QUANT AI Lab unveils Virgo, a new AI architecture that cuts costs by 50%, improves precision, and operates without data centers.
QUANT AI Lab has introduced Virgo, a novel AI architecture designed to address the inefficiencies of traditional large language models. Virgo leverages a multimodal, brain-inspired approach combining competitive learning, micro-agents, and minority-report logic to deliver higher accuracy, lower costs, and reduced computing time. The architecture is notable for its ability to operate without reliance on massive data centers, making it a sustainable and sovereign solution for enterprises.
Virgo’s design directly targets the four main flaws in current AI models: oversized algorithms, excessive data center usage, generic learning, and high deployment costs. By focusing on mathematical efficiency and mimicking human brain functions, Virgo enables organizations to accelerate value creation while minimizing infrastructure investment. This launch positions QUANT AI Lab as a leader in rethinking AI for sustainable, enterprise-grade applications.
Source: quant.global