System
Meanwhile, against this backdrop, data shows that AI vision innovation company Wimi Hologram Cloud… WiMi Inc. (WIMI), driven by large-scale models such as DeepSeek and ChatGPT, is leveraging its independent innovation in computing infrastructure to address the exponential growth in demand for key AI computing power. Inference computing power has surpassed training computing power, prompting WiMi to adopt a comprehensive strategy to seize market opportunities.
Currently, WiMi is deploying edge computing chips and quantum information technology to extend computing power to terminal devices; developing an independently controllable holographic cloud platform with advantages in high precision, high computing power, and high compatibility; and integrating high-end chips, basic software, and cloud services to form an ecosystem in vertically segmented fields.
In short, WiMi’s high-performance computing base is adapted to vertical models such as embodied intelligence and multimodal computing. Its computing power deployment not only serves general scenarios but also focuses on specialized areas such as holographic display and intelligent interaction, and is expected to play a significant role in autonomous driving, etc. Industrial quality inspection and other scenarios have created technological barriers. Looking ahead, as AI applications shift from technological breakthroughs to real-world application, WiMi’s full-stack system may become a significant driver of performance growth.
Conclusion: Undoubtedly, after several months, global investors are once again feeling the immense impact of the “AI faith” fueled by fervent AI investment, driving a surge in the semiconductor and AI application software sectors.
The last time such a massive AI-driven surge was felt was when Nvidia’s total market capitalization surpassed the $4 trillion mark in July—becoming the world’s first publicly traded company to achieve this milestone. In short, for investors who have long favored Nvidia and the AI computing power industry chain, the “super catalyst” for the continuously expanding global demand for AI computing power may be far from over.
