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AWS Cloud

Xilinx FPGAs in World’s Largest Cloud

Custom Hardware Acceleration in the AWS Cloud

The world’s fastest FPGA for accelerated computing is now accessible everywhere from the AWS Cloud. 

Xilinx FPGAs are available in the Amazon Elastic Compute Cloud (Amazon EC2) F1 instances. F1 instances are designed to accelerate data center workloads including machine learning inference, data analytics, video processing, and genomics.

With F1 instances you can:

  • Quickly deploy custom hardware acceleration
  • Enjoy predictable performance with dedicated FPGAs
  • Use your existing FPGA algorithms
Run Custom FPGAs
in the AWS Cloud

Amazon EC2 F1 instances are available today in two different sizes that include up to eight Virtex® UltraScale+ VU9P FPGAs with a combined peak compute capability over 170 TOP/sec (INT8). 

Xilinx Cloud Acceleration Tool on AWS

Amazon Web Services offers the Xilinx SDAccel ™ Development Environment for cloud acceleration. SDAccel empowers hardware designers to easily deploy their RTL designs in the F1 instance. It also automates the acceleration of code written in C, C++ or OpenCL by building application-specific accelerators on the F1 instances.  

Get started with SDAccel in five easy steps.

If you prefer your dev system to be on premise, Vivado® Design Suite together with the SDAccel Development Environment can be purchased or upgraded to work with the F1 instances in the Amazon cloud. Purchase or upgrade now.

Applications and Services Running on F1 Instances

Academic Community

If you are interested in F1 instances as part of our academic partner program, go to the Xilinx University Program (XUP) cloud page.

Prerequisites

A number of preparation steps are required before being able to connect to an F1 instance. This module will show you how to:

  • Create an AWS account
  • Create an S3 bucket
  • Preparate your private connection keys
  • Request access to AWS F1 instances
Follow the Instructions

1. Create, configure and test

This module will show you how to:

  • Launch and configure an AWS F1 instance
  • Connect to the instance and run a simple test
  • Close the session

 

Follow the Instructions

2. Run your first SDAccel program

This module will show you how to:

  • Package an existing RTL design as an SDAccel acceleration kernel
  • Compile, execute and profile a simple example accelerated with the RTL kernel

 

Follow the Instructions

 

3. About AWS F1 & the SDAccel

This module will take you through an introductory online training course covering:

  • Introduction to AWS F1 and the SDAccel Development Environment
  • AWS F1 hardware specifications and requirements
  • Packaging existing RTL IP for AWS F1
  • Running a host-side application with an RTL kernel
Follow the Instructions

4. Practice and experiment

This module will show you how to:

  • Run additional labs and examples on F1
  • Learn more about SDAccel
  • Get support and troubleshoot issues

 

 

 

Follow the Instructions

5. Install and run SDAccel

The AWS F1 instances loaded with the FPGA developer AMI provide all the necessary tools to develop, compile, execute and debug your application in the Amazon cloud.  

This optional module will show you how to:

  • Install and license SDAccel locally on your machine
  • Compile a simple example locally
  • Upload and execute it on AWS F1
Follow the Instructions
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