AWS 提供种类最广泛的计算实例、存储类、数据库和分析,所有这些都是专门为提供最佳成本和性能而设计的。其中包括最全面的人工智能和数据服务集,包括您选择的用于构建生成式人工智能应用程序的领先 FM。借助 AWS 将应用程序迁移到云,可以更快、更轻松、更经济地将应用程序迁移到云或构建您能想象的几乎任何东西。
AWS Deep Learning AMIs bieten ML-Anwendern kuratierte, sichere Frameworks, Abhängigkeiten und Tools zur Beschleunigung und Skalierung von Deep Learning in der Cloud.
首先不得不提到在AWS里具有基础地位的VPC(Virtual Private Cloud)。VPC就像是一个属于你的私人云上领地,让你在云中创建自己的虚拟网络环境,还能让你像乐高积木一样自由拼接和定制你的网络拓扑结构。 你可以设置路由规则、配置访问控制列表,构建一道坚实的网络防线,保护你的应用和数据免受恶意入侵。 02 VPC Peering(私...
migrate and modernize your VMware workloads on AWS Cloud Achieve cost-effective and risk-free migration with IBM's generative AI-based factory model Some organizations are looking at cloud transformation journeys to help manage IT costs, enable digital business models and improve virtual machine (VM)...
Container Service for Kubernetes (ACK) Huawei Elastic Cloud Server Elastic Compute Service Huawei Relational Database Service Relational Database Service Tencent Cloud Virtual Machine Elastic Compute Service Azure Virtual Machines Elastic Compute ServiceIDC TCO分析 ...
AWS Deadline Cloud DynamoDB Accelerator Amazon Detective AWS Device Farm Amazon DevOps Guru AWS Directory Service AWS Database Migration Service Amazon DocumentDB (with MongoDB compatibility) Amazon DocumentDB (with MongoDB compatibility) elastic Amazon DynamoDB ...
This NGC on AWS Virtual Machines documentation explains how to set up an NVIDIA AMI on Amazon EC2 services, and also provides release notes for each version of the NVIDIA image.
根据你的需求,选择合适的AWS服务。例如,如果你需要构建一个Web应用程序,你可能会选择使用EC2(Elastic Compute Cloud)来创建虚拟机实例,以及使用S3(http://hao951.com/474747/)来存储静态文件和图片。 创建EC2实例 在EC2控制台中,选择你需要的实例类型(http://zhaoxinfd.com/474747/),配置安全组和网络设置,然后启...
1. Machine Learning and AI Capabilities Google Cloud stands out for its industry-leading machine learning and artificial intelligence capabilities. From pre-trained AI models to custom machine-learning tools. Startups can harness the power of AI to drive data-driven insights, enhance customer experie...
DeepRacer-For-Cloud Provides a quick and easy way to get up and running with a DeepRacer training environment using a cloud virtual machine or a local compter, suchAWS EC2 Accelerated Computing instancesor the AzureN-Series Virtual Machines. ...