Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA


A flexible, customizable processor that adapts to advanced display, video, and image processing workloads.

  • Low-latency for real-time inference
  • Ideal for compute-intensive networks in network video recorder (NVR), gateway, and edge servers
  • Long-life continual operation in industrial temperatures

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Overview

Flexible Hardware

FPGA compute performance and features evolve over time and can be optimized (or tailored) to meet unique system requirements.

Distributed, Fine-Grain Digital Signal Processor (DSP) Blocks, Memory, and Logic

Deliver higher on-chip bandwidth compared to a general purpose GPU with deterministic low latency and power efficiency.

Core and I/O Programmability Enables Flexibility

Versatile I/O configurations and multifunction OpenCL™ kernels accelerate deep learning applications.

Who Needs This Product

Information and operational technologists who:

  • Are new to IoT commercial platforms and need a simple path without a steep learning curve
  • Create solutions that offload deep learning and AI workloads from the CPU or GPU to dedicated accelerator products
  • Need a quicker path to deployment

Use Cases

  • Smart cities
  • Automotive and transportation
  • Healthcare
  • Retail
  • Digital Security

Specifications

Interfaces to Host
PCIe*

Configuration
For edge servers including NVRs, gateways, and edge video analytics servers

Supported Streams
Aggregation of 3 to 32 video streams per device

Batch Size
1-144

Power Consumption
Board capable of 60 W maximum, 40 W typical operation

Efficiency
Good efficiency versus general purpose GPU

Memory
Larger memory footprint networks (more than 250 MBs) and compute-intensive networks (more than 3 GMACs)
30-40 generic size networks can be preloaded

Precision
Supports lower precision networks (such as FP16 and FP11)

Customization
Customizable hardware architecture for optimization and to support unique topologies

Lifespan
Eight years with active fan and more than 10 years with passive thermal solution

Operating System Support
Ubuntu* 16.04.3, kernel 4.14.0
Ubuntu 16.04.3, kernel 4.15.0

Host System List
IEI Tank* 870 (Intel® Core™ i7 or i5 processors)

Host CPU Configurations
Intel® Core™ i7 processor 6700TE & Intel® Q170 chipset
Intel Core i5 processor 6500TE & Intel Q170 chipset
Intel® Xeon® E3-1275 processor version 5
Intel Xeon E5-1650 processor version 4

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