Cloud Smart: Rebalancing the Hybrid Cloud Approach
Data insight begins at the edge, where it is generated and processed for real-time or near real-time analysis and action. This is why enterprises need to create edge experiences that are cloud-connected, and data enabled to unlock value of that data.Learn how to solve today’s challenges: Unprecedented data growth Increased distribution of workloads and work forces The right mix of hybrid cloud, including on-premises vs. off-premises; CAPEX vs. OPEX Costs of public cloud, including data movement and egress fees How to determine what types of data can be hosted in “the cloud” versus in private DC facilities Our speakers will review how you can: Adopt a data-centric mentality and philosophy Drive a unified service delivery and unified experiences across a multi-cloud environment Speed up decision velocity enterprise-wide via secure connectivity across edge to cloud Have choice, flexibility, and control of your data assets The webinar will be presented in English. Closed captioning in Spanish, Portuguese, French, German, Italian, Japanese, Korean and Simplified Chinese will be available across AMER, EMEA and APAC broadcasts.AI/ML Solutions for Large-Scale Development and Deployment
Join Equinix at NVIDIA #GTC22 to hear the latest breakthroughs in AI and for our on-demand session where we’ll explore new consumption models for AI infrastructure that make it easier for enterprises to speed time-to-insight. About the Session In a recent survey, 91% of enterprise respondents indicated a preference for hybrid cloud infrastructure for AI development, and 93% said hosted/managed infrastructure services is critical to AI success. Businesses today are turning to new approaches that can simplify and expedite the process of delivering business-critical AI apps without the complexity of standing up their own infrastructure, or building out their own data centers. In this joint Equinix and NVIDIA session, we’ll explore new consumption models for AI infrastructure that make it easier for enterprises to speed time-to-insight.
