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Neural Network Processor for Intelligent Vision, Voice, Natural Language Processing
Efficient and Versatile Computer Vision, Image, Voice, Natural Language, Neural Network Processor
VIP9000 supports all popular deep learning frameworks (TensorFlow, Pytorch, TensorFlow Lite, Caffe, Caffe2, DarkNet, ONNX, NNEF, Keras, etc.) as well as programming APIs like OpenCL and OpenVX. Neural network optimization techniques such as quantization, pruning, and model compression are also supported natively with VIP9000 architecture. AI applications can be easily port to VIP9000 platforms through offline conversion by Vivante ACUITYTM SDK, or through run-time interpretation with Android NN, NN API, or ARM NN.
VIP9000 supports all popular deep learning frameworks (TensorFlow, Pytorch, TensorFlow Lite, Caffe, Caffe2, DarkNet, ONNX, NNEF, Keras, etc.) as well as programming APIs like OpenCL and OpenVX. Neural network optimization techniques such as quantization, pruning, and model compression are also supported natively with VIP9000 architecture. AI applications can be easily port to VIP9000 platforms through offline conversion by Vivante ACUITYTM SDK, or through run-time interpretation with Android NN, NN API, or ARM NN.
Features
- Highly efficent neural network inference processor;
- Scalable performance from less than 1 TOPS to 100s of TOPS;
- Native support of all deep learning frameworks (TensorFlow, Pytorch, Caffe, ONNX, etc.);
- Special acceleration for commonly used AI applications
Benefits
- A more flexible data distributor and processing core configurator:
- Brings high MAC utilization to a wide range of filter shapes and sizes in modern neural network models;
- New data format support for Bfloat16:
- On top of existing INT8, INT16, and Float16 support, Bfloat16 delivers better accuracy for AI training;
- FLEXA API support:
- A hardware and software protocol that enables efficient data communication between multiple pixel processing IP blocks. Systems using VeriSilicon’s ISP, Video CODEC, NPU, or 3rd party IP compliant with FLEXA API can run AI applications with reduced DDR traffics and low pixel processing latency for applications running thru multiple IPS;
- Task-specific engines designed for speeding up commonly used AI applications:
- This allows for face detection, face recognition, facial landmark detection, object detection and AI Voice. One or more engines can run in parallel inside VIP9000 together with user defined AI programs, due to VIP9000’s native multi-task, multi-context support.
Applications
- Computer Vision, Machine Learning, AI, Neural Network Acceleration, Neural Network Inference, Surveillance Camera, IP Camera, Voice Recognition, Speech Recognition, Machine Translation, Natural Language Processing, Smart Home, Smart City, Sensor Fusion, AIoT, Wearable Devices, AR, VR, Edge Server, Inference Server, Video Server, ISP, Multimedia, ADAS, Automotive, Autonomous Driving, Smartphone, Laptop, AI Server
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