The 10 Hottest Semiconductor Startups Of 2024 (So Far) (crn.com)

From Celestial AI to Taalas, these startups are seeking to challenge Nvidia’s AI computing dominance or find other areas ripe for disruption in the semiconductor industry. 

Nearly two years ago, the semiconductor industry received a jolt of newfound interest when the world woke up to the game-changing capabilities of generative AI and the powerful chips that make it possible. While the biggest beneficiary of this interest has been Nvidia, a variety of startups have sought to challenge the AI chip giant or find other areas ripe for disruption.

[Related: Analysis: As Nvidia Takes AI Victory Lap, AMD Doubles The Trouble For Intel]

While the risk remains high for semiconductor startups—which typically have much higher costs than early-stage software firms—they could benefit from expectations that the industry could grow as much as 20 percent this year, in part because of strong demand for AI chips.

This leaves rooms for AI chip startups like Cerebras Systems, Hailo and Kneron to capture some of that projected growth in spending, which was forecasted by research firm IDC in December. Other semiconductor startups looking to disrupt the way chips are designed for AI computing include Celestial AI, Eliyan, Rivos and Tenstorrent.

What follows are CRN’s 10 hottest semiconductor startups of 2024 so far, which, in addition to the aforementioned startups, also include MetisX, SiMa.ai and Taalas.

The 10 Hottest Semiconductor Startups of 2024 for CRN

- Celestial AI

- Cerebras Systems

- Eliyan

- Hailo

- Kneron

- MetisX

- Rivos

- SiMa.ai

- Tenstorrent

- Taalas

Details about MetisX

Top Executive: Jim Kim, Co-Founder and CEO

MetisX aims to make data centers “smarter, faster and more cost-effective” by developing intelligent memory systems based on Compute Express Link (CXL) technology.

The Seoul, South Korea-based startup announced in May that it has raised a $44 million Series A funding round from a variety of investors and said it planned to establish a U.S. presence and introduce a chip next year aimed a hyperscaler customers.

The company said it has already completed prototypes for use cases in large-scale data processing such as vector databases, big data analysis and DNA analysis. It reported finding such prototypes doubling the performance of conventional server CPUs.

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