產品說明0
Intel Movidius Neural Network Compute Stick
機器視覺 神經網路計算棒 NCSM2450.DK1
Movidius Neural Compute Stick
The Neural Network Compute Stick from Movidius™ allows Deep Neural Network development without the need for expensive, power-hungry supercomputer hardware. Simply prototype and tune the Deep Neural Network with the 100Gflops of computing power provided by the Movidius stick. A Cloud connection is not required. The USB stick form-factor makes for easy connection to a host PC while the on-board Myriad-2 Vision Processing Unit (VPU) delivers the necessary computational performance. The Myriad-2 achieves high-efficiency parallel processing courtesy of its twelve Very Long Instruction Word (VLIW) processors. The decision on parallel scheduling is carried out at program compile time, relieving the processors of this chore at run-time.
Features
- • Movidius 600MHz Myriad-2 SoC with 12 x 128-bit VLIW SHAVE vector processors
- • 2MB of 400Gbps transfer-rate on-chip memory
- • Supports FP16, FP32 and integer operations with 8-, 16- and 32-bit accuracy
- • All data and power provided over a single USB 3.0 port on a host PC
- • Real-time, on-device inference without Cloud connectivity
- • Quickly deploy existing CNN models or uniquely trained networks
- • Multiple Movidius Sticks can be networked to the host PC via a suitable hub
- • Dimensions: 72.5 x 27 x 14mm
Compile
Automatically convert a trained Caffe-based Convolutional Neural Network (CNN) into an embedded neural network optimized for the on-board Myriad-2 VPU. The SDK also supports TensorFlow.
Tune
Layer-by-layer performance metrics for both industry-standard and custom-designed neural networks enable effective tuning for optimal real-world performance at ultra-low power. Validation scripts allow developers to compare the accuracy of the optimized model on the device to the original PC-based model.
Accelerate
The Movidius Stick can behave as a discrete neural network accelerator by adding dedicated deep learning inference capabilities to existing computing platforms for improved performance and power efficiency.
規格
- Classification：Compute Stick
- Name：Movidius
- Processor Family Name：Myriad
- Processor Part Number：Myriad-2
- Processor Type：SoC
>> 編譯：自動把一個經過訓練、基於Caffe的捲積神經網絡（CNN）轉換成通過優化、能夠在Movidius Myriad 2 VPU上運行的嵌入式神經網絡中。
>> 調優：針對行業標準和定制神經網絡的逐層性能指標實現了在低功耗的條件下高效調優，從而在真實世界中實現很好的性能。驗證腳本允許開發者對比設備上優化的模型與原始PC模型的準確度。
>> 加速：作為Movidius神經計算棒所獨有的功能，該設備可作為一個單獨的神經網絡加速器，只需在現有計算平台加入專用深度學習推理能力，就能提高性能和能效。
Movidius 600MHz Myriad-2 SoC，帶有12x128bit VLIW SHAVE矢量處理器2MB的400Gbp傳輸速率片上存儲器。支持FP16，FP32和8位，16位和32位精度的整數運算。
通過主機上的單個USB 3.0端口提供的所有數據和電源無需雲連接的實時設備推斷快速部署現有CNN模型或經過專門培訓的網絡，支持多個神經元計算棒可以通過合適的集線器連接到主機PC。
