ARIES NPU
Ultra-performance AI accelerator chip delivering 80 TOPS at just 25W
Overview
ARIES NPU
ARIES is an AI accelerator chip with a unique architecture that delivers high compute efficiency at low power consumption. Designed for versatility in handling diverse vision AI tasks, ARIES has been validated on over 400 deep learning models across CNN, RNN, and transformer architectures.
Run up to 32 different deep learning models concurrently on a single chip — detection, classification, and tracking in parallel. INT8 quantization via SDK qb maintains 99% of original model accuracy with no retraining required.
The programmable architecture supports state-of-the-art and custom model architectures. DNN-based architectural blocks adapt to diverse workloads while maximizing data reuse and minimizing memory access for best-in-class performance per watt.
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Features
Key Capabilities
Multi-Model Execution
Run up to 32 different deep learning models concurrently on a single chip — detection, classification, and tracking in parallel.
99% Accuracy Retention
INT8 quantization via SDK qb maintains 99% of original model accuracy. No retraining required.
400+ Validated Models
Tested across CNN, RNN, and transformer architectures including ResNet, YOLO, MobileNet, EfficientNet, and more.
Framework Support
SDK qb compiles models from PyTorch, TensorFlow, ONNX, TFLite, and Keras with no architecture changes.
Energy Efficient
Maximizes data reuse and minimizes memory access for best-in-class performance per watt at the edge.
Programmable Architecture
Supports state-of-the-art and custom model architectures. DNN-based architectural blocks adapt to diverse workloads.
Specifications
Technical Details
Applications
Use Cases
Robotics & AMRs
Real-time object detection and path planning for autonomous mobile robots and robotic arms.
Smart Factory
Quality inspection and defect detection on the production line. Air-gapped operation keeps data on-premises.
AI Vision & Security
Multi-channel video analytics for surveillance, access control, and perimeter monitoring.
Smart City
Traffic monitoring and pedestrian analytics at the edge — no cloud infrastructure required.
Edge Datacenter
Dense inference workloads with exceptional power efficiency for edge server deployments.
Super Resolution
Real-time image and video upscaling for broadcast, medical imaging, and display enhancement.
Downloads
Documents & Datasheets
Request product documentation and our team will email you the files directly.
ARIES NPU Datasheet
datasheet
Related
Other Mobilint Products
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