AI智能总结
Needs •Customer-hosted AI Training / Inference•Secure private connectivity to the cloud•Performant access to private data•Scalable footprint to support growth 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•Security and compliance for data•Maintain custody for sensitive company data 4.Enable TrustedEnd-User Requests 3.Data Integrated acrossTrusted Sources 7.SD-WAN – Software-Defined Wide Area Network8.VPN – Virtual Private Network9.HPC – High-Performance Compute10.CPE – Customer Provided Equipment11.PPE – Partner Provided Equipment12.GPU – Graphics Processing Unit13.HD or Std – High-Density or Standard Cabinet14.BI – Business Intelligence Analytics Tools