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Neural Network Processing Technology

Published by Connect Technology, 2021-12-20 11:56:49

Description: Hailo’s revolutionary architecture is a clean-slate approach to the design of a specialized technology stack. It has created a domain-specific processor that vastly outperforms the Von Neumann architecture for deep learning tasks.


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Hailo-8™ Deep Learning Processor for Edge Devices The Hailo-8™ Provides Groundbreaking Efficiency for Neural Network Deployment End-To-End KEY Features Solution Proprietary novel Structure-driven Data Flow architecture TARGET MARKETS (vs. CPU/GPU/DSP/HW Accelerator) Holistic solution comprising HW & SW Automotive Unprecedented performance efficiency enabling Smart City Smart Home Processing of FHD stream in real-time Smart Retail Low power consumption solution Industry 4.0 Enable smaller size and lower the solution cost HARDWARE Used as a standalone processor or as a co-processor Scalable performance via chip cascading Up to 26 TOPS Easy HW integration (no additional external memory) Numeric representation: Seamlessly integrates with popular SW frameworks 8, 16 -bit Typical power Hailo-8™ consumption: 2.5W NEURAL NETWORK CORE SOFTWARE PCIe Cluster #1 Data Interconnect Cluster #5 SDIO Comprehensive toolchain RGMII Cluster #2 Cluster #6 USB 2.0 TensorFlow and ONNX support MIPI CSI Cluster #3 Cluster #7 I2C Offline Emulator MIPI DSI Cluster #4 Cluster #8 I2S and Profiler Core Management GPIO C2C PPU UART AUTOMOTIVE Parallel JTAG COMPLIANCE MCU Subsystem Vision Subsystem A-SPICE L2 Yigal Alon 94, Tel Aviv, Israel 6789139 development flow AEC-Q100 @ Copyright 2021 Hailo Technologies Ltd. All rights reserved. Grade 2 compliant ISO-26262, ASIL-B (D) compliant


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