ASUS and Poesis Test a Self-Trading AI Agent with Live Capital
7 Articles
7 Articles
ASUS and Poesis tested for a week an artificial intelligence agent who investigated markets, managed risks, and carried out operations with real capital. The experiment anticipates a transformation of trading, while the former crypto exchanges develop accounts, permits, and limits for agents capable of acting without constant human instructions.
ASUS and Poesis test autonomous AI trading on local system
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 …
ASUS and Poesis test a self-trading AI agent with live capital
ASUS and Poesis partnered for a week-long experiment in which autonomous AI agents conducted market research, managed risk, and performed real trades. According to the announcement from the two companies, the agents worked on the ASUS ExpertCenter Pro ET900N G3 laptop with the use of NVIDIA tech. The significance of the experiment lies not only...
ASUS and Poesis Team Up on Autonomous Trading Agents Powered by NVIDIA Technologies
Test Offers a Glimpse of Possibilities for Agents Using Live Capital on Deskside Supercomputer KEY POINTS Autonomous AI agents trade in live financial markets: ASUS and Poesis completed a week-long experiment in which agentic AI agents independently ... L'articolo ASUS and Poesis Team Up on Autonomous Trading Agents Powered by NVIDIA Technologies è un contenuto originale di 01net.
According to ChainCatcher, ASUS has partnered with Poesis to create an autonomous trading broker using NVIDIA (NVDA.O) technology.
Asus and Poesis reportedly working to develop self-driving trading agents
The collaboration could revolutionize trading efficiency but raises accountability and regulatory challenges in AI-driven financial markets.
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