AWS puts managed ML workspaces inside EKS clusters
AWS has detailed how its SageMaker AI Spaces add-on can run managed JupyterLab and Code Editor environments directly on Amazon EKS. The approach targets machine learning teams that already operate Kubernetes clusters for training, storage and...
Overview
Google Vertex AI is a managed cloud platform for building, training, evaluating, deploying and operating machine-learning and generative AI applications. It offers Google and partner models with integrated MLOps and agent tooling, but service selection, regional availability, quotas and...
Overview
Anyscale is a managed platform from the creators of Ray for developing, scaling and operating distributed AI and machine-learning workloads. It reduces cluster operations and adds observability, but compute cost and Ray architecture still require engineering discipline.
Best for
ML and...
Overview
Hugging Face is an AI development platform for discovering, sharing, evaluating and deploying models, datasets and applications. Its Hub, open-source libraries, Spaces and inference services support a wide range of workflows, but licensing, model quality, security and infrastructure...
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.