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Samsung waxay taageertaa Nvidia AI chip xifaaltanka $230 milyan wareega maalgelinta

Samsung waxay taageertaa Nvidia AI chip xifaaltanka $ 230 milyan ee maalgelinta wareega iyada oo beddelka GPU-da ay kobcinayso bilowga Dutch Euclyd, kaas oo dhisaya jajab loogu talagalay fikradda AI ee raadinaysa la xafiiltanka Nvidia, ayaa kor u qaaday $ 230 milyan wareega maalgelinta. Wareega waxaa wada hogaaminayay Samsung, Somerset Capital Partners, Scaleup Europe Fund iyo…

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Source-page capture accompanying Samsung backs Nvidia AI chip rival in $230 million funding round
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cnbc.comhttps://www.cnbc.com/2026/09/14/samsung-euclyd-ai-chip-funding.html
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Dutch startup Euclyd, which is building a chip for AI that seeks to rival Nvidia, has raised a $230 million funding round. The round was co-led by Samsung, Somerset Capital Partners, the Scaleup Europe Fund and Innovation Industries. Euclyd's systems have yet to be proven at scale in commercial deployments. 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.

Euclyd has raised a $230 million funding round, co-led by Samsung, Somerset Capital Partners, the Scaleup Europe Fund and Innovation Industries.

The company is targeting two revenue streams: selling hardware and physical rack systems to enterprise customers who want secure self-hosted AI , and selling its intellectual property to companies that want to develop their own chips based on pre-existing tech.

Euclyd's systems have yet to be proven at scale in commercial deployments.

The company is aiming to begin rolling out its physical chip systems in 2028, with thousands of enterprise customers being served by 2030.

Faahfaahinta isha: cnbc.com ↗

Maxay muhiim u tahay

The development of AI chips is a crucial aspect of the AI industry, as it enables faster and more efficient processing of AI workloads. The funding round for Euclyd is significant, as it demonstrates the growing interest in AI chip development and the potential for startups to challenge established players like Nvidia. The success of Euclyd's AI chip system could also have implications for the broader AI industry, as it could lead to increased competition and innovation in the field.

The development of AI chips is a crucial aspect of the AI industry, as it enables faster and more efficient processing of AI workloads.

The funding round for Euclyd is significant, as it demonstrates the growing interest in AI chip development and the potential for startups to challenge established players like Nvidia.

The success of Euclyd's AI chip system could also have implications for the broader AI industry, as it could lead to increased competition and innovation in the field.

The development of Euclyd's AI chip system could also have implications for the broader AI industry, as it could lead to increased competition and innovation in the field.

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Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
Privacy100% Air-GappedLocal device capability
Core takeaway: Small, quantized models (3B–8B) now run directly inside smartphones and laptops with complete data privacy, while mammoth 400B+ models remain the domain of datacenter clusters.
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Maxaa la daawan doona xiga

The development of Euclyd's AI chip system and its potential impact on the AI industry. The success of the funding round and the company's ability to scale its operations. The potential for Euclyd's AI chip system to challenge Nvidia's dominance in the market.

The development of Euclyd's AI chip system and its potential impact on the AI industry.

The success of the funding round and the company's ability to scale its operations.

The potential for Euclyd's AI chip system to challenge Nvidia's dominance in the market.

The potential for Euclyd's AI chip system to lead to increased competition and innovation in the AI industry.

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