HERNDON, Va. – Klas Government Inc. in Herndon, Va., is introducing the VoyagerGPU tactical graphics processing unit (GPU) for artificial intelligence (AI), machine learning, video processing, and video transcoding at the network edge.
Embedded GPUs are for military systems with heavy processing demands -- such as those required for AI and analyzing moving images in real time. To date, GPUs with this kind of power simply haven't been able to operate at the tactical edge due to size, weight and power (SWaP), company officials say.
The Klas VoyagerGPU tactical unit, which uses the NVIDIA GPU technology, addresses these tactical edge challenges while meeting Standardized A-Kit and Vehicle Envelope specifications for tactical communications in military vehicles.
Related: When high-performance embedded computing meets open-systems standards
VoyagerGPU options include the NVIDIA Turing-based GPU; Quadro T1000, Quadro RTX 3000, Quadro RTX 5000. CPU options include: Xeon D 8, 12, 16 cores and Atom Denverton 8-core; 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 is a core component of the Klas Voyager Tactical Cloud Platform (TCP), which brings the analytical power of the cloud to the forward edge and battlefield vehicles operating in tactical edge environments at a small form factor.
VoyagerGPU also configures into the Voyager 6 power chassis to make AI capabilities available in military ground vehicles without requiring modifications to the vehicle. For more information contact Klas Government online at www.klasgroup.com/government.
