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What is the FPGA used on the Amazon F1 instance?
F1 instances include 16 nm Xilinx UltraScale Plus FPGA. Each FPGA includes local 64 GiB DDR4 ECC protected memory, with a dedicated PCIe x16 connection. Each FPGA contains approximately 2.5 million logic elements and approximately 6,800 Digital Signal Processing (DSP) engines.
What is aws F1?
F1 Insights powered by AWS transforms the fan experience before, during, and after each race. By using distinct data points to inform each insight, F1 enables fans to understand how drivers make split-second decisions and how teams devise and implement race strategies in real time that impact the outcome of a race.
What is cloud FPGA?
FPGA cloud servers are FPGA-based computing instances. Users can purchase FPGA instances to quickly enable their specific applications to achieve FPGA-based hardware acceleration. Initially, cloud computing vendors deployed FPGA’s to satisfy some of their own specific cloud computing acceleration requirements.
How does F1 use AWS?
Formula 1 will work with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services—including Amazon SageMaker, AWS Lambda, AWS’s event-driven serverless computing service, and AWS analytics services—to deliver new race metrics that will change the way fans …
How is data used in F1?
F1 is also using cloud computing to bring fans inside the racing experience in news ways through F1 Insights, which uses a suite of AWS services to analyze real-time data feeds – including data from sensors along with video from on-board cameras and audio from team radio – and analyze them for live broadcasts around …
What is the difference between Amazon EC2 F1 and FPGA?
FPGAs can provide up to 30x Next-Generation Sequencing (NGS) compute acceleration compared to the latest CPU based instances on AWS. Amazon EC2 F1 instances deliver the ability to efficiently compute networking packets at line rate using the virtual ethernet feature.
How many UltraScale+ FPGAs can be mapped to an EC2 instance?
New algorithms can be mapped to EC2 F1 instances equipped with as many as eight Virtex UltraScale+ FPGAs. Finalized FPGA designs can be registered as Amazon FPGA Images (AFI), and deployed on F1 instances in just a few clicks.
How do I get Started with Amazon FPGA on AWS?
Developers can get started on F1 instances by creating an AWS account and downloading the AWS FPGA Development Kit. The kit is avaliable on GitHub and includes all documentation on F1, internal FPGA interfaces, and compiler scripts for generating Amazon FPGA Images (AFIs).
Which AWS F1 instance is best for Genomics?
Amazon EC2 F1 instances are the ideal option to process massive amounts of genomics data, provide the fastest time to results, with best accuracy and low cost per genome. FPGAs can provide up to 30x Next-Generation Sequencing (NGS) compute acceleration compared to the latest CPU based instances on AWS.