The OnLogic Factor 101 (FR101) is an ultra-small form factor, fanless industrial computer built around the Qualcomm QCS6490 platform for edge AI and data gateway applications. Designed for space-constrained applications, it targets light machine vision, inspection, monitoring, and low-speed autonomous systems.
The octa-core Qualcomm Kryo 670 (Cortex-A78/A55-class) processor is paired with 8GB LPDDR4x memory and 128GB UFS flash storage. The fanless system features 10GbE and Gigabit Ethernet ports, five USB ports, and HDMI and USB-C (DisplayPort) video output. Its compliance with various standards makes it suitable for general office and industrial edge deployments.
OnLogic Factor 101 specifications:
- SoC – Qualcomm Dragonwing QCS6490
- CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz
- GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12
- DSP – Hexagon DSP with dual HVX and 4K HMX
- VPU – Adreno 633 VPU up to 4K60 decode for H.264/H.265/VP9, Up to 4K30 encode for H.264/H.265; Support for HDR10 and HDR10+ playback
- Spectra ISP – 64 MP / 36 + 22 MP / 3×22 MP at 30fps ZSL; 192 MP non-ZSL
- AI – 6th gen Qualcomm AI Engine that combines Compute Hexagon DSP with dual Hexagon Vector, eXtensions (HVX), Hexagon Co-processor (Hexagon CP) 2.0, and Hexagon Tensor accelerator for up to 12 TOPS of AI performance
- System Memory – 8GB LPDDR4x RAM (3200 MT/s)
- Storage – 128GB UFS flash
- Video Output
- HDMI (up to 1920×1080 @ 60Hz)
- DisplayPort over USB Type-C
- Audio – Digital audio via HDMI or DisplayPort over USB Type-C
- Connectivity
- 10GbE RJ45 port
- Gigabit Ethernet RJ45 port
- USB
- 4x USB 3.0 Type-A ports
- 1x USB 3.0 Type-C port
- Expansion – 8-channel DIO (4x DI, 4x DO) for direct machine control and sensor integration.
- Misc
- Power, reset, and recovery buttons
- Function button
- Status LED along with FN1, FN2, and FN3 indicators.
- Power supply – 19V via DC barrel jack
- Dimensions – 157 x 94 x 70.75 mm
- Weight – 530 grams
- Temperature Range – 0 to 50°C
- Certifications
- CISPR 32 / EN 55032
- CISPR 35 / EN 55035
- UL IEC 62368
- FCC Part 15 Class A
- Radio Equipment Directive (2014/53/EU)
- Enclosure – Fanless aluminum and steel case with wall mount options
While writing, I noticed several inconsistencies between the datasheet and the website. The datasheet states the enclosure is made of aluminum and steel, weighing 530 grams, whereas the website states it is built from steel and weighs 570 grams. The datasheet also explicitly mentions DisplayPort over USB Type-C and UL IEC 62368 certification, details that are not present on the website.
On the software side, the FR101 supports Qualcomm’s QAIRT SDK with QNN acceleration for hardware-accelerated inference on the Hexagon NPU, and is fully compatible with Edge Impulse for end-to-end model development and deployment. Developers can build, optimize, and deploy quantized models using the Edge Impulse Linux CLI, run .eim models locally, or integrate them through the Linux Inferencing SDK (Node.js, Python, Go, C++). The platform also supports GStreamer pipelines via the Qualcomm IM SDK.
Previously, we have seen various development kits like the Avnet AI Vision Development Kit and SagireEdge AI 600 and SBCs like the Advantech MIO-5355, the Radxa Dragon Q6A, the Quectel QSM560DR SBC, or the Rubik Pi 3 based on the QCS6490, but this is the first time we have seen a fanless industrial AI computer based around it.
The OnLogic Factor 101 can be purchased directly from the OnLogic store for $599.00. It has a 5-year expected product lifecycle, a 15-year SoC lifecycle, and a 2-year limited warranty.
Debashis Das is a technical content writer and embedded engineer with over five years of experience in the industry. With expertise in Embedded C, PCB Design, and SEO optimization, he effectively blends difficult technical topics with clear communication
Support CNX Software! Donate via cryptocurrencies, become a Patron on Patreon, or purchase goods on Amazon or Aliexpress. We also use affiliate links in articles to earn commissions if you make a purchase after clicking on those links.
