February 5, 2024

The Data Revolution: FPGA Advances and Their Impact on E-Trading and AI Workflows

Low-latency computing is becoming increasingly necessary as the world becomes increasingly dependent on data-intensive applications. FPGAs, or field programmable gate arrays, have become a potent real-time computing platform. A number of top companies in the computer industry, including AMD, Intel, and Lattice Semiconductor, released a number of innovations this autumn.

AMD Unveils FPGA Accelerator

The AMD Alveo UL5324 accelerator card is our first product spotlight. AMD created the Alveo UL5324 accelerator, following rigorous FPGA verification processes, for finance applications, including ultra-low latency electronic trading. The device uses the AMD Virtex UltraScale+ VU2P FPGA, which has 1,722 K logic cells, 1,680 DSP slices, 787 K LUTs, and 125 W TDP. AMD claims that the custom-designed FPGA has 7x lower transceiver latency than earlier FPGAs, resulting in less than 3 ns. The single-slot, PCIe CEM4.0-compliant UL3524 speeds up trade and boosts company efficiency.

Intel Expands FPGA Portfolio

Intel expanded its Agilex FPGA line, making ripples in the FPGA industry. Due to the massive expansion, Intel has launched 11 of 15 new products in 2023, boosting Programmable Solutions Group revenue by 35%. Categories in the Agilex series address certain applications. B-series FPGAs optimize board and system management with increased I/O density, compact form factors, and lower power than Intel MAX 10 FPGAs. Complex programmable logic devices (CPLDs) and FPGA applications may use the extended capabilities of the C-series FPGAs.

The Agilex portfolio’s performance metrics are appealing. E-series Agilex 5 FPGAs provide up to 1.6x greater performance per watt than 16 nm node competition. Intel asserts that this performance is made possible by the Intel Hyperflex FPGA design of the second generation in conjunction with Intel Process technology. I’m late because my meeting ran over. These FPGAs are a possibility for edge AI applications since they also include the first AI tensor block in the industry.

FPGA With Embedded Vision from Lattice

Bunch of CPU, central processor units and RAM, random-access memory, isolated background Bunch of CPU, central processor units and RAM, random-access memory, isolated background. Main electronic circuitry for computer. Top view, flat lay FPGA Asic stock pictures, royalty-free photos & images

Lattice Semiconductor recently launched its CrossLinkU-NX FPGA series. According to the company, the new Lattice FPGA series is the first to feature USB capabilities. The devices have hardened USB 2.0 to a maximum of 489 Mbps and USB 3.2 up to 5 Gbps. The business highlights this solution’s suitability for low-power AI vision applications, a scenario where the debate of FPGA vs ASIC becomes crucial, with FPGAs offering unparalleled adaptability. Lattice’s CrossLinkU-NX FPGAs provide low-power sleep mode and a full set of reference designs to simplify USB-based computer, industrial, automotive, and consumer solutions.

FPGA Improvements Across the Board

These three announcements show FPGAs’ many application cases. Device manufacturers appear to prioritize latency and battery efficiency with each application. In an intensely competitive computing industry, the next generation of FPGAs must keep up with major semiconductor firms, delivering faster, more power-efficient, and more innovative FPGA-based solutions.


AMD, Intel, and Lattice Semiconductor’s FPGA technological advances signify a major computing milestone. These advancements improve electronic trading and AI operations and create new norms for low-latency, high-efficiency computing across sectors. As FPGAs grow more important in data-intensive applications, they drive the data revolution. FPGAs become essential instruments for faster, smarter, and more efficient computing solutions as technology advances, ushering in a new age of technical change and industrial transformation.

About the author 

Kyrie Mattos

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