In today’s world, the number of connected devices and the amount of data continues to increase every day. The rate at which data arrives from these devices into data centers also continues to increase. By leveraging Intel® FPGAs as accelerators, a wide range of workloads can be enhanced to accommodate this increased data, and new demands for analyzing it.
FPGAs are silicon devices that can be dynamically reprogrammed with a datapath that exactly matches your workloads, such as data analytics, image inference, encryption, and compression. This versatility enables the provisioning of a faster processing, more power efficient, and lower latency service – lowering your total cost of ownership, and maximizing compute capacity within the power, space, and cooling constraints of your data centers.
Traditionally, FPGAs require deep domain expertise to program for, but the Intel® Acceleration Stack for Intel Xeon® CPU with FPGAs simplifies the development flow and enables rapid deployment across the data center. Intel is partnering with FPGA intellectual property (IP) developers, server original equipment manufacturers (OEMs), virtualization platform providers, operating system (OS) vendors, and system integrators to enable customers to efficiently develop and operationalize their infrastructure.
Benefits of Intel FPGAs
- Ease of deployment –The Intel Programmable Acceleration Card (Intel® PAC) provides an Intel FPGA in a PCIe-based card that is available on validated servers from several leading OEMs. While the Intel Acceleration Stack for Intel Xeon CPU with FPGAs abstracts away much of the complexity of programming FPGAs
- Standardization –The Intel Acceleration Stack for Intel Xeon CPU with FPGAs defines standardized interfaces that FPGA developers and development and operations teams can use to hot-swap accelerators and enable application portability.
- Accelerator Solutions – We offer a portfolio of accelerator solutions developed by Intel and third-party technologists to expedite application development and deployment. Application classes that can stand to benefit from FPGA acceleration range from streaming analytics, image inference, financial, and beyond.
