
Samsung backs Nvidia AI chip rival in $230M funding round
"They are one of the biggest memory manufacturers in the world. They do a lot of engineering, they know a lot about systems, they know the supply chain, they have a huge network."Euclyd aims to begin rolling out its physical chip systems in 2028, with thousands of enterprise customers being served by 2030, Kastrup told CNBC.
- ▪"They are one of the biggest memory manufacturers in the world.
- ▪They do a lot of engineering, they know a lot about systems, they know the supply chain, they have a huge network."Euclyd aims to begin rolling out its physical chip systems in 2028, with thousands of enterprise customers being served by 20
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| Original publisher | CNBC |
| Canonical URL | https://www.cnbc.com/2026/09/14/samsung-euclyd-ai-chip-funding.html |
| Publication time | Tue, 15 Sep 2026 20:25:43 +0000 |
| Retrieval time | 2026-09-15T20:41:52.976Z |
| Last seen | 2026-09-15T20:41:52.976Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Io1gEi9VDe2i · 1 stories |
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| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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"AI is becoming a foundation of economic growth, scientific discovery and national competitiveness, but its potential will remain constrained unless we fundamentally change the infrastructure beneath it," said Kastrup.Euclyd's systems have yet to be proven at scale in commercial deployments.But the company said its silicon systems for foundational models will reduce the energy needs and costs of AI data center infrastructure, which is seeing a funding boom.The company is targeting two revenue streams: selling hardware and physical rack systems to enterprise customers who want secure self-hosted AI inference, and selling its intellectual property to companies that want to develop their own chips based on pre-existing tech."Samsung can help us in more ways than money," said Kastrup.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at CNBC.