Speaking of the future of computing, Jensen Huang, chief executive officer of NVIDIA, said that things will change in a very big and a very big way. Recently, the tech wizard was giving an interview where he explained his opinions of how we will perceive and use computers based on a fundamental change in our coming years.
The world is moving tremendously in the world of technology with the vast majority of the world not being conscious about it. In the backstage, it is making giant strides in developing some of the most radical technologies of all time in human history. This implies that some of the most fundamental components of daily living such as phones and computers may not be recognizable within a couple of years. Nvidia chief executive officer, Jensen Huang, summarized a tectonic shift in technology into a short proclamation during his keynote speech at VivaTech 2025, an event in Paris: “Computing is going to fundamentally change the way you think about computers in the future.”
These are big words said by Huang, who is, currently, quite an influential figure in his position, but not the only reason as he has a track record of being a disruptor in the semiconductor industry as well as artificial intelligence (AI). As co -founder and CEO of Nvidia (NVDA), Huang has led the company to the heights of becoming the most valuable semiconductor company in the world with a market capitalization of more than 3 trillion dollars today, having started up small in the year 1993. During his tenure, Nvidia is now synonymous with the AI revolution, having been instrumental in all kinds of developments, including self-driving cars and a revolution sweeping science.
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When speaking of large language models (LLMs) such as ChatGPT, Huang added, “We require 30 and 40 times more performance since the reasoning models chat themselves up. Now it is a reasoning model, and it produces a gazillion more tokens, rather than one-shot ChatGPT.” Huang went on to say that such models as those of thinking and reasoning perform amazingly well but take much more processing power. And what is the upshot of it? NVLINK 72 that is based on the architecture of Blackwells.”
The specific view outlined by Huang is extremely credible, as he is directly involved in one of the most innovative works in the sphere of hardware, like Nvidia Blackwell-new chips. The chips were announced as the new GB200 NVL72 system, which will provide a breakthrough in computational power, as they will serve the needs of new-generation AI models. The Blackwell architecture allows high speed and efficiency like never before, and facilitates complex reasoning, which is multi-step problem solving capabilities that characterize the current AI systems.
- Future of Computing According to Jensen Huang: Jensen Huang, CEO of Nvidia, predicts a fundamental and significant change in how we perceive and use computers in the coming years, driven by advancements in technology.
- Rapid Technological Development and Disruption: The technology sector is making enormous strides behind the scenes, potentially rendering current devices like phones and computers unrecognizable in the near future.
- Impact of Large Language Models (LLMs) on Computing Power: Huang emphasizes that LLMs such as ChatGPT require 30 to 40 times more performance, significantly increasing the demand for more powerful hardware.
- Nvidia’s Hardware Innovations for AI: Nvidia’s Blackwell chips and architecture enable high-speed, efficient processing designed to meet the needs of advanced AI models and reasoning capabilities.
- Huang’s Vision and Leadership in Tech Evolution: With a background of rising from humble beginnings to leading Nvidia’s innovative breakthroughs, Huang’s forecast reflects a future where computers become integral to reasoning and discovery.
Huang thinks that AI is mostly restricted by the software and its processing potential. The mainstream Nvidia NVLINK, Blackwell architecture and NVLink Spine have bandwidth of 130 terabytes per second and which according to Huang is more than that of the peak traffic of the entire internet of the world. This is only in one of their $3 million systems, the GB200 NV L72 rack of Nvidia, and giants such as OpenAI, Microsoft (MSFT), Google (GOOGL) (GOOG), and many others might possess tens, or even hundreds of these all over the world. This reveals the magnitude at which the internet and AI will be utilised in the short-time.
The background of the Huang statement is the emerging importance of the so-called reasoning models in AI, modelings by means of which simple input-output tasks are performed notwithstanding extended to the processes that might be similar to logical deduction, sequencing, and autocritique. As opposed to the traditional language models, the new enhanced models are able to decompose tasks, consider numerous solutions to a problem and even criticize their own final result, which involves exponentially more computational resources. To handle these despite workloads, Nvidia has designed its Blackwell chips which are enhanced in their processing capability and have high-speed interconnects to enable real-time reasoning of large scale AI in both enterprises and in research institutes.
Huang has a past story in which he started small in Taiwan and the United States and rose to be the most influential technology leaders in the world, a story that adds more credence to him. Nvidia has been on the top of the heap since the benefits of AI were realized early in his life and his unending drive to pursue innovation. Due to the development of increasingly sophisticated AI systems tasked with the completion of increasingly complicated types of reasoning, the statement issued by Huang regarding the transformation of our relationship with technologies currently represented by the computer device cannot only be considered a prediction, but it can serve us as a sort of guide based on the experience of the last decades of successful leadership and the compilation of technical skills and expertise offered by the author.
In today, when the use of AI is dramatically transforming businesses and everyday existence, the vision of Huang looks like an echo of contemporary tendencies as well as a direction of the future. The period he writes about is the time when computers are no longer merely tools, but rather brainstorming companions in the reasoning process and discovery – a future that Nvidia latest technologies are bound to bring.
Caleb Naysmith, as of the date of publication, owned (or belonged to) no stock, whether directly or indirectly, in any of the securities herein named. The whole information and data provided in this article is just an informational one. It was first published in this article. Barchart.com
