Amazon EC2 F1 Instances Put Xilinx Virtex Ultrascale+ FPGA Boards into the Cloud

We’ve covered several board and modules based on Xilinx Zynq Ultrascale+ MPSoC such as the AXIOM Board and Trenz TE0808 SoM, both featuring ZU9EG MPSoC, with systems selling for several thousands dollars. But I’ve been informed you may not need to purchase a board to use Virtex UltraScale+ FPGAs, which are different from Zynq UltraScale+ since they lack the ARM CPU & GPU and normally feature a more capable FPGA, as last November, Amazon launched a developer preview of F1 instances giving access to this type of hardware from their cloud.

That’s the FPGA hardware you’ll be able to access from one F1 instance:

  • Xilinx UltraScale+ VU9P manufactured using a 16 nm process.
  • 64 GB of ECC-protected memory on a 288-bit wide bus (four DDR4 channels).
  • Dedicated PCIe x16 interface to the CPU.
  • Approximately 2.5 million logic elements.
  • Approximately 6,800 Digital Signal Processing (DSP) engines.
  • Virtual JTAG interface for debugging.

I understand those FPGA boards are PCIe card plugged into servers with an Intel Broadwell E5 2686 v4 processor, up to 976 GB of memory, and up to 4 TB of NVMe SSD storage. This is obviously only usable if the FPGA do not need extra hardware connected to the board.

You can choose from two instance types as described in the table below.

Instance Type FPGA Cards vCPUs Instance Memory (GiB) SSD Storage (GB) Enhanced Networking EBS Optimized
f1.2xlarge 1 8 122 480 Yes Yes
f1.16xlarge 8 64 976 4 x 960 Yes Yes

Amazon provides an hardware development kit or FPGA Developer AMI (Amazon Instance), where developers write and debug FPGA code on their own hardware/instance, before creating an “Amazon FPGA image” (AFI), and attaching it to an F1 instance as describe in the first diagram of this post. If you’re a customer who needs a specific “acceleration routine”, you don’t even need the FPGA development kit, as you can purchase the AFI on the market place, and deploy it on F1 instances.

If you are interested in Amazon solution and want to know more and get started, Amazon organized a one hour webinar last December.

Hardware-accelerated computing leveraging FPGAs is especially used for genomics research, financial analytics, real time video processing, big data search and analytics, and security applications.

AFAIK, Amazon has still not officially launched F1 instances commercially, at which point you’ll be able to pay by the hour for the use of the instance, but you can still sign up for the F1 preview.

Thanks to Jon for the tip.

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@cnxsoft
Sure, was more about the potential and use cases of FPGAs in general since some of your readers just recently compared prices of Xilinx SoCs with Raspberries (without comparing features and solely focusing on CPU cores)