Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI
Interviews
Think Stack
Press Releases
Articles
Resources
  • Home
  • /
  • News
  • /
  • AI
  • /
  • Edge AI
  • /
  • Viking Edge AI Appliance Redefines Edge Computing Efficiency
  • Edge AI

Viking Edge AI Appliance Redefines Edge Computing Efficiency


Viking Edge AI Appliance Redefines Edge Computing Efficiency
  • Source: Source Logo
  • |
  • June 19, 2025

Viking Enterprise Solutions, a division of Sanmina Corporation, unveiled Viking Edge AI on June 17, 2025, a computational storage appliance designed to overcome traditional edge computing limitations. Awarded “Best of Show” at FMS 2024, this solution integrates advanced compute, storage, and networking to enable seamless AI deployment at the edge.

Quick Intel

  • Viking Edge AI combines AMD CPUs, NVIDIA GPUs, and DPUs for edge computing.

  • Eliminates latency, security, and bandwidth issues in traditional edge setups.

  • Supports real-time AI inferencing for smart factories, healthcare, and more.

  • Integrates Cloud Native Kubernetes for NVIDIA AI Enterprise and microservices.

  • Awarded “Best of Show” at FMS 2024 for innovative edge AI design.

  • Enables rapid AI algorithm deployment without additional infrastructure.

Addressing Edge Computing Challenges

Traditional edge architectures struggle with constant data transfers to the cloud due to limited storage, compute, and network capabilities. Viking Edge AI resolves these issues by consolidating powerful compute, storage, and networking into a single appliance. “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,” said Rick Kumar, SVP of Viking Enterprise Solutions. This reduces latency, enhances security, and ensures real-time AI responses.

Powerful Features for Diverse Applications

The appliance leverages AMD CPUs, NVIDIA accelerated computing, and NVIDIA DPUs within a Cloud Native Kubernetes AI framework. It supports real-time AI inferencing and modeling, enabling data scientists to deploy NVIDIA AI Enterprise, NVIDIA NIM microservices, and custom microservices. Viking Edge AI caters to use cases such as smart factory visual inspections, automation, media & entertainment, transportation, logistics, healthcare, and video monitoring, offering flexibility through virtualized GPU support and compatibility with various NVIDIA GPUs.

Industry Recognition and Impact

Viking Edge AI’s “Best of Show” award at FMS 2024 underscores its innovation in simplifying edge AI deployment. By eliminating the need for extensive infrastructure, the appliance accelerates adoption across industries, enhancing efficiency and supporting real-time decision-making. The solution positions Viking Enterprise Solutions as a leader in edge computing, addressing critical challenges in performance and scalability.

Viking Edge AI empowers enterprises to deploy AI applications swiftly and securely, transforming edge computing with a scalable, award-winning solution that drives innovation across multiple sectors.

 

About 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. 

About Sanmina Corporation

Sanmina Corporation is a Fortune 500 company and a leading integrated manufacturing solutions provider serving the fastest-growing segments of the global Electronics Manufacturing Services (EMS) market. Recognized as a technology leader, Sanmina provides end-to-end manufacturing solutions, delivering superior quality and support to Original Equipment Manufacturers (OEMs) primarily in the industrial, medical, defense and aerospace, automotive, communications networks, and cloud infrastructure markets. Sanmina has facilities strategically located in key regions throughout the world.

 

News Disclaimer
  • Share