As enterprises move beyond AI experimentation into production-scale deployment, data infrastructure has become a critical factor in determining AI success.
Traditional storage architectures often struggle to support the growing demands of AI-driven workloads, including large-scale unstructured data management, vector-based retrieval, data mobility, and enterprise-grade resilience. Organizations need a storage platform that not only delivers performance and reliability but also provides a scalable foundation for future AI initiatives.
Join our upcoming webinar to discover how Sangfor aStor 5.3.2R1 helps enterprises build AI-ready data infrastructure through enhanced object storage capabilities, vector bucket innovation, unified data management, and strengthened data protection mechanisms.
What You'll Learn:
- AI-Ready Storage Strategy: Key storage requirements as enterprises transition from AI pilots to production-scale applications.
- Modern Unstructured Data Management: How unified visibility and access across storage assets simplify data operations and improve efficiency.
- AI Data Platform Innovation: Leveraging object storage and vector buckets to support emerging AI and GenAI use cases.
- Enterprise-Grade Data Resilience: Enhancements in asynchronous replication, encryption, and reliability to protect critical business data.
- New Business Opportunities: Recommended scenarios and positioning strategies for customers and partners adopting AI infrastructure.
MEET OUR SPEAKER
Cheney Hu
Sangfor Senior Cloud Product Manager
Cheney is a Senior Product Manager for HCI at Sangfor Technologies, where he contributes to document establishment, strategy execution, and training delivery. Cheney has abundant experience in storage and virtualization. He joined Sangfor IMD in March 2016 as Senior Product Manager for HCI, taking the role as a key contributor to HCI document establishment, strategy execution and training delivery.
