In a joint announcement, Nvidia and SK hynix have revealed a new, multi-year technological collaboration aimed at creating next-generation memory for artificial intelligence systems and speeding up semiconductor design and manufacturing processes.
This partnership is established as Nvidia, a company valued at close to $5 trillion, sustains its rapid, AI-fueled growth, having seen its revenue surge by 71% over the past year. An analysis suggests the stock may be trading below its intrinsic value, ranking it among the more undervalued opportunities on the market.
Focus of the Collaboration
The agreement is designed to secure the supply of sophisticated memory components, which are critical for the extended development timelines, production, and significant capital investment needed to expand AI infrastructure.
As part of the deal, SK hynix will co-develop memory solutions for Nvidia's Vera Rubin AI supercomputers, Vera central processing units, RTX Spark-powered personal computers, and Jetson Thor platforms for robotics.
Executive Perspectives
Jensen Huang, the founder and chief executive of Nvidia, commented on the significance of the partnership, stating that AI factories are becoming the driving force of a new industrial age, where high-performance memory is a key component.
He acknowledged SK hynix as a vital partner that has been instrumental in providing the advanced memory technologies powering Nvidia's AI computing platforms.
Echoing this sentiment, Chey Tae-won, Chairman of SK Group, confirmed that the two firms are jointly working on the next wave of memory technology specifically for AI factories while also applying artificial intelligence to enhance semiconductor design and fabrication.
Technological Integration
SK hynix plans to leverage Nvidia's Omniverse platform, along with OpenUSD and cuOpt technologies, to create digital replicas, or "twins," of its manufacturing facilities. These digital models are intended to advance autonomous operations by optimizing tasks such as the coordination of autonomous mobile robots and other production assets.
The companies are also investigating methods to integrate these digital twins with current software and AI workflows. The goal is to enable AI systems to automate various tasks and refine decision-making processes within manufacturing environments.
Recent Industry Developments
In separate news, Nvidia has recently acquired Kumo AI, a startup focused on predictive AI software for businesses, in a deal reportedly exceeding $400 million. This move is aimed at bolstering Nvidia's portfolio of AI models and tailoring them for optimal performance on its hardware, thereby offering corporate clients greater customization.
Furthermore, Generalist AI, a robotics startup with backing from Nvidia, has secured $400 million in a funding round that valued the company at $2 billion. The capital injection, led by Radical Ventures, will support the development of sophisticated AI models to enable robots to manage intricate tasks.
In another strategic move, South Korea's LG Group has announced plans to deploy 10,000 Nvidia graphics processing units to train AI systems and aid in the development of a humanoid robot.
Concurrently, Navitas Semiconductor has entered into a collaboration with the NVIDIA MGX™ Ecosystem to progress 800 VDC infrastructure for AI, representing a notable advancement in data center technology.
On a wider market note, Ray Dalio, founder of Bridgewater Associates, has voiced apprehensions about a potential bubble forming in the AI sector, pointing to the difficulties companies encounter in managing expenditure while competing for market share. These recent events collectively highlight Nvidia's growing clout and its expanding network of alliances within the artificial intelligence industry.