Samsung Funds an AI Chip Challenger, but Nvidia Has Not Been Beaten
Euclyd
A Dutch startup designing AI chip systems.
GPU
A powerful computing chip used for many AI tasks.
inference
Using a trained AI model to produce an answer.
What happened
Samsung Electronics, the large South Korean technology company, joined a funding round for Euclyd, a Dutch AI chip startup. The round raised about 200 million euros, or roughly 230 million dollars. Samsung co-led it with Somerset Capital Partners, the Scaleup Europe Fund managed by EQT, and Innovation Industries. The details were reported by CNBC.
Founded in 2024, Euclyd is designing an AI chip system with a different architecture from GPUs. It targets inference, which means using a trained AI model to produce an answer. The design includes both the processor and the memory system.
Why alternatives to GPUs are attracting money
Nvidia’s GPUs were first built for demanding graphics work, including video games. They were later adapted for AI model training and inference. That helped Nvidia become the leading supplier of high-end AI chips.
AI data centers now need enormous amounts of computing power. They also need infrastructure that keeps costs under control. Euclyd says its approach can reduce the energy and cost needed to run AI systems. Its design changes more than the calculator inside the chip. It also changes how the chip handles and stores data.
That idea matters because AI companies are looking beyond one standard design. Large cloud companies and startups are developing their own processors. OpenAI, Google, AWS, and Meta are among the companies named in the report. Their projects do not mean Nvidia has already lost its position. They show that companies want more choices for different AI jobs.
What Samsung brings
Euclyd CEO Bernardo Kastrup said Samsung can help in ways that go beyond money. Samsung is one of the world’s major memory manufacturers. It also has experience in engineering, systems, production, and supply chains. Those skills could help Euclyd move from a chip design to a complete rack-mounted system.
However, an investment is not the same as a purchase agreement. The announcement does not say that Samsung will deploy Euclyd’s systems across its operations. It confirms financial backing and a possible relationship, not large-scale adoption.
Why the deal matters
The AI chip race is becoming a race over efficiency. A faster chip is useful, but so is a chip that needs less electricity and costs less to operate. If Euclyd’s claims are later confirmed by independent tests, its approach could give businesses another way to run AI models.
The funding also gives a young European company more time to develop its technology. Still, funding cannot solve every semiconductor challenge. Euclyd must build reliable silicon, support useful software, manufacture at scale, and win customers.
What is confirmed, and what is not
The confirmed facts are the funding round, the participating investors, Euclyd’s focus on inference, and its two planned business paths. It wants to sell hardware and rack systems to enterprises. It also wants to license its technology to companies building their own chips.
Euclyd says it hopes to begin rolling out physical systems in 2028. It aims to serve thousands of enterprise customers by 2030. Those are company targets, not completed milestones. The report also says Euclyd’s systems have not yet been proven in large commercial deployments. Euclyd’s official website describes its efficiency and inference goals, but those descriptions are company claims rather than independent validation.
What to watch next
The next important evidence will be working hardware, independent performance tests, software support, manufacturing progress, and the first paying customers. The key question is simple: can Euclyd deliver its promised efficiency outside a company presentation?
For now, this is not a story about Nvidia being defeated. It is a story about a different AI chip design receiving serious financial support. The technology may become important, but the proof still has to come from real machines and real deployments.
Samsung Backs a Different AI Chip Design
📰 Full story: Samsung Funds an AI Chip Challenger, but Nvidia Has Not Been Beaten
Samsung invested in Euclyd, a Dutch startup building a new kind of AI chip.
Euclyd
A Dutch company building a different AI chip.
GPU
A powerful chip that performs many calculations.
inference
When a trained AI model gives an answer.
💡 The gist
- Samsung invested in Euclyd, a Dutch AI chip startup.
- Euclyd wants a different design from Nvidia’s GPUs.
- Its system is promising, but it is not proven at scale.
Samsung Electronics is a large South Korean electronics company. It joined a funding round worth about 230 million dollars. The round backed Euclyd, a Dutch company building AI chips. Euclyd was founded in 2024. Several investors led the round with Samsung. CNBC reported the deal.
Euclyd targets inference. Inference means an AI model gives an answer. A GPU is a powerful computing chip. Nvidia makes many GPUs used for AI work. Euclyd wants to use a different design.
Why does that matter? AI data centers perform many calculations. They also need affordable power. Euclyd says its design can lower energy use and costs. The design changes both the processor and the memory system. This could help companies run AI more cheaply. But this remains a company claim.
Samsung may offer more than cash. It makes memory chips. It also knows engineering, production, and supply chains. These skills may help Euclyd build a complete AI system.
The investment does not show that Euclyd beats Nvidia. Euclyd’s systems have not been proven in large commercial deployments. The startup hopes to begin rolling out physical systems in 2028. It aims to serve thousands of business customers by 2030. These are goals, not finished results.
Readers should watch for working hardware, outside testing, software support, and real customers. If Euclyd proves its energy and cost claims, it could give AI companies another choice. For now, the news means a different chip idea received major support. It does not mean Nvidia has lost its lead.
A New Helper for AI Computers
📰 Full story: Samsung Funds an AI Chip Challenger, but Nvidia Has Not Been Beaten
Samsung gave money to a small company making new computer parts for AI.
chip
A tiny part inside a computer.
Euclyd
A small company making new AI parts.
Nvidia
A large company that makes AI chips.
Samsung Electronics is a big South Korean electronics company.
It gave money to Euclyd, a Dutch chip company.
A chip is a tiny computer part.
Euclyd wants to make parts for AI computers.
AI computers can answer questions and do tasks.
Nvidia is a large company making AI chips.
Many AI computers use Nvidia’s parts today.
Euclyd wants to use a different design.
It hopes to use less electricity.
Samsung can help with memory parts and factory knowledge.
But Euclyd’s system is not proven yet.
It has not served many large business customers.
Euclyd hopes to start making systems in 2028.
It hopes to serve thousands of businesses by 2030.
Those are plans, not finished work.
So this is not a story about Nvidia losing.
It is a story about a new team getting help.