Running large AI models locally no longer requires bulky workstations or constant cloud connectivity. In this webinar, discover how the AI BOX-A395 combines the AMD Ryzen™ AI Max+ 395 processor, up to 128GB unified memory, and up to 126 overall TOPS AI acceleration to deliver workstation-class AI performance in a compact form factor. Learn how its unified memory architecture, high-speed connectivity, and enterprise-ready design make it an ideal platform for local AI inference, generative AI, and AI application development, while keeping sensitive data on-premises and reducing cloud infrastructure costs.

Deploying edge computing in hazardous environments requires more than rugged hardware, it demands certified safety, reliable performance, real-time connectivity, and built-in cybersecurity. In this webinar, discover how the iEP-5010G-DCN addresses these challenges with ATEX Zone 2, UL C1D2 and IECEx certifications, Intel^® Atom^® x6425RE processor with In-band ECC memory, and Intel^® TCC/TSN support for deterministic industrial communications. Engineered for harsh field deployment, it features -40°C to 70°C operation, 6-36V wide-range DC input, 3,000-meter-high altitude support, G3 anti-corrosion protection, and hardware-based security designed to ensure continuous, reliable operation in oil & gas, chemical processing, mining, water treatment, and energy infrastructure.

Building an edge AI system is only the beginning. The real challenge is deploying, managing, securing, and maintaining it at scale. In this webinar, discover how AiFDO simplifies zero-touch device onboarding, AiSMA and AiOOB enable centralized device management, AiSafeguard strengthens endpoint cybersecurity, AiUAC and AiUAC Copilot enable open automation, and Ai InduAgent and Physical AI accelerate edge AI and robotics applications. Together, these software solutions help organizations streamline the entire edge AI lifecycle, from deployment to daily operations, making large-scale edge AI projects easier to manage and scale.