FPGA Development Board with AMD Kintex UltraScale+

Lifecycle status: Production Status: Production Product Slide Deck
1 PC
XCKU11P-1E, 2 GiB DDR4
add to cart $3,999.95
Breakout board for the XEM8370
add to cart $399.95
Fansink for the XEM8370
add to cart $59.95
12V Power Supply
add to cart $29.95
Need more? Icon: step pricing Step Pricing Information

The XEM8370-KU11P is an FPGA development board based on the AMD Kintex UltraScale+ FPGA. In addition to support for the Opal Kelly FrontPanel SDK and SuperSpeed USB 3.0, the module includes high-efficiency power supplies for single-input power, 2 GiB DDR4, clock oscillators, and three mezzanine expansion connectors for access to fabric and transceiver I/O.

Designed for prototypes, proof-of-concept, and production, the XEM8370 is a great way to take advantage of the balance of price, performance, and power efficiency of the Kintex UltraScale+ architecture. Reduce time to market, focus on your team’s core competency, and simplify your supply chain. Higher volume production is supported by our Step Pricing program.

FrontPanel® SDK

Opal Kelly’s FrontPanel SDK is an easy-to-use, robust API for communication, configuration, and interfacing to your PC, Mac or Linux hardware. FrontPanel handles all the interaction between your software and the FPGA internals, dramatically reducing the time and effort required to interface to a design.

FlashPrototyping and OEM Integration

Opal Kelly FPGA integration modules are designed to be the ideal turnkey solution for prototypes and OEM product integration. With the complete FrontPanel SDK, there’s simply no faster, more reliable, production-ready way to jump start your FPGA design.

Block diagram

Block diagram




301 fabric I/O, 20 GTH transceiver lanes, and 8 GTY transceiver lanes



Single-input (5 VDC to 18 VDC), high-efficiency switching power supplies provide stable, dependable power to the FPGA and peripherals



Measured performance at over 350 MiB/s for real-world data transfers to/from the PC using Opal Kelly's FrontPanel SDK


2 GiB DDR4

Integrated 2-GiByte DDR4 provides loads of high-speed on-board memory for high-performance applications, including video capture and data acquisition

Front Panel logo FrontPanel®  SDK

Build high-performance software-connected FPGA applications for prototypes, proof-of-concept, and production.

A multi-platform, multi-language development kit designed to help you reach your project milestones faster. Production-ready with thousands of customer deployments.

  • Firmware, HDL, and software API supporting FPGA configuration, data transfer, and control
  • High-performance USB 3.0 (up to 350 MB/s)
  • Protocol extension over TCP/IP for longer reach
  • Multi-platform API: Windows, Linux, and macOS
  • Multiple languages: C++, Python, Ruby, C#/.NET, DLL

Customer Deployments

  • High-end data acquisition
  • Scientific measurement, instrumentation, and control
  • Machine learning / AI
  • Machine vision
  • Software-defined radio
  • Advanced test equipment
  • Networking and connectivity


  • Data acquisition
  • Machine vision
  • Edge and endpoint machine learning / AI
  • Aerospace and Defense
  • Software-Defined Radio (SDR)
  • Digital communications and networking
  • Advanced test, measurement, and Instrumentation
  • Cryptography
  • Data Security

Technical Specifications and Support

Features & Specifications

  • AMD Kintex UltraScale+ (XCKU11P-1FFVA1156E), -3FFVA1156E optional
  • 2-GiByte DDR4 (32-bit wide data interface)
  • 16-MiB system flash
  • 32-MiB QSPI FPGA flash
  • Small form-factor -- 120 x 85mm (4.72 x 3.35")
  • SuperSpeed USB 3.0 interface for configuration and data transfer
  • USB Type-C Connector
  • Measured performance over 350 MiB/s
  • Self-powered by single DC supply (5 to 18 VDC)
  • On-board temperature, voltage, and current monitoring with FrontPanel Device Sensors
  • 301 FPGA fabric I/O
  • 20 GTH (up to 12.5 Gbps) transceiver lanes
  • 8 GTY (up to 16.375 Gbps) transceiver lanes
  • JTAG access via expansion connectors
  • FrontPanel SDK •• Complete Application Programmer's Interface (API) in C, C++, C#, Ruby, Python, and Java