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Explore how Premio and MemryX are advancing edge AI performance through a high-efficiency, GPU-free architecture.
In this Embedded World interview, Jordy Hsu (Premio) and Sam Fuller (MemryX) present a real-world edge AI deployment achieving approximately 1000 FPS multi-stream inference without traditional GPU acceleration. The solution combines Premio’s fanless BCO-3000 industrial computer with the MemryX MX3 AI accelerator to deliver scalable, low-power AI processing at the edge.
This approach highlights a shift toward specialized AI acceleration, enabling faster, more energy-efficient inference for applications such as machine vision, industrial automation, and real-time analytics.
Explore Premio’s Amston Lake series powered by Intel X7000 processors. Designed for rugged edge environments, these systems deliver power-efficient performance, modular I/O, and reliability for industrial applications, smart cities, and automation—built for the extreme edge.
Last week during embedded world, we spoke with Graziella Spizzi, Owner & CEO of Fabrimex Systems AG, as they showcased a live Anomaly Detection demo at our booth—powered by Premio’s 𝗕𝗖𝗢-𝟯𝟬𝟬𝟬-𝗥𝗣𝗟 𝗦𝗲𝗿𝗶𝗲𝘀, Semi-Rugged Small Form Factor Industrial Computer.
▶️ Watch the full video to learn how their solution is transforming industrial operations with AI at the edge.
🔎 Learn more about BCO-3000-RPL Series here: https://premioinc.com/collections/bco-3000-rpl-series-small-form-factor-computer
This case study explores how a robotics developer leveraged Premio’s super-rugged modular fanless computer to power real-time navigation, sensor fusion, and reliable edge computing inside autonomous mobile robots operating in modern warehouse environments.
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This case study explores how a rugged fanless mini industrial computer was deployed as the central controller to support reliable motor control automation in a modern poultry processing facility.
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This case study explores how a government-focused systems integrator deployed Premio’s RCO-3000-RPL to achieve reliable, real-time OT network monitoring in extreme energy environments, addressing challenges in high-temperature operation, multi-network connectivity, flexible mounting, and strict NDAA/TAA compliance while ensuring long-term scalability and performance at the edge.
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Learn more about how Premio’s edge computing solutions, powered by Intel® Atom® x7000RE processors, deliver efficient performance, flexible I/O expansion, and reliable operation across rugged and industrial environments.
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What to expect in this case study:
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Discover how automotive manufacturers can improve factory efficiency with real-time CNC machine monitoring and edge computing. In this case study, a European automotive parts manufacturer deployed Premio’s CT-DAS01 industrial single board computer to collect machine data, integrate legacy and modern equipment, and enable real-time analytics across the factory floor.
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The CT-DAS01 3.5″ industrial SBC powered by Intel® Atom® x7000RE delivers reliable performance for industrial edge computing. With dual 2.5GbE networking, native dual CAN FD, DDR5 memory support, and cellular-ready connectivity, it enables scalable deployments for industrial automation, transportation, and remote edge systems.
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