San Diego, CA-based Cubic Corporation announced on December 2
its Cubic Mission Solutions (CMS) business
division launched a highly rugged, small form factor graphics processing unit
(GPU) module designed to enable artificial intelligence and high-performance
analytics at the extreme tactical edge. Powered by dual NVIDIA GPU’s, the
M3-SE-GPU delivers class-leading performance in a low power, compact and easily
transportable solution. High throughput Ethernet connections combined with the
dual processors enable parallel processing of distinct data streams, boosting
throughput and allowing basic clustering operations. The integrated deep
learning engine and support for the NVIDIA JetPack SDK make the module ideal
for artificial intelligence, machine learning applications and neural network
development.
“Edge devices and sensors are generating massive
amounts of data that must be processed in real time at the edge to be more
relevant to current mission timelines,” said Mike Barthlow, senior vice
president and general manager of Rugged Internet of Things, Cubic Mission
Solutions. “The new M3-SE-GPU module enables improved real-time intelligence at
the edge, where and when it is needed
most.”
Benefiting from the popular M3-SE modular design, the M3-SE-GPU shares the same form factor and pass-through power connectors, allowing users to upgrade their current M3-SE server and network deployments with minimal changes to system design. This modular approach delivers great flexibility, as users can easily add GPU capabilities based on mission requirements, without the need to replace existing server or compute hardware.
Source: Cubic
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