Edge AI Acceleration
with Hailo-8™ M.2 Modules

Premio is part of Hailo’s hardware partner ecosystem that enables technology leaders to bring advanced deep learning capabilities to a variety of edge computers with domain-specific performance acceleration. Premio has tested, validated, and benchmarked Hailo-8™ M.2 Modules in our rugged edge computers.    Read Press Release ...

M.2 Form Factor

EDGE AI Performance

Power Efficent


Real-time Performance

Modular EDGEBoost I/Os: Scalable AI Modules

Our EDGEBoost I/O Modules are purpose-built to support Hailo-8 acceleration modules for maximum Edge AI performance. Premio’s modular and rugged design enables seamless compatibility with our rugged edge computers for ultimate scalability.

  • Seamless integration, scalability, and compatibility with EDGEboost I/O Modules
  • Ruggedized and Passive Cooling design for harsh environments
  • Scalable up to 4x Hailo AI Accelerators - 104 TOPS
  • Industry-leading performance and number of Hailo-8 modules
  • High-Speed PCIe for low-latency and fast performance.

RCO Series: Compatible with Hailo-8™ M.2 AI Accelerators

Premio’s flagship line of industrial computers seamlessly integrates Hailo-8 AI Accelerators to enable real-time AI inferencing at the rugged edge. This line of industrial computers, the RCO series, is purpose-built with EDGEBoost technologies to deliver tailored edge computing solutions for high specification Industry 4.0 applications.

RCO-1000-EHL Ultra-Compact Mini Computer

Palm-sized industrial computer for extremely space-constrained deployments.
• Supports 1x Hailo-8™ M.2 AI Accelerator (26 TOPS)
• On-board (1x M.2 B-Key, PCIe x1)

• Product Performance Benchmarks

ResNet-50 v1 1332 1332
MobileNet_v2_1.0 2444 2444
EfficientNet_M 889 889
SSD_MobileNet_v1 1055 1055
YOLOv5m 218 218
Stdc1 54 22
YOLOv3 69 37


Intel® Core™ i5-9400
1x Hailo-8™


Intel® Celeron® J6413
1x Hailo-8™

RCO-3000-CML Small Form Factor Computer

Multi-core processing with minimal footprint for space-limited edge AI deployments.
• Scalable up to 3x Hailo-8™ M.2 AI Accelerators (78 TOPS)
• On-board (1x M.2 B-Key, PCIe x2)
• EDGEBoost I/O Module (2x M.2 B-Key, PCIe x2)

• Product Performance Benchmarks

ResNet-50 v1 1332 3996
MobileNet_v2_1.0 2444 7333
EfficientNet_M 889 2672
SSD_MobileNet_v1 1055 3166
YOLOv5m 218 654
Stdc1 54 95
YOLOv3 69 185


Intel® Core™ i5-9400
1x Hailo-8™


10th Gen Intel® Core™ Processor
3x Hailo-8™

RCO-6000-CML AI Edge Inference Computer

Utilizes modular EDGEBoost Nodes with GPU and NVMe acceleration for maximized edge performance.
• Scalable up to 4x Hailo-8™ M.2 AI Accelerators (104 TOPS)
• 2x EDGEBoost I/O Modules (2x M.2 B-Key, PCIe x2)

• Product Performance Benchmarks

ResNet-50 v1 1332 5328
MobileNet_v2_1.0 2444 9778
EfficientNet_M 889 3563
SSD_MobileNet_v1 1055 4222
YOLOv5m 218 872
Stdc1 54 95
YOLOv3 69 221


Intel® Core™ i5-9400
1x Hailo-8™


10th Gen Intel® Core™ Processor
4x Hailo-8™

RCO-1000-EHL RCO_3000-CML RCO_6000-CML
ONBOARD - 1x M.2 (B Key, 2242/3042/3052, PCIex 1) ON-BOARD 1x M.2 B Key, 2242/3042/3052 (PCIex2, Support AI Module/NVMe Storage) + EBIO-2M2BK EDGEBoost I/O Module With 2x M.2 B-Key EBIO-2M2BK EDGEBoost I/O Module With 2x M.2 B-Key
NN Models Resolution FPS Power [W] FPS/W % FPS Power [W] FPS/W % FPS Power [W] FPS/W %
ResNet-50 v1 224x224 1,331.75 3.45 386 99.98% 3,996.50 3.82 1,046 300.04% 5,328.64 3.75 1,421 400.05%
MobileNet_v2_1.0 224x224 2,444.47 2.15 1,136 100.02% 7,333.66 2.24 3,274 300.07% 9,778.16 2.20 4,445 400.09%
EfficientNet_M 240x240 890.83 3.50 255 100.21% 2,672.55 3.11 859 300.62% 3,563.41 2.49 1,431 400.83%
Object Detection
SSD_MobileNet_v1 300x300 1,055.70 2.20 480 100.07% 3,166.70 2.48 1,277 300.16% 4,222.32 2.46 1,716 400.22%
YOLOv5m 640x640 218.10 4.50 48 100.05% 654.16 5.10 128 300.07% 872.24 5.01 174 400.11%
stdc1 1024x1920 22.60 2.90 8 41.85% 95.00 2.16 44 175.92% 95.06 1.82 52 176.04%
Multi Stream Object Detection
(8 Streams)
YOLOv3 608x608 37.86 4.90 8 54.87% 185.57 4.91 37.79 268.94% 221.00 4.42 50 320.29%
Average 85.29% 277.97% 356.80%

* RCO-1000-EHL CPU Host benchmark: Intel® Celeron® J6413
* RCO-3000-CML CPU Host benchmark: Intel® Core™ i7-10700TE
* RCO-6000-CML CPU Host benchmark: Intel® Core™ i7-10700TE
* Power [W] listed is averages of single or multiple Hailo-8 module only, contact us for overall system power consumption
* FPS/W is based on total FPS and avg power on single or multiple Hailo-8 modules

Benefits of Hailo-8™ M.2 AI Acceleration Modules

Achieve accurate real-time edge AI operations without having size, power, or temperature constraints. The Hailo-8™ M.2 AI accelerators deliver enterprise-grade performance with 26 tera operations per second (TOPS) while operating at an efficient 2.5W. Each Hailo-8™ AI accelerator offers unmatched scalability with 100% utilization rates and linear performance stacking.

  • Real-time AI Inferencing with 26 TOPS
  • 2.5W Power Efficiency
  • Fast time-to-market with standard M.2 form factor
  • Scalable with linear performance stacking
  • Support for standard AI frameworks

Hailo in Action: Webinar

Gain access to our exclusive webinar session featuring experts from Hailo and Premio to elaborate on the latest trends and challenges in security and surveillance.

Achieving Real-time Edge AI Inferencing

In this whitepaper, we introduce the benefits of domain-specific architectures and its capability to enable real-time AI processing with significantly reduced latency and bandwidth consumption, while maintaining low-power efficiency.

World Class Computers. World Class Certifications

See Certifications

Edge AI Inferencing Deployment Applications

Industrial Automation

Increase production line efficiencies with AI-powered defect detection. Accurately identify and remove defected components, eliminating risk of human error. Minimize downtime with optimized maintenance strategies using predictive maintenance.

  • Automated Quality Control: rapidly inspect and detect defective components
  • Predictive Maintenance: monitor and ensure equipment operability with optimized maintenance planning

Security & Surveillance

24/7 monitoring and surveying critical sites to alert dispatch of early stages of potential hazards. Significantly amplifying effectiveness, productivity, and overall premise safety.

  • Hazard Detection: identify initial stages of hazards and alert dispatch
  • Safety Monitoring: ensuring safety standards and protocols are met


Analyze and record traffic patterns for effective data-driven traffic control. Modernize tolling systems to allow for convenient non-stop highway tolling and web payment.

  • Real-time Telematics: accurate vehicle positioning data for traffic control and analysis
  • Automated Tolling: capture vehicle identification on highways

Certified by UL Solutions

For additional re-assurance in product quality and safety, this edge computer has earned the UL Certified Mark for ultimate reliability when operating in extreme industrial deployments.
• UL Listed (I.T.E E357184)


Why Premio?
Built Rugged. Built Ready.

  • • 30+ years of extensive design expertise for industrial computing solutions in x86 compute power, storage, rich I/O, and high-speed connectivity
  • • Global turnkey manufacturing and support infrastructure in the USA
  • • Regulatory testing and compliance for rugged industrial computers
  • • Long Product Life Cycles to ensure reliability

Related Articles


M.2 AI Acceleration is a domain-specific architecture specifically to process AI workloads. M.2 is the form factor and how the processor is integrated into Premio’s rugged edge computers.

AI Accelerators efficiently processes data-intensive AI workloads with low-power consumption and within a compact form factor. This allows AI Accelerators to power AI algorithms, like machine/computer vision, in confined industrial spaces and provide seamless scalability for even greater workloads.

M.2 AI Acceleration Modules such as the Hailo-8 have a wide operating temperature range to be implemented into industrial computers and confidently process AI workloads in harsh industrial environments. Premio has developed EDGEBoost I/O Modules for seamless integration and dedicated heatsinks for the Hailo-8.

M.2 AI Accelerators are installed onto the on-board M.2 slot or on our EDGEBoost I/O Modules. Premio’s EDGEBoost I/O Modules feature an M.2 carrier board variation to house up to two M.2 AI accelerators on PCIe Gen 3.0 interface.

The RCO series is scalable to support up to 4x Hailo-8 AI Accelerators. The RCO-1000-EHL is only compatible with 1x Hailo, while the RCO-3000-CML can support up to 3x, and RCO-6000-CML up to 4x.