Aetina announced a strategic collaboration with Qualcomm Technologies to deliver next-generation on-premises AI solutions. The partnership introduces the Aetina MegaEdge AIP-FR68, a groundbreaking desktop workstation powered by the Qualcomm Cloud AI 100 Ultra accelerator cards, each delivering 870 TOPS of AI computing power with exceptional energy efficiency at just 150W. This compact, high-performance solution offers a significant leap in on-premises AI processing, empowering enterprises to run advanced AI workloads while maintaining data privacy and reducing cloud dependency.
The collaboration also leverages Qualcomm’s AI Inference Suite for On-Prem, enabling seamless integration of generative AI modelslike Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) capabilities. This makes it ideal for industries such as healthcare, finance, retail, and manufacturing that require secure, high-speed AI processing. Aetina’s hardware, combined with Qualcomm’s software, offers a scalable solution capable of running locally or expanding into private and cloud data centers.
Key Highlights of the Aetina-Qualcomm Collaboration:
• Aetina MegaEdge AIP-FR68: Desktop workstation powered by Qualcomm Cloud AI 100 Ultra accelerators delivering 870 TOPS with ultra-efficient 150W power consumption.
• On-Prem Generative AI Support: Optimized for LLMs and RAG applications, enabling secure, high-speed model deployment on standard workstations.
• Qualcomm AI Inference Suite: Combines state-of-the-art processors and software for enhanced AI workload optimization across industries.
• Enterprise-Grade Efficiency: Designed for healthcare, finance, retail, and manufacturing, ensuring privacy-focused, scalable AI capabilities.
• Global Availability: The Qualcomm AI On-Prem Appliance Solution will be available through global distributors starting Q1 2025.
This collaboration underscores Aetina’s position as a key innovator in edge AI, making enterprise-grade AI more accessible and efficient while driving digital transformation across multiple sectors.
