Anyscale provides a serverless compute platform for developers to instantly scale Python and AI applications from a laptop to the cloud, built on the open-source Ray framework without managing infrastructure.
Anyscale is a unified compute platform designed to help developers scale Python and machine learning workloads effortlessly. Primarily serving data scientists and ML engineers, it is built by the original creators of the open-source Ray framework. Its core value proposition is abstracting away the complexities of distributed systems, allowing users to move applications from a single machine to a large cluster with minimal code changes. Anyscale provides a serverless experience by automatically managing resources, which simplifies the development, training, and deployment of complex AI models. This focus on simplifying distributed computing makes it a powerful tool for organizations looking to accelerate their AI/ML initiatives without deep infrastructure expertise.
Machine Learning Engineers, Data Scientists, and Python developers who need to build and scale demanding AI/ML applications and distributed workloads.
Based on 0 reviews
2019
Berkeley, USA
Standard
Consumption-based pricing with no minimum spend or monthly fee. Billed per Anyscale Compute Unit (ACU) hour used. Includes standard support and all core platform features. Free credits available for startups and trials.
Pay-as-you-go
Enterprise
Custom annual commitment pricing for large teams requiring advanced features. Includes everything in Standard plus private networking, SSO/SAML, advanced security compliance, dedicated support, and service level agreements (SLAs).
Custom
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Select Vertex AI if your infrastructure is primarily on GCP and you want a unified platform with powerful tools for building, deploying, and managing ML models at scale using Google's infrastructure.
Consider Coiled if your team's expertise and existing code are built around Dask, as it provides a similar serverless platform for scaling Python but is focused on the Dask distributed computing library instead of Ray.
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