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Easily adoptable, reducing infrastructure capital and operating expenditures.
Easily install network utilities in containers or VMs for agile deployment or deletion to achieve network slicing.
Compatible with multiple virtualization technologies for easy deployment of services.
Application services can start dynamically when needed in fractions of a second and shut down when not in use.
Deploy repeated service utilities in containers or VMs to provide seamless service, as well as work with various cloud platforms such as AWS, Google Cloud, etc.
Provide real-time service feedback of AIoT through MEC deployed at the edge, which can provide a better user experience.
Empower an IoV and autonomous vehicles with ultra-low latency communications to ensure a comfortable and safe mobile experience.
Accelerate the intelligent infrastructure of edge computing deployed to aggregate and analyze the massive data from AIoT devices. This, in turn, boosts the agility and efficiency of the system.
Deliver a live immersive experience using high-bandwidth 8k 360° video content and AR/VR gaming anywhere, utilizing edge computing capabilities.
Edge Arm Server - Ampere® Altra® / Altra® Max - 2U UP 6-Bay SATA/SAS
Edge Server - AMD EPYC™ 7003/7002 - 1U UP 2 x PCIe Gen4 GPUs
Edge Server - 3rd Gen Intel® Xeon® Scalable - 1U UP 1 x PCIe Gen4 GPU
Short depth chassis for far edge deployments such as a base station tower
Up to 8 x GPU cards to support GPU pass-through applications such as AR / VR or cloud gaming
Up to 32 x GPU cards to deploy as a combined MEC / VR stitching & processing server to deploy at stadiums for live video / VR streaming that can be routed locally
Up to 4 x GPU cards for an AI inferencing + MEC server platform at the aggregated edge