Hailo-8 M.2 AI Accelerator Module Compatible with Raspberry Pi 5 Support Linux/Windows Systems Based On The 26TOPS Hailo-8 AI Processor
Model:
Hailo-8
En stock
0.15 kg
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Nuevo
Amazon
USA
- Features At A GlanceHailo-8 AI M.2 module Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor2.5W typical power consumptionScalable,enabling simultaneous processingof multi-streams & multi-modelsEnabling real-time, low latency and high-efficiency AI inferencing on the edge devicesSupports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworksSupports Linux and WindowsSupports the temperature range of -40°C to 85°CPCIe To M.2 adapter Onboard power monitoring chip and EEPROM, supports real-time monitoring of device power status for more stable operationRaspberry Pi HAT+ compliantReserved airflow vent, supports installing cooling fan for better heat dissipation of the AI module to improve performanceImmersion gold process design, anti-oxidation and more durable Hailo-8 AI M.2 Module ParametersAI performance: 26 TOPS Form Factor: M.2 Key MPower supply: 3.3V ± 5%Power consumption: 2.5W (Typ.) 8.65W (Max.)Interface: PCIe Gen3, 4-laneCertificate: CE, FCC Class AStorage temperature: -40 ~ 85°COperating temperature: -40 ~ 85°COperating humidity: 5% ~ 90%RH (no frosting)Dimensions: 22×80mm with breakable extensions to22×42mmand 22×60mm Equipped with Hailo-8 AI Accelerator to Step Up Your Edge Product PerformanceThe Hailo-8 M.2 module is an AI accelerator module for AIapplications, based on the 26 tera-operations per second (TOPS) Hailo-8AI processor with high power efficiency. The M.2 AI accelerator featuresa full PCIe Gen-3.0 4-lane interface, delivering unprecedented AIperformance for edge devices. The M.2 module can be plugged into an existing edge device withM.2 socket to provide low-power deep neural network inferencing.Leveraging Hailo's comprehensive Dataflow Compiler and its support forstandard AI frameworks, customers can easily port their Neural Networkmodels to the Hailo-8 and introduce high-performance AI products to themarket quickly.
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Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption Enabling real-time low latency and high-efficiency AI inferencing on the edge devices Supports TensorFlow TensorFlow Lite, ONNX, Keras, Pytorch frameworks Supports Linux and Windows.