# Intel® Vision Accelerator Design

![](https://software.intel.com/sites/default/files/managed/0c/0c/HDDL-F-500x250.png)

#### FPGA

Available in a small form factor (as a PCIe\* add-in card), this design enables deep learning inference at low power and low latency. It is well suited for real-time applications with limited space and power budget such as surveillance, retail, medical, and machine vision.

**Common uses:**

* Achieve optimized solutions through reprogramming flexibility
* Deliver high-performance, on-device deep learning inferences at low power and low latency
* Execute a compact form factor that's suitable for edge systems

**Works best for:**

* Industrial manufacturing
* Digital security and surveillance
* Retail
* Medical

**Resource:**

* [White Paper](https://www.intel.com/content/dam/www/programmable/us/en/pdfs/literature/wp/intel-vision-accelerator-design-with-FPGA-wp.pdf)

**Supported hardware:**

* Intel® Vision Accelerator Design with an Intel® Arria 10 FPGA (preview)

**Supported operating system:**

* Ubuntu 16.04.3 TLS (64 bit)

**Supported toolkit component:**

* [Deep Learning Deployment Toolkit](https://software.intel.com/en-us/openvino-toolkit/deep-learning-cv)
