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
These developments demonstrate Google’s dedication to providing cutting-edge solutions that enable companies to fully utilise artificial intelligence
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