Aetina AIE-CP1A-A1 is a compact, ASIC-based Edge AI system powered by the Blaize Pathfinder P1600 embedded system-on-module (SoM) equipped with dual-core Cortex-A53 processor, the Blaize Graph Streaming Processor (GSP) architecture delivering up to 16 TOPS, and 4GB RAM.
The Aetina AI inference system also comes with 8GB eMMC flash, HDMI video output, Gigabit Ethernet, two USB 3.2 ports, and a serial interface, with the small-sized embedded computer targetting computer vision applications such as object detection, human motion detection, and automated inspection.
Aetina AIE-CP1A-A1 specifications
- System-on-Module – Blaize PathFinder P1600 SoM
- SoC – Blaize 1600 dual ArmCortex A53 processor with H.264/H.265 encode and decode, MIPI CSI/DSI camera interfaces, PCIe Gen 3.0, Blaize GSP 16 TOPS AI accelerator supporting INT8, INT16, BF16, FP16, FP32, and FP64 data formats
- System Memory – 4GB LPDDR4
- Storage – 64 MB Quad SPI NOR Flash
- Carrier board interface – 400-pin board-to-board connector
- Cooling – Thermal transfer plate and temperature sensing and fan control
- Power consumption – 10W typ., 17W max.
- Dimensions – 100 x 50 x 12mm with connector and thermal transfer plate
- Temperature Range
- Commercial temperature – 0°C to +70°C
- Industrial temperature – -40°C to +85°C
- Compliance – RoHS, WEE, CE, FCC
- Storage – 8GB eMMC flash, and MicroSD slot
- Video and audio output – HDMI 1.4 with HDMI Type-A connector
- Networking – Gigabit Ethernet RJ45 port
- USB – 2x USB 3.2 Gen1 Type-A ports
- Serial
- 1x RS232 COM port (DB9)
- 1x USB Type-C console (UART) port
- Misc – Power LED for SoM, Reset button
- Power Supply – 12V via DC jack or 4-pin connector
- Dimensions (Wx Dx H) – 160 x 125 x 80mm
- Weight – 1.886kg
- Vibration – 3 Grms, IEC 60068-2-64, Random, 5 ~ 500 Hz, 1 Hr/axis
- Shock – 30 G, IEC 60068-2-27, Half Sine, 11 ms Duration
- Temperature Range
- Operating: 0°C ~ +60°C
- Storage: -40°C ~ +85°C
- Humidity – 95% @ 40°C relative humidity, non-condensing
- Certifications – CE/FCC
The built-in H.264/H.265 video encoder and decoder enables quick image recognition and video analytics tasks with various sensors, and software development is done with the Blaize NetDeploy and Picasso software development kit supporting TensorFlow, PyTorch, Caffe2, and ONNX machine learning frameworks with the application layer relying on C/C++ and OpenVX computer vision API.
More details about the Aetina AIE-CP1A-A1 Edge AI system can be found on the product page and the press release. Additional information about the P1600 SoM, related M.2 and PCIe accelerator cards, and a development kit, is available on Blaize’s website.
Thanks to TLS for the tip.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
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