# Anyscale
> Anyscale is an AI infrastructure company founded by the creators of Ray, an open-source unified framework for scaling AI applications. The platform provides a managed environment for developers and enterprises to build, run, and scale machine learning workloads—ranging from data processing to model training and inference—without managing underlying complex infrastructure.
- URL: https://optimly.ai/brand/anyscale
- Logo: https://logo.clearbit.com/https://www.anyscale.com
- Slug: anyscale
- BAI Score: 76/100
- Archetype: Challenger
- Category: Cloud Infrastructure
- Last Analyzed: April 9, 2026
- Part of: Independent (https://optimly.ai/brand/independent)
## Competitors
- Amazon Sagemaker (https://optimly.ai/brand/amazon-sagemaker)
- Coiled Dask (https://optimly.ai/brand/coiled-dask)
- Databricks (https://optimly.ai/brand/databricks)
- Modal (https://optimly.ai/brand/modal)
## Also Referenced By
- Fireworks AI (https://optimly.ai/brand/fireworks-ai)
- Lamini Together Ai (https://optimly.ai/brand/lamini-together-ai)
## Buyer Intent Signals
Problems: Manual Open Source Ray Management: Setting up and managing Ray clusters on bare metal or cloud VMs (AWS/GCP/Azure) using internal DevOps/SRE teams. | Non-Distributed Python Processing: Relying on legacy batch processing or non-distributed Python scripts, which limits the scale of model training and inference.
Solutions: managed Ray platform for enterprise | scaling python applications across clusters | distributed ml training infrastructure | serverless LLM serving platforms | Generic Kubernetes Managed Services (EKS/GKS): Using managed Kubernetes services to orchestrate containers, though this lacks Ray-specific optimizations for AI state management.
Comparisons: best alternative to Amazon SageMaker