Unlock the full potential of Hybrid AI without compromising on security.

As organizations accelerate their adoption of Generative AI and Machine Learning, the infrastructure reality is rarely simple. Data often resides on-premise, while the most powerful compute and model capabilities live in the cloud. Bridging this gap requires more than just connectivity—it requires a "fortified" architecture.

Join Google Cloud Gandhinagar for an exclusive virtual deep dive into the intersection of advanced networking, security, and AI operations.

In this session, Akshay Jain will guide us through the architectural patterns necessary to build secure, high-performance hybrid networks specifically designed for AI workloads on Google Cloud. We will move beyond basic VPC setups to explore how to protect model IP, secure training data pipelines, and ensure compliant connectivity between your private data centers and Vertex AI.

Key Takeaways:

• Hybrid Connectivity Patterns: Best practices for linking on-prem environments to Google Cloud for low-latency AI inference and training.

• Securing Vertex AI: Implementing Private Service Connect (PSC) and VPC Service Controls to lock down AI endpoints.

• Data Protection: Strategies to prevent data exfiltration while maintaining seamless access for data scientists and ML engineers.

• Network Observability: Monitoring traffic flows within complex, hybrid AI architectures.

Who Should Attend:
Cloud Architects, DevOps Engineers, Security Specialists, and ML Engineers looking to harden their infrastructure.