PDx®：人工智能训练/推理-混合云

Needs •Cloud-hosted AI Training / Inference•Secure private connectivity to the cloud•Performant access to private data•Scalable footprint to support growth Challenges •Cost-effective training for AI Models•Unpredictable scaling requirements•Integrating private infrastructure•Maintaining security and compliance of data Actions •Establish direct connections to public cloud•Connect to your private infrastructure•Deploy your private infrastructure in colocation•Operationalize Digital Infrastructure Hub Benefits •Cloud-adjacent colocation reduces latency•Performant access shortens training cycles•Security and compliance for data•Scalability of hosted GPUs for AI processing 3.Bring Public Cloudto Private Data 4.Enable TrustedEnd-User Requests 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