AMD reveals FPGA-based accelerator designed for lightning-fast electronic trading with minimal latency.

October 2, 2023 by our News Team

AMD has released the Alveo UL3524 accelerator card, a fintech accelerator providing ultra-low latency electronic trading with 7X faster performance than previous FPGA technology.

  • 7X latency improvement over previous generation FPGA technology
  • Custom 16nm Virtex UltraScale+ FPGA with hardened, optimized network connectivity cores
  • Open-sourced FINN development framework to simplify the adoption of AI in algorithmic trading

AMD has announced the release of the AMD Alveo UL3524 accelerator card, a fintech accelerator designed for ultra-low Latency electronic trading applications. The Alveo UL3524 provides traders and financial institutions with a state-of-the-art FPGA platform for electronic trading at nanosecond speed. It delivers a 7X latency improvement over previous generation FPGA technology, achieving less than 3ns FPGA transceiver latency for accelerated trade execution. The card features a custom 16nm Virtex UltraScale+ FPGA with hardened, optimized network connectivity cores for breakthrough performance. It offers hardware flexibility and supports AI-enabled trading strategies, allowing traders to tailor their designs to evolving market conditions. AMD is also providing developers with the open-sourced FINN development framework to simplify the adoption of AI in algorithmic trading. The Alveo UL3524 is already being used by strategic partners such as Alpha Data, Exegy, and Hypertec to build custom solutions for the fintech market. The accelerator card is currently in production and shipping to global financial services customers.

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Background Information

About AMD: AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

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Technology Explained

FPGA: Field Programmable Gate Arrays (FPGAs) are a type of technology used in the computer industry. They are integrated circuits that can be programmed to perform specific tasks. FPGAs are used in a variety of applications, including digital signal processing, networking, and embedded systems. They are also used in the development of artificial intelligence and machine learning algorithms. FPGAs are advantageous because they can be reprogrammed to perform different tasks, allowing for greater flexibility and faster development times. Additionally, FPGAs are more energy efficient than traditional processors, making them ideal for applications that require low power consumption.

Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.

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