Silicom is focused on solving the two structural bottlenecks holding back AI inference at scale:
The Latency Wall - where standard networking fabrics can't move data between accelerators, memory, and storage fast enough to keep expensive compute fed, leaving GPU cycles stranded and inference SLAs broken. Silicom tears it down with ultra-low-latency networking and AI NICs purpose-built for inference fabrics.
The Hardware Lottery - where 3-year ASIC development cycles can't keep pace with model architectures that evolve in months, leaving customers stuck with silicon that's already obsolete on day one. Silicom's adaptive, FPGA-based hardware acts as a reconfigurable extension to the inference stack — when the model changes, the hardware changes with it.

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