KEYFACTS
Why Computer-on-Modules for Robotic-Assisted Surgery?
Reduce system development cost
Cut non-recurring engineering spend by reusing proven designs and just upgrade the compute cores.
Accelerate time-to-market
Minimize noncore design time with application-ready hardware and software building blocks.
Leverage open standards
Build applications on standardized modules for easy upgrades, second-source strategies and extended lifecycles.
Enable on-device AI inference
Deploy ML-driven AI directly at the RAS system — no discrete accelerator card needed.
Scale across product tiers
Swap modules to create complete product families — from flagship systems to cost-optimized configurations.
Protect long-term platform viability
Extend application life and protect IP through processor-generation upgrades with only minimal hardware changes.

CONTENT
Why you should read the whitepaper
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Learn about the technologies shaping the next generation of RAS systems.
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Discover how a two-board modular architecture met scalability, IP protection, and time-to-market goals.
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Get a practical comparison between COM Express and COM-HPC standards regarding interfaces, bandwidth, and medical application coverage.
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Get a framework for selecting the right embedded partner and standard.
WHITEPAPER-DOWNLOAD
Download the whitepaper

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