AI智能总结
Needs •Customer-hosted AI Training / Inference•Secure private connectivity to the Cloud•Performant access to private data•Store and manage large, diverse data efficiently Challenges •Train public AI Models on private data•Integrating private infrastructure•Maintaining security and compliance of data•Managing end-to-end AI workflows Actions •Establish direct connections to customer facilities•Connect to your private infrastructure•Deploy your private infrastructure in colocation•Operationalize Digital Infrastructure Hub Benefits •Adjacent metro colocation reduces latency•Performant access shortens training cycles•Manage large data volumes (structured / unstructured)•Maintain custody for sensitive company data