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ASUS and Poesis test autonomous AI trading on local system

The week-long experiment used live capital for research, risk management and trade execution within predefined mandates.

ASUS and Poesis 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.

The ASUS ExpertCenter Pro ET900N G3 deskside AI supercomputer is now shipping. It is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and delivers up to 20 PFLOPS of AI performance with 748GB of coherent memory. The ET900N G3 is built for secure enterprise AI, so organizations can develop, fine-tune, and run large AI models on their own premises.

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 show a fully autonomous, multi-agent AI investment system running on the ASUS ExpertCenter Pro ET900N G3, a deskside AI supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. The dashboard shows eight AI portfolio-manager agents, each running a different investment strategy from long-only value to market-neutral quant. All eight agents use NVIDIA Nemotron 3 Super and run on a single deskside machine.

The collaboration reflects growing interest across industries in moving agentic AI from experimentation towards practical development, particularly in asset management.

Built on NVIDIA DGX Station powered by NVIDIA Blackwell Ultra

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.

For more information, visit asus.com/et900n-g3.