ADTechnology, Korea’s largest semiconductor design house, has entered a development partnership with Euclyd, a leader in ultra-efficient AI computing, to bring Euclyd’s revolutionary CRAFTWERK datacenter solution to silicon.
CRAFTWERK is a high-performance AI semiconductor in a compact, palm-sized form factor. It features many custom VLIW/SIMD (Very Long Instruction Word / Single Instruction Multiple Data) processors. The VLIW/SIMD architecture allows for the parallel processing of multiple data streams using a single instruction, making it ideal for large-scale AI inference workloads.
The CRAFTWERK family of systems is expected to ultimately deliver up to 8 PFLOPS (FP16) or 32 PFLOPS (FP4) of compute performance, and integrate 1 terabyte (TB) of custom Ultra-Bandwidth Memory (UBM), achieving memory bandwidth of up to 8,000 TB/s. This compact yet powerful configuration sets a new benchmark in datacenter AI performance and efficiency.
Under this agreement, ADTechnology will act as a key implementation partner. The company is responsible for backend design and coordination of the manufacturing process, serving as a certified Design Solution Partner (DSP) under Samsung Foundry’s FinFET process technologies.
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“We founded Euclyd to dramatically reduce the cost, power drain, and physical footprint of core AI datacenter compute solutions by reimagining the entire stack from scratch,” said Bernardo Kastrup, CEO of Euclyd. “Our collaboration with ADTechnology brings us one step closer to making this vision a reality in silicon.”
“We are excited to support Euclyd as they bring the world’s first agentic AI silicon to market,” said Jun-Kyu Park, CEO of ADTechnology. “As Korea’s largest design house, we bring deep expertise in advanced SoC implementation and will ensure a smooth transition from RTL to manufacturing.”
“We’re pleased to see innovators like Euclyd collaborating with Samsung’s proven FinFET technology through trusted partner ADTechnology,” said Taejoong Song, Vice President of Foundry Technology Planning at Samsung Electronics. “We look forward to the successful development of next-generation processors powering AI data centers.”
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