금융 인프라에서도 최신 컴퓨팅 하드웨어 교체 수요가 일어나고 있다. 금융 업계 요구 사항을 충족하는 다양한 컴퓨팅 엔진 채택을 통해 미래 AI 금융 시대를 대비하고 있다.
Global Market Maker Optimer to Build AMD Chipset-Based Systems
The demand for the latest computing hardware replacement is also occurring in the financial infrastructure. We are preparing for the future era of AI finance by adopting various computing engines that meet the needs of the financial industry.
AMD announced on the 8th that Optiver, which is active on over 100 exchanges, has adopted AMD's various high-performance computing engines to improve financial markets by building a modern infrastructure.
Optiver said it is seeking to build a system utilizing the following: AMD EPYC™ processors, AMD Solarflare low-latency Ethernet adapters, AMD Virtex™ FPGAs, and AMD Alveo™ adaptive accelerators.
Optima explains that its ultimate goal is to provide faster access to key data and information needed to meet the unique needs and workflows of the financial industry. The company said it was able to scale and optimize its products by moving more information faster with high-performance Alveo ultra-low latency accelerators, and building high-performance transaction systems and infrastructure using AMD FPGAs and AMD EPYC CPUs.
“We are constantly pushing the boundaries, from challenging the speed of light to minimizing latency to building the world’s largest compute scale,” said Alexander Itkin, chief technology officer at Optiver US. “We need a compute infrastructure that can navigate the complexities of capital markets in nanoseconds, and AMD’s high-performance products make that possible.”
“AMD is uniquely positioned to meet the needs of enterprise customers with a portfolio of compute engines that deliver performance and energy efficiency—two key building blocks of the modern data center,” said Archana Vemulapalli, corporate vice president, AMD Commercial Enterprise. “Our collaboration with Optiver is a key example of the performance of AMD commercial solutions and their ability to solve our customers’ current and future challenges.”