AMD has announced the AMD Alveo™ UL3422 accelerator card, the latest addition to its record-breaking family of accelerators1 designed for ultra-low latency electronic trading applications. AMD Alveo UL3422 provides trading firms, market makers and financial institutions with a slim form factor accelerator optimized for rack space, cost and designed for a fast path to deployment in a wide range of servers.
The Alveo UL3422 accelerator is powered by an AMD Virtex™ UltraScale+™ FPGA that features a novel transceiver architecture with hardened, optimized network connectivity cores, custom built for high-speed trading. It enables ultra-low latency trade execution, achieving less than 3ns FPGA transceiver latency and breakthrough ‘tick-to-trade’ performance not achievable with standard off-the-shelf FPGAs1.
Speed is the ultimate advantage in the increasingly competitive world of high-speed trading,” said Yousef Khalilollahi, corporate vice president & general manager, Adaptive Computing Group, AMD. “The Alveo UL3422 card provides a lower-cost entry point while still delivering cutting-edge latency performance, making it accessible to firms of all sizes that want to stay competitive in the ultra-low latency trading space.”
New Slim Form Factor for Cost-Effective Deployment
The Alveo UL3422 accelerator card is packaged in a slim FHHL (full height, half length) form factor designed to fit into a wide range of servers and co-location exchange data centers.
Compared to its predecessor, the Alveo UL3422 accelerator reduces port density, on-board memory, and connectivity options, while still being powered by the same AMD Virtex UltraScale+ VU2P FPGA for ultra-low latency.
As a result, the Alveo UL3422 is half the size with equivalent performance to the existing Alveo UL3524 accelerator card which holds the current STAC-T0 benchmark world record for tick-to-trade performance1. The slim FHHL form factor of the Alveo UL3422 allows financial institutions to cost-effectively optimize compute density and rack-space.
The Alveo UL3422 supports traditional FPGA flows using the AMD Vivado™ Design Suite and comes with a suite of reference designs and performance benchmarks that allow FPGA designers to quickly explore key metrics and develop custom trading strategies to specification.
AMD is also providing developers with the open-sourced and community-supported FINN development framework, enabling low-latency AI models to be deployed into high-performance trading systems. FINN uses PyTorch and neural network quantization techniques designed to reduce the size of AI models while maintaining accuracy. The FINN compiler generates Quantized Neural Network (QNN) Hardware IP blocks that can be used with AMD FPGAs.
The AMD Alveo UL3422 accelerator card is currently available and shipping in production volumes to global financial services customers.
