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Home News

AMD Launched World’s Fastest Electronic Trading Accelerator- Alveo

Arshi Khan by Arshi Khan
October 15, 2024
A A
AMD Alveo

Image: AMD Alveo UL3422 accelerator (Credit: AMD)

AMD announced the AMD Alveo UL3422 accelerator card, the latest addition to its accelerator line designed for ultra-low latency electronic trading applications. It 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.

AMD Alveo UL3422 provides trading firms, market makers, and financial institutions with a slim form factor accelerator optimized for rack space and cost and designed for a fast path to deployment in a wide range of servers.

The Alveo UL3422 accelerator reduces port density, onboard memory, and connectivity options while still being powered by the same AMD Virtex UltraScale+ VU2P FPGA for ultra-low latency.

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. 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 FPGAs.

“Speed is the ultimate advantage in the increasingly competitive world of high-speed trading,” said Yousef Khalilollahi, corporate vice president & general manager of 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.”

Also Read: AMD acquires ZT Systems for $4.9 billion to expand data center AI capabilities

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Arshi Khan

Arshi Khan

A research-focused journalist covering enterprise technology, AI, and cybersecurity. Reporting combines market data, expert interviews, and on-ground industry inputs to produce accurate, context-driven stories for business decision-makers. She can be reached at [email protected]

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