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Nvidia’s AI Surge: Q4 Earnings, Next-Gen Chips, And A Bold Vision For The Future

Nvidia has once again outperformed expectations, riding high on the relentless demand for artificial intelligence. In its Q4 earnings report, the chipmaker delivered a stunning 78% revenue surge, with quarterly revenue hitting $39.33 billion—well above the $38.05 billion forecast. For the full fiscal year, revenue skyrocketed 114% to an impressive $130.5 billion, underscoring Nvidia’s dominant position in the AI revolution.

Looking ahead, Nvidia is projecting first-quarter revenue of around $43 billion, give or take 2%, a clear signal that the growth momentum is set to continue. A major driver behind this performance is the rapid ramp-up of Nvidia’s next-generation AI processor, Blackwell. CFO Colette Kress described the anticipated sales “ramp” for Blackwell as the fastest in the company’s history, with $11 billion already recorded in Q4—primarily led by large cloud service providers, which now account for over 90% of Nvidia’s total revenue.

Nvidia’s strategy is shifting from merely training AI to powering inference, where its chips process real-time AI applications. “Long-thinking, reasoning AI can require 100 times more compute per task compared to one-shot inferences,” Kress noted, highlighting that the vast majority of compute power currently deployed is for inference tasks. CEO Jensen Huang added that while next-generation AI models might demand millions of times the current capacity, the real challenge is in deploying the right chip—not just designing one.

Beyond AI, Nvidia continues to diversify its portfolio. The company’s data center revenue, which reached $35.6 billion—up 93% from a year ago—remains the star of its business, even as its gaming division reported a modest $2.5 billion in sales, down 11% year-over-year. Meanwhile, automotive sales climbed 103% to $570 million, and Nvidia’s networking segment contributed $3 billion, despite a slight 9% decline compared to last year.

In a show of confidence, Nvidia has returned substantial value to shareholders, repurchasing $33.7 billion in shares in fiscal 2025. This bold financial maneuver, combined with strong operational performance, sets a promising tone for Nvidia’s continued dominance in the AI space well into 2025 and beyond.

Nvidia’s robust Q4 results and ambitious forward guidance highlight a clear message: as the world leans further into AI, Nvidia is not only ready to meet that demand but to redefine the very architecture of the digital future.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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