AWS Summit NYC - Networking Happy Hour | Rafay

AWS Summit NYC - Networking Happy Hour

Come join PagerDuty, Sysdig, Rafay, and HashiCorp for an unforgettable night at Edge in NYC! Enjoy cocktails and bites while experiencing the highest outdoor sky deck in the Western Hemisphere with breathtaking 360-degree NYC skyline views. Elevate your experience and take part in this exclusive one-of-a-kind event with us on the 100th floor. From the top of the world, it's a night you won't want to miss! Register Now!
Who Should Attend
This event is suitable for technology leaders, information security decision makers, and platform leads including, but not limited to: CXO (CTO, CIO, Chief Digital Officer, Chief Customer Officer), VP/Director of IT; mid-level information security management (Senior Security Manager, IT Security Manager, IT Manager), technical information security practitioners (Security Engineer, Messaging Architect, IT Analyst), VP/Director of Platform Engineering, Enterprise Architect, Cloud Architect, Platform Architect, Chief Architect, Cloud Engineer, Platform Engineer, Platform Owner, Director/VP of Customer Service. This event is not open to channel or technology partners.
NOTE: Registration requires a valid email address from your organization’s domain, so Gmail, Hotmail, AOL, Yahoo, or any other ISP are not accepted.

Rafay's Valued Partnerships:

Featured Resources

Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

GPU cloud evaluation report
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.

From GPUs to Revenue: A Practical Guide to AI Factory Builds
This white paper breaks down what it actually takes to turn GPU investments into measurable business outcomes.

AI Token Factory
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption. Production-ready AI APIs run on GPU infrastructure while maintaining governance, multi-tenancy, and operational control. Token-metered consumption provides visibility into usage and enables internal chargeback or monetization models.