Klas Government has released an embedded graphics processing unit (GPU) designed to analyze videos in real time for interface applications.
VoyagerGPU is the market’s first tactical graphics-processing unit (GPU) that unlocks Artificial Intelligence (AI) / Machine Learning (ML) and video processing and transcoding at the network edge.
Embedded GPUs are critical for military systems with heavy processing demands – such as those required for AI and analyzing moving images in real time.
Up until recently, GPUs with this kind of power haven’t been able to operate at the tactical edge due to Size, Weight and Power (SWaP) and environmental limitations.
Klas’ VoyagerGPU, the first tactical unit to deploy NVIDIA’s latest GPU technology (Turing-based GPU), addresses these tactical edge challenges while meeting Standardized A-Kit / Vehicle Envelope (SAVE) specifications for tactical comms’ SWaP in military vehicles.
VoyagerGPU comes with several professional-grade options for GPUs, central processing units, storage and internet connectivity solutions.
The GPU options include NVIDIA Turing-based Quadro T1000, Quadro RTX 3000 and Quadro RTX 5000. CPU options include: Intel’s 8-core, 12-core or 16-core Xeon D processor or the 8-core Atom Denverton; data storage of dual SATA 2.5-inch bay plus VIK+ for operating system; two 10 Gigabit Ethernet SFP+ interfaces; and two 1 Gigabit Ethernet copper interfaces.
VoyagerGPU also easily configures into the Voyager 6 power chassis, so that AI capabilities can be readily available in military ground vehicles without requiring modifications to the vehicle.
“We believe future-proofing tactical networks requires a modular and scalable range of network, compute and radio systems modules designed with a common form factor and able to seamlessly integrate with market leading technologies,” said Chris Ericksen, Chief Revenue Officer, Klas Government.
“VoyagerGPU is a core component of Klas’ modular system that allows our DoD customers to incorporate new, innovative capabilities as the mission dictates.”
