Coherent Samples 300mm SiC Substrates for AI Chips

Coherent Samples 300mm SiC Substrates for AI Chips

Coherent has begun sampling 300mm high thermal conductivity silicon carbide (SiC) substrates to semiconductor customers developing AI and high-performance computing chips, moving the technology from internal development to customer evaluation. The move targets escalating thermal management challenges as processor power consumption rises.

The 300mm SiC substrates offer higher thermal conductivity than conventional silicon, enabling faster heat dissipation from dense AI compute dies. Coherent says the large-diameter format supports higher chip yields and cost efficiency compared to smaller wafers, while aligning with existing 300mm fab infrastructure. By moving to customer sampling, Coherent is positioning SiC as a viable substrate option for next-generation processors where thermal density threatens performance and reliability. The development follows growing industry interest in advanced packaging and substrate-like PCB technologies that integrate high-performance materials to manage heat at the board level.

For PCB and PCBA manufacturers, the shift to 300mm SiC substrates signals that AI server and HPC system designs will demand more advanced thermal management at every level. Board designers may need ceramic PCBs, heavy copper boards, and embedded cooling structures to handle the higher heat fluxes generated by next-gen chips. Foundries and OSATs evaluating SiC substrates will likely require compatible assembly processes, including high-temperature solders and specialized surface finishes. This evaluation phase could also influence substrate-like PCB roadmaps, as OEMs seek end-to-end thermal solutions from die to system.

As AI chip thermal loads rise, LT CIRCUIT supports OEMs with ceramic PCBs, heavy copper boards, and embedded component designs that complement advanced substrate technologies like SiC. Our HDI and multilayer PCB capabilities help electronics manufacturers meet the signal integrity and thermal management demands of next-gen AI and HPC systems.

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