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Nvidia CEO: AI Now Needs ‘100 Times More’ Compute Than At ChatGPT Launch

by News Editor

February 27, 2025

Nvidia’s CEO Jensen Huang has set the stage for the future of artificial intelligence, highlighting that forthcoming AI technologies will require 100 times the computing power compared to their predecessors. This leap is fueled by advanced reasoning models that methodically ponder ‘how best to answer’ queries step by step.

Revolutionizing Reasoning With AI

In a recent conversation with CNBC’s Jon Fortt, Huang underscored the burgeoning demand for computing infrastructure, pointing to cutting-edge models like DeepSeek’s R1, OpenAI’s GPT-4, and xAI’s Grok 3 as pivotal catalysts.

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Financial Milestones And Market Challenges

Nvidia’s financial tome shines this quarter, with results outpacing analyst predictions—revenue soaring by 78% year-on-year to a staggering $39.33 billion. Notably, data center revenue surged by 93% to $35.6 billion, underscoring the paramount role of Nvidia’s GPUs in AI workloads.

Despite these figures, Nvidia’s stock remains in a slump, suffering a 17% decline on January 27—triggered by speculation that firms like DeepSeek might achieve superior AI performance at reduced infrastructure costs. Huang, however, advocated that reasoning models necessitate more sophisticated chips—a domain where Nvidia remains a trailblazer.

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Global Trade And Technological Advancements

Export restrictions are reshaping Nvidia’s footprint, especially in China, where revenues have halved. For developers, software innovations might circumvent these barriers, ensuring resilience across platforms, whether in supercomputers or personal devices.

Nvidia’s GB200, available in the U.S., outpaces its Chinese counterparts, producing AI content 60 times faster, offering significant advantages in AI technology evolution.

In the face of global constraints and rapid innovations, Nvidia remains the cornerstone of the AI revolution, driven by substantial infrastructure investments from tech giants worldwide.

The Future Forbes Realty Global Properties

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

by News Editor

August 6, 2026

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.

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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.