White Paper: Massive Disaggregated Processing for Sensors at the Edge

Edge applications need support for more powerful, deployable computing subsystems
that can process extremely high bandwidth, ever-growing sensor data streams and exploit
the rapidly emerging capabilities of Artificial Intelligence (AI).

This paper highlights a novel architectural approach that addresses this growing need by
combining innovative data processor unit (DPU) technology with high-performance graphics
processing units (GPUs) in a rugged, SWaP-optimized configuration—without the need for an
x86 CPU host.

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Webinar:  Using NVIDIA-Based Distributed Processing to Speed Mission-Critical AI at the Edge
Webinar: Using NVIDIA-Based Distributed Processing to Speed Mission-Critical AI at the Edge

For the first time in the market, there is an optimized network-attached rugged distributed GPU processing ...

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Solution Brief: Mercury and VAST Federal, All-Flash Data Insights at the Edge
Solution Brief: Mercury and VAST Federal, All-Flash Data Insights at the Edge

Mercury Systems and VAST Federal work closely to deliver a rugged data center-class all-Flash network-attac...