Own Your Own AI Infrastructure that is Scalable, Affordable, & Secure!
Details
This is an online event.
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Participants can be located anywhere in the world!
This event is FREE to attend!
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The speaker will discuss:
Why Now is the Time for Your Own AI Cluster:
- Cut Costs: Avoid rising cloud expenses. Access powerful AI capabilities at a fraction of the cost - achieve high-performance without recurring fees.
- Data Control: Retain full ownership of your data and AI workloads. With built-in security and performance monitoring, your infrastructure is always protected and optimized.
- Meet Your Budget: fully integrated, customizable, and budget-friendly alternative that allows businesses to deploy, manage, and scale their AI capabilities without the usual obstacles
- Seamless Scalability: Easily scale with your business needs, providing flexibility without requiring in-house AI expertise.
- All-in-One Solution: Fully integrated with GPU servers, storage, Linux pre-installed, and DHCP configured—ready for immediate use.
- Future-Proof Your Business: Owning your AI cluster ensures you stay competitive in an AI-driven market, with the ability to innovate faster.
Get the perfect blend of affordability, control, and scalability -- the ideal solution for enterprises ready to embrace AI without breaking the bank!
The Quantea QAI Cluster presentation introduces a powerful, scalable, and cost-effective alternative to traditional cloud-based or proprietary AI infrastructure solutions. It positions Quantea as a champion of democratizing AI by making high-performance computing accessible to businesses of all sizes. Through a combination of modular design, affordable pricing, and built-in performance monitoring and security features, the QAI Cluster empowers organizations to deploy on-premises AI clusters that meet their specific GPU, storage, and operating system needs—while maintaining full control over their data.
The presentation showcases detailed cost comparisons against NVIDIA DGX Cluster and public cloud offerings (AWS and Google Cloud), illustrating how QAI Clusters can reduce total cost of ownership by 30–50%. With flexible configurations starting from just 4 NVIDIA H100 GPUs and scaling to over 100 nodes with many GPUs, the system supports everything from early-stage experimentation to enterprise-scale AI workloads. The platform also emphasizes energy efficiency, ease of deployment, and compatibility with NVIDIA stacks, all while incorporating real-time performance monitoring and intrusion detection. Designed for industries ranging from healthcare to finance, the Quantea QAI Cluster is also fully integrated and preconfigured at all-in-one convenience and positioned as the intelligent path to owning your AI future—securely, affordably, and on your terms.
Please come with your questions and scenarios.
About the Speaker:
Nan Liu is the CEO of Quantea, a leading innovator in network packet data analytics and AI infrastructure. With over 25 years of experience spanning IT, networking, cybersecurity, and data storage, Nan has established himself as a visionary leader in the tech industry. His expertise has driven Quantea to the forefront of network performance optimization and security through its cutting-edge data analytics platforms.
Under Nan's leadership, Quantea’s products enable businesses to harness the power of real-time network data for enhancing performance, securing networks, and supporting AI model training and inference at scale. His commitment to leveraging network data for operational efficiency and AI applications has positioned Quantea as a critical player in the advancement of AI-driven infrastructure.