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Viking Enterprise Solutions Edge AI Turnkey Appliances

Combines AMD CPUs, NVIDIA accelerated computing, and NVIDIA DPUs with Cloud Native Kubernetes AI framework

Viking Enterprise Solutions, product division of Sanmina Corporation, announced Viking Edge AI, an Edge AI computational storage appliance that eliminates the constraints of traditional edge computing deployment.

VSS3120 front and rear

Viking Enterprise Solutions Vss3120 F

Viking Enterprise Solutions Vss3120 R

Traditional edge architecture relies on constant data movement between the edge and the cloud because of limitations on storage, compute power and network access at the edge. This reduces efficiency due to challenges with latency, security, bandwidth and real time response. Viking Edge AI combines compute, storage and network in 1 edge appliance allowing users to rapidly deploy their algorithms.

Viking Edge AI combines AMD CPUs, NVIDIA accelerated computing, and NVIDIA DPUs with Cloud Native Kubernetes AI framework. The system provides real-time AI inferencing and modeling within a software infrastructure enabling data scientists and ML architects to deploy NVIDIA AI Enterprise, NVIDIA NIM microservices and customers’ own microservices. Viking Edge AI supports use cases like smart factory (visual inspection), automation, M&E, transportation and logistics, healthcare and video monitoring.

Viking’s Edge AI addresses the existing architecture challenges with a turnkey solution enabling customers to quickly deploy their applications without the need for additional infrastructure. This system supports virtualized GPUs as well as a wide range of NVIDIA GPUs to provide flexibility in meeting the demands of different edge AI use cases,” said Rick Kumar, SVP, Viking Enterprise Solutions.

Viking Enterprise Solutions Vss3120 Specta

Viking Edge AI was awarded ‘Best of Show’ at FMS 2024: the Future of Memory and Storage.

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