With the constant expansion of the Internet of Things (IoT), ongoing rollout of 5G broadband networks, evolving IT strategies and roadmaps continue to include edge computing. This emphasis led Gartner to project in its article, What Edge Computing Means for Infrastructure and Operations Leaders, that enterprise edge computing will grow from 10 percent to 75 percent by 2025 through micro-data centers and cellular networks. Data-centric applications, such as 5G and edge computing need to process larger amounts of data, creating the need for advanced processing technology.
Data needs to travel across the entire IT infrastructure, from application to network core to data center and back. Because each end-user application is different, system architects need customizable, flexible data processing to optimize cost and energy efficiency at the point of data generation. Intel® Agilex™ FPGAs combine FPGA flexibility with application-specific integrated circuit (ASIC)’s efficiency and performance levels. This new solution integrates a wide range of semiconductor elements into one system.
Built on Intel’s 10nm SuperFin Technology, Intel® Agilex™ FPGAs provide flexibility and agility beyond previous generation FPGA devices, making them ideal for Industry 4.0 (Figure 1).
Figure 1: Intel® Agilex™ FPGA offers flexibility and agility to support edge devices, low-latency, and high-bandwidth. (Source: Intel®)
Three product variants exist within the Intel® Agilex™ portfolio: Flexible (F-series), Interface centric (I-series), and Memory centric (M-series). Intel® Agilex™ F-Series FPGAs feature transceiver rates up to 58Gbps, PCIe Gen4 x16, 400Gb Ethernet hard IP, and DDR4 External Memory Support using hard memory controllers. Intel® Agilex™ I-Series FPGAs increase the maximum transceiver rate to 116Gbps, and also include PCIe Gen5 x16 and Compute Express Link (CXL) hard IP. Intel® Agilex™ M-Series FPGAs add support for in-package HBM2 memory, DDR5 External Memory Support and Intel® Optane Persistent Memory support.
The innovation in the Intel® Agilex™ FPGA is in the integration of flexibility and agility. Engineers combined a general-purpose, high-performance FPGA core fabric with function-specific chiplets in a single package to create a flexible device architecture. The traditional FPGA fabric makes the product flexible enough to extend to multiple applications. This integration makes the Intel® Agilex™ flexible to support a wide array of applications.
Although earlier commercial FPGAs contained a single monolithic die or multiple instances of the singular die, Intel® Agilex™ leverages advanced packaging technology to enable various unique silicon dies within the package.
This enables Intel® Agilex™ FPGAs to excel in four important areas: design re-use, transceivers, interfaces and compute/AI. Intel® Agilex™ FPGAs utilize the second generation Hyperflex core architecture, allowing design and IP reuse from previous generation Intel® Stratix® 10 FPGAs, while offering up to 40 percent higher performance or up to 40 percent lower power dissipation. Both products use the same Quad-core Arm Cortex A53 hard processor preserving investments made in both software, and peripheral design. Intel® Agilex™ FPGAs offer transceiver rates up to 116Gbps PAM4 and 58Gbps NRZ, supported by PCIe, CXL and 400Gb Ethernet hard IP to allow efficient implementation of a wide variety of serial protocols and interfaces to optical modules, processors and other devices. For compute intensive DSP applications, Intel® Agilex™ FPGAs feature a Variable Precision DSP block with hard fixed-point and hard floating-point modes of operation, including FP32, FP16, INT18/19, INT9 and BFLOAT16 number formats that support a variety of applications including AI training and inference.
The features described above illustrate the benefits and capabilities of Intel® Agilex™ FPGAs. Their flexible yet agile design makes Intel® Agilex™ FPGAs ideal for acceleration applications in the data center with both PCIe and CXL processor attachment, new DSP functions for AI, high-performance external memory interfaces such as DDR4, DDR5 and Intel® Optane™ persistent memory, and in-package HBM2 memory. Other applications for Intel® Agilex™ FPGAs include cloud infrastructure, network function virtualization (NFV), automotive, aerospace, manufacturing, and military.
Intel® Agilex™ FPGAs offer a disruptive approach to FPGA architecture, integrating logical design flexibility with customizable agility. Intel® Agilex™ FPGAs deliver on the promise of the Intel acquisition of Altera with impressive advancements in silicon and solutions, enabling a broader market, while staying true to the well-established FPGA user community. This transformative device’s efficiency and performance gains will dramatically improve the user experience and can elevate your brand and product portfolio to a position of strength in new and emerging markets.
Adam Kimmel has nearly 20 years as a practicing engineer, R&D manager, and engineering content writer. He creates white papers, website copy, case studies, and blog posts in vertical markets including automotive, industrial/manufacturing, technology, and electronics. Adam has degrees in chemical and mechanical engineering and is the founder and principal at ASK Consulting Solutions, LLC, an engineering and technology content writing firm.
Intel® makes possible the most amazing experiences of the future. Many may know Intel® as the world's largest manufacturer of semiconductors, but Intel® does so much more. Intel® invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth.
Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel® is disrupting industries and solving global challenges. If it's smart and connected, it's best with Intel®.
Intel® also offers FPGAs, SoCs, CPLDs, and complementary technologies, such as power solutions, to provide high-value solutions to customers worldwide
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