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Deep Learning AMI Amazon Linux 2, provided by SupportedImages, offers a streamlined environment for developing AI applications with pre-installed frameworks, tools, and libraries, facilitating ease of deployment and experimentation for data scientists and developers.
Designed for efficient deep learning model development, Deep Learning AMI Amazon Linux 2 integrates essential resources such as TensorFlow, PyTorch, and MXNet, allowing experts to swiftly initiate projects. Its seamless compatibility with AWS services ensures it supports scalable training and deployment processes. Ideal for both prototyping and production tasks, it minimizes setup times while maximizing performance. Flexibility in customization allows users to adapt the environment to their specific requirements, enhancing the research and implementation spectrum.
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In healthcare, Deep Learning AMI Amazon Linux 2 facilitates rapid deployment of AI solutions for predictive analytics, enhancing patient care through real-time insights. In finance, it supports algorithmic trading strategies by enabling speedy data processing and model execution. Such versatility makes it a valuable asset across sectors prioritizing agility and precision in technology adoption.
Express for Energy Data Insights is a fully managed, pay-as-you-go, metered, as-a-Service AWS Marketplace fulfillment model for AWS’ Energy Data Insights (“EDI”) distribution for the OSDU® Data Platform. Fulfillment options include Platform-as-a-Service (into customer-provided AWS accounts) or Software-as-a-Service (into AWS accounts provided by Express for Energy Data Insights). Express for EDI allows customers to easily launch multiple instances of the OSDU Data Platform using the fulfillment method and fulfillment parameters that they choose. EDI data platform offerings include dedicated and multi-tenant variants to cover common customer use cases. Express for EDI includes easy-to-use portals, consoles, and user interfaces that allow customers to launch new EDI data platform instances, view their current instance subscriptions, manage updates, administer and manage each EDI data platform instance, and use a management console to interact with OSDU APIs.
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