In celebration of Premio’s 36th anniversary, the July edition of our LinkedIn Newsletter highlights our latest campaign: Rugged Edge Speed Dating. This video-driven initiative introduces a creative way to showcase how different rugged edge computers are engineered to meet the demands of real-world industrial applications.
This blog provides a brief overview of the key highlights from the newsletter, including the campaign kickoff video, featured edge computing solutions, and the introduction of our latest edge AI server. For more insights like these, subscribe to our LinkedIn Newsletter and stay connected with the latest in edge AI and rugged computing.
Premio’s Speed Dating Episode – The Showdown Begins
In the first episode of Rugged Edge Speed Dating, we follow Annie, a seasoned system integrator, as she searches for the right rugged edge computing partner for her AI-powered deployments. With years of experience integrating systems in smart factories, mobile units, and remote surveillance stations, Annie knows exactly what she’s looking for: real-time AI performance, industrial durability, long-term reliability, and seamless integration.
Three rugged edge computers step forward—each with distinct strengths to prove they’re the right match for real-world deployment challenges.
RCO Series – The Rugged Powerhouse
Built for mission-critical deployments in the harshest environments.
- Rugged x86 architecture with modular EdgeBoost I/O and GPU expansion
- Supports AI acceleration, wireless connectivity, and PoE
- Proven reliability in shock, vibration, and wide-temperature conditions
- Long lifecycle support for industrial applications
- Ideal for smart factories, in-vehicle systems, and remote field use
BCO Series – The Balanced Strategist
Designed for simplicity, stability, and space-conscious deployments.
- Semi-rugged fanless design in low-profile chassis
- Fixed I/O and scalable Intel® processor options
- Optimized for factory automation, kiosks, and access control
- Supports wireless connectivity and IIoT integration
- Certified with UL, FCC, and CE for long-term deployment
JCO Series – The AI Genius
Purpose-built for real-time AI inferencing at the edge.
- Powered by NVIDIA® Jetson™ modules for AI acceleration
- Compact, fanless design for thermal efficiency
- Rich I/O including LAN, USB, and CAN Bus
- Supports Linux-based OS and Allxon OOB management
- Ideal for edge vision systems and mobile deployments
But just when Annie thought she had her decision figured out, an unexpected contender entered the scene—introducing a completely different approach to edge AI deployment.
LLM Series – The GenAI Closer (Wildcard)
Engineered for generative AI at the edge, the LLM-1U-RPL is a short-depth 1U rackmount server purpose-built for on-premises deployment of large language models (LLMs). Unlike traditional cloud-based solutions, this system brings inference capabilities closer to the data source—offering real-time performance, lower latency, and greater control over data privacy.
- Short-depth 1U form factor for space-constrained deployments
- Powered by 13th Gen Intel® Core™ processors (up to 65W TDP)
- Supports NVIDIA® RTX™ 5000 Ada GPU for AI acceleration
- Redundant power, hot-swappable fans, and NVMe storage
- Built-in TPM 2.0 and intrusion detection for hardware security
- Ideal for control rooms, mobile systems, and edge AI environments
Beyond the product highlights, our July newsletter also explores a key industry trend: the growing shift toward on-premises generative AI.
Generative AI at the Edge: On-Prem LLM Deployment
As generative AI becomes increasingly relevant across industrial applications, there’s a growing demand to move inference capabilities out of the cloud and into real-world edge environments. Premio’s edge AI servers are purpose-built to support this shift, enabling enterprises to deploy large language models (LLMs) on-premises—where performance, security, and localized control are critical.
Key capabilities include:
- Low-latency inferencing for real-time AI processing directly at the edge
- Localized deployment of LLMs to improve data privacy and reduce cloud dependency
- Seamless integration with IoT sensors, industrial vision systems, and control networks
- High-performance GPU support, PCIe expansion, and thermal design optimized for 24/7 uptime
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