Webinar

Managing Your Network for AI Workloads

Available on-demand

30 Minutes

As enterprises operate in hybrid and multi-cloud environments, data is becoming more distributed, and AI is delivering a real turning point for gaining more business agility, it is critical that management of your network remains a key focus. After all, the network is the framework that links these workloads and guarantees that essential business information is readily accessible.

Don't miss this valuable 30-minute discussion with industry experts at Google to gain important and actionable insights. Discover how you and your organization can successfully secure, streamline, and scale your network to ensure your applications run effectively.

Speakers

Muninder Singh Sambi

Vice President, Product Management

Google Cloud Networking

Muninder Singh Sambi is Vice President of Product Management for Networking at Google Cloud. He is responsible for setting the strategy, vision and investment strategy for Google Cloud Networking and Network Security products. Muninder carries over 25 years of leadership experience in product management and engineering within global high-technology environments. He has a proven track record for building next generation security, networking and as-a-service software products that have generated billions of dollars in revenue. A technical leader adept at managing product transitions, leading cross-functional, global product management teams, and outbound marketing teams. Muninder holds an Electronics and Communication degree and an MBA. He holds 8+ US patents in networking and security.

Neelay Shah

Principal Software Architect

NVIDIA

Neelay Shah is the principal software architect for NVIDIA Triton Inference Server and an AI solutions engineer. His focus is on enabling developers with a smooth transition from prototyping to high-performance production deployments at scale. Before joining NVIDIA, Neelay was a principal engineer at Intel leading open source projects for computer vision pipelines. He has a bachelor’s degree in computer science from Williams College and a master’s degree in computer science from UIUC.

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Duration:

30 Minutes