
Sunlune develops high-performance compute hardware for Web3 and AI workloads that increases throughput and energy efficiency for large-scale AI applications. The company is a fabless semiconductor developer building next-generation AI ASICs using 3D logic-to-memory hybrid bonding to combine high bandwidth, high throughput, and power-efficient compute in a single package. Its technology targets data center and AI infrastructure customers who require scalable, cost-efficient hardware for Gen AI and big data workloads. Sunlune operates as a hardware-focused B2B provider with global engineering teams advancing chip development toward mass production.

Sunlune develops high-performance compute hardware for Web3 and AI workloads that increases throughput and energy efficiency for large-scale AI applications. The company is a fabless semiconductor developer building next-generation AI ASICs using 3D logic-to-memory hybrid bonding to combine high bandwidth, high throughput, and power-efficient compute in a single package. Its technology targets data center and AI infrastructure customers who require scalable, cost-efficient hardware for Gen AI and big data workloads. Sunlune operates as a hardware-focused B2B provider with global engineering teams advancing chip development toward mass production.
What they do: Fabless developer of high-performance AI and Web3 compute ASICs combining 3D logic-to-memory hybrid bonding
HQ: Santa Clara, California, United States
Stage / funding: Series A (latest round closed 2022-08-01)
Notable investor: Intel Capital
AI hardware and compute infrastructure for data centers and large-scale generative AI / blockchain workloads
2009
DeepTech
Crunchbase lists Series A closed on this date; exact amount obfuscated in available records
“Intel Capital participation (lead investor)”