For deployment, you can choose from several targets to accelerate DNN computations (CPU, GPU, FPGA, or ASIC). Each target has its own pros and cons. Selecting embedded industrial applications is easier. With FPGA, you can achieve outstanding performance compared with CPUs while consuming minimum power.
The DeepLTK FPGA Addon is an extension to the Deep Learning Toolkit for LabVIEW. The toolkit enables the deployment and acceleration of DNNs on embedded FPGA-based targets. Addon's API requires minimal effort to deploy pretrained networks on NI’s FPGA-based targets.
Support Information
This product is supported by the third-party provider and not by NI. For more information, contact Ngene at:
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