Технічна документація
Технічні характеристики
Brand
IntelProduct Type
Development Kit
Kit Classification
Development Board
Processor Part Number
Myriad-2
Опис продукту
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.
Інформація про наявність тимчасово недоступна.
ГРН 6 048,00
ГРН 6 048,00 за одиницю (без ПДВ)
ГРН 7 257,60
ГРН 7 257,60 за одиницю (з ПДВ)
1
ГРН 6 048,00
ГРН 6 048,00 за одиницю (без ПДВ)
ГРН 7 257,60
ГРН 7 257,60 за одиницю (з ПДВ)
Інформація про наявність тимчасово недоступна.
1
Технічна документація
Технічні характеристики
Brand
IntelProduct Type
Development Kit
Kit Classification
Development Board
Processor Part Number
Myriad-2
Опис продукту
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.
