What is Anyscale Platform?
The Anyscale Platform provides a unified platform for developers to build, deploy, and manage machine learning and distributed computing applications. With its unified platform, Anyscale makes it easy to develop, debug, and deploy applications at scale with minimal effort. Anyscale's platform is built with cloud-native technologies, meaning that apps can be deployed on any public or private cloud, on-premise, or in hybrid environments. The platform provides a comprehensive suite of tools that allow developers to easily develop, debug, and deploy applications for a variety of use cases, including machine learning, analytics, and data science. With its simple and intuitive interface, developers can quickly develop, debug, and deploy their applications, resulting in time and cost savings. For those looking to get up and running quickly, the Anyscale Platform provides easy-to-follow tutorials and templates to help get started.
Anyscale Platform, a fully managed Ray platform
The Anyscale Platform offers a fully managed Ray platform that accelerates the deployment and execution of distributed applications. The platform is built to help businesses build, deploy, and operate distributed applications at large scale. It supports a variety of programming models, including HPC, MPI, hybrid MPI/HPC, C/C++, and Python, which allows developers to pick the right model for their application. The platform also provides pre-configured clusters and data-science workflows to make it easy to get started without having to configure anything. The platform is built with cloud-native technologies, meaning that apps can be deployed on any public or private cloud, on-premise, or in hybrid environments. It also provides support for ARM-based systems, making it suitable for edge computing.
Anyscale Workspaces provides a virtual machine environment for testing and prototyping applications before moving them to production. This environment includes an integrated terminal and access to a wide variety of tools and languages, including Anyscale’s GUI and CLI tools, the Anyscale Python SDK, the Anyscale ML tools, and more. Anyscale Workspaces also supports Docker containers, which allows developers to build and test any application using containerized languages like Python and R.
Tools for Debugging and Managing Applications
Anyscale provides a wide range of GUI and CLI tools that make managing, debugging, and monitoring distributed applications easier.
- GUI - The Anyscale GUI provides a single view of the entire application, allowing developers to see everything that’s happening at once. Using the GUI, developers can see where their application is executing, how many resources are being used, which jobs are running, and more. The GUI also provides a GPU utilization and performance dashboard, which shows how many CUDA cores are being used and how much memory is available.
- CLI - The Anyscale Command Line Interface (CLI) provides a unified set of commands for managing and configuring distributed applications. The CLI allows you to manage jobs, deploy applications, configure environments, and more.
- Anyscale Python SDK - The Anyscale Python SDK provides a unified set of Python-based APIs, including the ability to create and manage environments, deploy applications, and access the Anyscale platform.
Security and Access Control
Anyscale provides multiple ways to control and secure distributed applications, including the ability to set up virtual private networks (VPNs), user authentication, and more. Anyscale supports a wide range of operating systems, including Windows, Linux, and macOS. Developers can deploy their applications to any public or private cloud, on-premise, or hybrid environment through the platform. Anyscale supports the deployment of MPI-based and hybrid MPI/HPC applications, along with C/C++, Python, and R.
The Anyscale Platform lets developers build, deploy, and manage machine learning and distributed computing apps. Anyscale's unified platform makes developing, debugging, and deploying scalable apps easy. Anyscale's cloud-native platform allows programs to be deployed on any public or private cloud, on-premise, or in hybrid environments. The platform includes a full array of tools for developing, debugging, and deploying machine learning, analytics, and data science applications. Developers can easily design, debug, and deploy apps using its easy interface, saving time and money. Anyscale Platform provides easy-to-follow tutorials and templates for quick setup.