10/17/2025
X-FLEXI Announces Strategic Collaboration with NVIDIA to Deploy NVIDIA GB200 NVL72 Cabinets and Build the Next-Generation AI Computing Integration Center
Initial budget exceeds USD 6 million, accelerating full-stack performance for algorithmic research, quantitative strategies, and real-time risk control
October 17, 2025
Global intelligent quantitative and algorithmic trading platform X-FLEXI today announced a close collaboration with NVIDIA, centered on the deployment of next-generation computing architectures such as the NVIDIA GB200 NVL72, to launch the construction of its AI Computing Integration Center.
The initial budget of the project exceeds USD 6 million, dedicated to the introduction of full-cabinet computing systems and the upgrade of supporting data center infrastructure — including networking, cooling, and operations management.
This center will serve as the computational backbone for X-FLEXI’s end-to-end acceleration in key areas such as model training and fine-tuning, low-latency inference, real-time risk control, style transfer, and retrieval-augmented generation (RAG).
“At the intersection of AI and quantitative trading, computing power is productivity.
Through our deep collaboration with NVIDIA, we are shortening and stabilizing the critical path from data to model to ex*****on, continuously transforming research capabilities into visible, tangible strategy experiences for our users,”
said Santiago David, Chairman of X-FLEXI.
“Advanced architectures like the GB200 NVL72 represent the new computing paradigm for next-generation AI-native applications.
We are committed to long-term, sustainable investment in building an open, compliant, and resilient technological foundation.”
X-FLEXI emphasizes that it does not guarantee capital protection or fixed returns without cost, and will continue to operate in compliance with relevant regulations within applicable jurisdictions.
Users are advised to fully understand the risks associated with digital assets and quantitative strategies, and to allocate funds prudently based on their individual risk tolerance