Anyscale
Managed Ray platform for scaling AI workloads
Shyft Score
Directory quality rating
98/100
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Our take
The verdict on Anyscale
AI-generated
Anyscale provides a managed Ray platform for scaling AI workloads, simplifying distributed training and fine-tuning for engineering teams.
Strengths
- Managed infrastructure for distributed AI training
- Supports LLM fine-tuning
- Seamless scaling capabilities
- Real-time monitoring
- Free tier available
Limitations
- Pricing unclear (contact sales)
- Steep learning curve
- Small ecosystem
Best for: Engineering teams scaling AI applications built on Ray
Try Anyscale's free tier to see if it fits your workflow.
See how Anyscale fits your stackAbout
What is Anyscale?
Platform for scaling AI applications built on Ray. Provides managed infrastructure for distributed training, fine-tuning, and serving LLMs.
Key capabilities
Managed infrastructure for distributed AI training
Support for fine-tuning large language models (LLMs)
Seamless scaling of AI applications
Real-time monitoring and analytics
Integration with popular machine learning frameworks
At a glance
Use cases
What you can do with Anyscale
Scale AI workloads efficiently using the managed Ray platform.
Deploy and manage AI applications with automated scaling and resource allocation.
Optimize AI performance with distributed computing and parallel processing.
Best for
Data scientistsAI researchersEnterprise AI teams
Pricing
Anyscale pricing
Anyscale starts at $0/mo
Starting at $0/mo
Ecosystem
Connected ecosystem
MCP servers, AI skills, and integrations that work with Anyscale
Integrations
AWSGoogle Cloud PlatformAzureKubernetesTensorFlowPyTorchMLflowJupyter NotebooksSlack
FAQs
Frequently asked questions
Common questions about Anyscale and its capabilities
Anyscale pricing starts at $0/mo. Contact Anyscale for enterprise pricing and volume discounts.
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