Viking Enterprise Solutions, a product division of Sanmina Corporation, today announced Viking Edge AI, an Edge AI Computational Storage Appliance that eliminates the constraints of traditional edge computing deployment.
Also Read: Why multimodal AI is taking over communication
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 powerful compute, storage and network in one 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 machine learning 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, media & entertainment, transportation & logistics, healthcare and video monitoring.
Also Read: Unpacking Personalisation in the Age of Predictive and Gen AI
“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 of Viking Enterprise Solutions.
Viking Enterprise Solutions, a division of Sanmina Corporation, provides advanced data center products including solid-state memory and disk-based storage server appliances, JBOD storage systems and other products for a variety of data center and storage applications. Viking Enterprise Solutions award winning products are tailored for integration into OEM, system integrator and data center products, reducing development and operating costs while improving time-to-market.
[To share your insights with us, please write to psen@itechseries.com]
Comments are closed.