For those who were fortunate enough to attend, the NVIDIA AI Summit offered an invaluable opportunity- hearing from a visionary who has shaped the global IT industry as we know it today- NVIDIA’s CEO, Jensen Huang. The signature black leather jacket and the unrelenting optimism for the future of AI and computing make Jensen Huang stand out as a master technologist. His keynote and the fireside chat that followed were the summit’s true high points, packed with insight and inspiration. We deep dive into the keynote speech that spotlighted the historical trajectory of the industry and the transformative future that lies ahead.
The shifting winds in computing:
“The [IT] industry is going through fundamental changes, seismic changes..”, Huang began as he positioned India at the center of this global tectonic shift. He took the audience to where it all began, to 1964, when IBM system 360 introduced the world to general-purpose Computing and laid the foundation for modern computing. The invention of the system 360 and Moore’s law, built the foundation upon which every industry in the world was built. As “the free ride of Moore’s law” reached its limits, the industry now experiences a “computing inflation” era. It is at this juncture that NVIDIA was born, driven by a vision to accelerate software and democratize accelerated computing, pioneering with CUDA software and Graphical Processing Units (GPUs). He emphasized a need to move beyond the reliance on passive software. NVIDIA’s arrival at this pivotal moment accelerated computing, making real-time computer graphics a reality, and shaped the trajectory of the industry.
From software 1.0 to 2.0:
The advent of Machine Learning has drastically changed the way we do software, over the decade. While traditional ‘software 1.0’, relies on programmers manually coding algorithms on Python, Fortran, Pascal or C++, machine learning uses a computer to study the complex patterns and relationships of massive amounts of observed data to discern the output. The world has witnessed the reinvention of the entire computing stack, shifting focus from building software to building artificial intelligence.
Huang showcased a key part of NVIDIA’s flagship Blackwell GPU called NVLink Switch on stage. The Blackwell system, a key enabler of this transition, has made it possible to study data at an enormous scale, uncover intricate relationships, and most importantly, learn the meaning of the data. From text and numbers to particle physics, this system has enabled us to represent information in diverse modalities. This key invention is behind the Cambrian explosion of startups in the industry that are engaged with translating data into new forms, or as Huang called it “a universal translator of information”.
The Two Scaling Laws:
What defines intelligence? This is the question that drove the next part of Huang’s talk. He demonstrated how the scaling law underlying LLMs provides a key insight. The more data you have to train an LLM, the correspondingly large the model size, and the larger the model has to be. Each year the amount of data and model size is increased by a factor of 2 so the computation power has to increase by a factor of 4. Now moving technology at a rate of four times every year over ten years. This exponential growth reflects how AI gets smarter as we scale up the training size. He used ChatGPT as an example- a one-shot prompt, triggers a very large neural network and provides a sequence of answers. However, he noted that true intelligence requires deeper “thinking”, which leads to even better answers. This has led to the discovery of another scaling law, where inference drives technological development. These two core scaling laws are shaping the rapid advancement of AI.
“NVIDIA is AI in India”:
“In order to build an AI ecosystem in any industry, you have to start with the ecosystem of the infrastructure” Huang, pointed out, highlighting NVIDIA’s partners in India, like E2E Cloud. He projects that India will soon have 20x more computing than elsewhere. While India focuses on IT operations, the next generation will center on AI delivery. Huang believes that once India masters large language models, it can be replicated globally.
E2E Cloud in the AI Revolution:
Where does E2E find itself in the AI revolution? Being a pioneer of cloud computing in India, E2E Cloud has grown to strengthen the IT ecosystem in the country, helping businesses leverage high-performance, scalable infrastructure to develop custom AI models. We support enterprises in India, the Middle East, the Asia-Pacific region, and the U.S. with GPU-powered cloud servers, featuring NVIDIA Hopper GPUs and Quantum-2 InfiniBand networking. This enables customers to meet demands for high-compute tasks like simulations, foundation model training, and real-time AI inference. By bringing the latest NVIDIA H200 GPUs to India, E2E Cloud is charting a new course in accelerated computing in the country. As we stand at the cusp of a new AI Revolution, E2E is confidently leading the front as India’s foremost AI-focused Hyperscaler.
Jensen Huang’s keynote speech left the attendees with a new surge of inspiration. He unveiled a blueprint for tomorrow where AI isn’t humanity’s replacement, but rather a renaissance where human ingenuity and artificial intelligence, each amplify the other’s strengths. And that’s not just exciting – it’s revolutionary!
https://www.e2enetworks.com/blog/towards-a-tech-ren-ai-ssance-insights-from-jensen-huang
