Who it is built for
- Foundation model teams building data-intensive workloads
- Machine learning teams scaling Ray applications
- Platform engineers managing Ray clusters across clouds
Scale data-intensive AI workloads with Ray
Anyscale is a managed platform for building and scaling data-intensive AI workloads with Ray. Foundation model teams can run multimodal data curation, distributed training, embedding generation, and post-training workloads across their own GPUs, clouds, and clusters.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Anyscale runs pipelines that curate and prepare video, image, text, and audio data at scale.
The platform orchestrates model training across GPU clusters with elastic scaling and observability.
Anyscale processes and generates embeddings at scale for search, retrieval, or training workloads.
Developers bring Ray applications and select hosted infrastructure or a bring-your-own-cloud deployment. Anyscale runs and manages distributed compute so teams can execute data processing, training, inference, and post-training workloads at scale.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.