ASUS and Poesis today announced the results of a week-long experiment that successfully deployed agentic AI to trade autonomously in financial markets. The system ran entirely on the ASUS ExpertCenter Pro ET900N G3, a deskside supercomputer built on the NVIDIA DGX Station platform, powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. Throughout the test, all models, agents, and workflows ran locally on the ASUS ExpertCenter, showing that agents can function in live markets without relying on cloud-based AI infrastructure.
ASUS and Poesis complete week-long experiment with autonomous AI trading agents
System ran entirely on ASUS ExpertCenter Pro ET900N G3 deskside supercomputer
Powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
Agents independently conducted investment research, risk management, and trade execution
Used live capital within predefined mandates
Demonstrated local execution without dependence on cloud-based AI infrastructure
"While this was an early-stage experiment, it showed that agents can operate continuously in live markets while remaining within clearly defined constraints," said Alex Popa, Founder and CEO of Poesis, an AI-native asset manager developing agentic systems for financial markets.
The collaboration reflects growing interest across industries in moving agentic AI from experimentation towards practical development, particularly in asset management.
"Working alongside Poesis at the intersection of AI and financial markets gave us valuable insights," said Yen Hoang, Director of Marketing, B2B, ASUS North America. "As agentic AI continues to evolve, projects like this are essential to helping us better understand how autonomous investment workflows can be developed and deployed in real-world trading environments."
The week-long experiment ran on the ASUS ExpertCenter Pro ET900N G3, powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. Featuring up to 20 petaFlops of AI performance and 748GB of coherent memory, the system enabled Poesis to deploy a multi-agent AI workflow locally on a single machine. Using live capital, the agents autonomously handled investment research, risk management, and trade execution while operating within predefined mandates.
The dashboard showed eight AI portfolio-manager agents, each running a different investment strategy from long-only value to market-neutral quant. All eight agents used NVIDIA Nemotron 3 Super and ran on a single deskside machine.
About ASUS
ASUS is an innovative technology leader delivering the world's most comprehensive AI solutions across Infrastructure, Physical AI, AI PC/Devices, and Engineering the AI Advantage. Guided by its "Ubiquitous AI. Incredible Possibilities" strategy, ASUS is bringing enterprise-to-edge AI to life. The ASUS portfolio also includes the ROG and ProArt sub-brands, which serve gamers and creators worldwide.
About Poesis
Poesis is an AI-native asset manager developing agentic systems that research, manage risk, and trade, deploying AI-led investment strategies in live markets. Poesis was founded by Alex Popa, previously a partner and portfolio manager at Capital Group, and Charles Elkan, former Global Head of Machine Learning at Goldman Sachs.
