AI智能总结
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