By now it’s no secret that Nvidia has gone all-in on the idea of selling shovels to companies big and small that are manically digging in the.
The big picture: Nvidia’s new strategy is centered around generative AIs, large language models, and recommender systems, and so is its latest DGX supercomputer. The company believes these will soon form the „digital engines of the modern economy“ as companies like Meta, Google, and Microsoft are racing to realize the benefits of AI using Nvidia’s Grace, Hopper, and Ada Lovelace hardware architectures.
By now it’s no secret that Nvidia has gone all-in on the idea of selling shovels to companies big and small that are manically digging in the land of generative AIs in search of digital treasure. The company is well-positioned to capitalize on this trend and could very well become the first chipmaker with a $1 trillion valuation – more than double that of TSMC, the company that makes more than half of the world’s most advanced chips.
Nvidia’s announcements at Computex 2023 reflect this new strategy very well. Nvidia CEO Jensen Huang has revealed the company’s Grace Hopper GH200 super chips are now in full production, highlighting their potential for accelerating compute services and software for new business models and optimizing existing ones.
The new Grace Hopper super chip is a monster with 200 billion transistors
Huang says the tech industry has hit a hard wall with traditional architecture in recent years, which is why it’s been increasingly turning to GPUs and accelerated computing to solve complex computing tasks.
