As investors focus on Nvidia earnings, other chip startups hope to eventually gain some of the AI space from the chip maker.
With investors focused this week on chip designer Nvidia Corp. and its expected surge in sales and earnings related to its chips to power AI applications in data centers, some may be looking for other chip companies to bet on.
“We have customers begging to work with us, wanting to pilot in first half of next year,” said Sid Seth, co-founder and chief executive of Santa Clara, Calif.-based d-Matrix, a designer of power-efficient chiplets. “There are a lot of customers interested. Nvidia cannot make enough, it is too expensive. People are looking for something to change the economics. Customers tell me if I had a product, they would buy it immediately. We are running as fast as we can to get this in customers hands.
“I really think, let’s call it the next three years, Nvidia will dominate in the data center,” Freund told MarketWatch. “And perhaps all the startups combined could get 5, 10 to 15% market share at most in the next three or so years.” He said more startups are focused on AI at the edge, which is more power efficient and not as compute intensive.
So far in 2023, investors have poured $1.06 billion in 97 funding deals for AI and machine learning-related chip makers. A few companies are more established, having been around for several years now, with unicorn-level valuations above $1 billion, such as Cerebras Systems, co-founded by Andrew Feldman.
Another AI hardware company getting a lot of traction is Tenstorrent, which just raised an additional $100 million in funding from investors including Samsung 005930, +0.75%, LG Electronics 066570, -0.10% and Hyundai 005380, -0.21%, for a total of $350 million in funding. Tenstorrent develops a system based on RISC-V architecture, the open-source version of RISC architecture that is a rival Arm’s proprietary version of RISC.
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