Scalable High-Performance AI Clusters with Built-in Security and Performance

Hybrid meeting: In-person, Zoom, and YouTube

Nan Liu, Founder & CEO and Michael Francisco, Co-Founder & Chief Technology Officer (CTO) of Quantea Corporation

ABSTRACT
The Quantea QAI Cluster presentation introduces a high-performance, scalable, and cost-optimized alternative to traditional cloud-based and proprietary AI infrastructure. Designed for enterprise-class AI workloads, the QAI Cluster delivers a modular, on-premises solution that enables organizations to deploy compute environments tailored to specific GPU, storage, and OS requirements—while maintaining full ownership and control of their data.

Built with performance and observability in mind, the QAI Cluster integrates advanced telemetry, congestion analytics, and security enforcement directly into the fabric of the infrastructure. These capabilities are powered in part by Quantea’s patented deep packet inspection and anomaly detection technology (U.S. Patent No. US 20160248655A1), which provides real-time performance monitoring and intrusion detection without impacting throughput at scale.

The presentation includes quantitative comparisons against NVIDIA DGX clusters and public cloud offerings (AWS and Google Cloud), demonstrating 30–50% lower total cost of ownership across deployment lifecycles. Starting from a baseline of 4 NVIDIA H100 GPUs, QAI Clusters scale seamlessly to over 100 nodes with many GPUs, supporting massive distributed training, fine-tuning, and inference workloads. The platform features full compatibility with the NVIDIA software stack (including NCCL, CUDA, and AI Enterprise), high-bandwidth interconnects, and energy-efficient cooling options for sustained throughput and resilience.

With a pre-integrated and fully configurable architecture, QAI Clusters minimize deployment friction while maximizing operational transparency, making them an optimal solution for sectors such as healthcare, finance, manufacturing, and national security. Quantea’s infrastructure approach enables organizations to build sovereign AI systems—secure, cost-effective, and performance-optimized—from day one.

Join us in redefining AI infrastructure—accessible, secure, and built for the future.

SPEAKER BIOS
Nan Liu, Founder and CEO of Quantea. He has BS degree in Mathematics from State University of New York at Stony Brook. With over 25 years of experience in IT, software, networking, cybersecurity, and data storage, Nan Liu is proud to serve as the CEO of Quantea, a trailblazing company in network packet data analytics for AI infrastructure. his mission is simple yet impactful: to “Democratize AI for All.” Quantea is empower businesses of all sizes to own AI training and inferencing clusters that are affordable, scalable, and customized to their unique needs—because his believe that cutting-edge AI infrastructure should be accessible to every enterprise ready to harness its transformative potential.

Beyond technology, Nan Liu has a deep passion for classical music and film scores, finding inspiration in their artistry. He is also an enthusiast of martial arts, which keeps him grounded and disciplined as he navigate the fast-paced world of innovation.

Michael Francisco is the Co-founder and Chief Technology Officer (CTO) of Quantea Corporation. He holds a Bachelor’s degree in Computer Science and Electrical Engineering from San Jose State University. Since co-founding Quantea in 2011, he has led the development of cutting-edge network packet capture and analysis technologies, earning a U.S. patent. Under his leadership, Quantea has served prominent clients such as FedEx, CarMax, Softbank, NTT Docomo, Fujitsu, and Singapore Telecom.

Michael has BS degree in Computer Science and Electrical Engineering from San Jose State University. He has successfully integrated Quantea’s proprietary network performance monitoring and intrusion detection technology into AI training and inferencing infrastructures. This innovative approach enhances AI processing speed and security, positioning Quantea as a strong alternative to traditional cloud-based and proprietary infrastructure solutions.

Outside of his work at Quantea, Michael serves as president of the Union City Tennis Club and is a board member of the Fremont, Union City, and Newark Rotary Clubs. He is also a part of a team that will complete their first Spartan Race.

AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 – 8:30 finish, depending on Q&A

LOCATION
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA 93043

Valley Research Park is a coworking research campus of 104,000 square feet hosting 30+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.

As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/

If you want to join remotely, you can submit questions via Zoom Q&A.
Zoom: https://acm-org.zoom.us/j/94120903119?pwd=Jo6mCg2HY8plidj6wCxSR2kmOuplEv.1
YouTube: https://youtube.com/live/fGdXk38897Y

Join SF Bay ACM Chapter for an insightful discussion.