Tiny Dutch Chip Startup Euclyd Draws Samsung’s Backing in Bid to Challenge Nvidia

Dutch chip startup Euclyd has raised $231 million in fresh funding, with Samsung joining the round as a strategic backer. The young company is building a new class of inference chips aimed squarely at one of the hottest markets in tech: running large AI models efficiently and cheaply at scale.

According to reporting, Euclyd is targeting 2028 for volume production of its first inference processor. Rather than competing head‑on with Nvidia’s flagship training GPUs, the startup wants to undercut Nvidia on the deployment side—where cloud providers and enterprises are desperate to cut power bills and hardware costs for day‑to‑day AI workloads.

Samsung’s involvement suggests a broader play around manufacturing and memory integration, potentially giving Euclyd an edge in cost and supply. But Nvidia still enjoys a massive moat in software and ecosystem support, from its CUDA platform to an entrenched developer base. For Euclyd to convert technical promises into real market share, it will need not only compelling performance‑per‑watt, but also robust tools and partnerships that make it easy for AI companies to migrate away from Nvidia’s stack. The deal nonetheless highlights growing global pressure to diversify the AI hardware landscape.