Google Cloud Cross-Cloud Network

Google recently announced many new networking features that optimise traffic for AI applications

Workloads including generative AI and AI/ML are cited by 66% of businesses as one of the main uses for multicloud networking

The Model as a Service Endpoint offers an answer to the particular needs of applications involving AI inference

App Hub serves as a hub for managing workloads, services, and apps for all of your cloud-based projects

LLM applications require the shortest queue depths for pending prompts in order to maintain consistent end-user response times

Numerous built-in features of Google Cloud Networking can improve the dependability, effectiveness

The high availability of the model service endpoint is crucial for model makers