您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。[里瑞通]:PDx®:人工智能工作流程——多云 - 发现报告

PDx®:人工智能工作流程——多云

信息技术2024-07-15里瑞通土***
PDx®:人工智能工作流程——多云

AI Training by Cloud Provider, AI Inference from Customer Private Cloud, Data from Anywhere Needs •Cloud-hosted AI Training•Customer-hosted AI Inference•Secure private connectivity to trusted data•Performant access to data anywhere Challenges •Cost-effective training for AI Models•Unpredictable scaling requirements•Speed transfer of large data volumes•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 throughput reduces latency•Security and compliance for data•Scalability of hosted GPUs for AI processing 4.Data Integrated acrossTrusted Sources 3.AI Inference hostedon Private HPC 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