Anyscale

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Anyscale is a Coding & Development tool that helps AI builders scale distributed training, multimodal data curation, embedding generation, and post-training workloads. It is powered by Ray, the world's most widely adopted AI compute engine, and runs on any cloud.

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At a glance

Pricing

Usage-based · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Anyscale?

Anyscale empowers AI builders to develop and deploy production-scale AI applications by leveraging Ray, the leading open-source AI compute engine. The platform facilitates data-intensive workloads, including multimodal data curation, distributed model training across GPU clusters, and efficient batch embedding generation for various downstream applications. Anyscale also supports post-training frameworks like SkyRL and veRL for LLM inference and training. It offers fine-grained machine control, multi-cloud orchestration, and advanced observability, allowing users to optimize distributed training and inference pipelines. With flexible deployment options, including hosted or bring-your-own-cloud, Anyscale helps maximize GPU utilization and accelerate AI development.

Best used for

Ideal for developers and data scientists who need to scale distributed AI model training, curate multimodal datasets, and generate embeddings efficiently. Especially valuable for teams building and deploying Foundation Models and other data-intensive AI applications across various cloud environments.

Common actions

scale AI workloads

train AI models

generate embeddings

deploy foundation models

manage GPU resources

Capabilities

Key features

Multimodal data curation
Distributed model training
Batch embedding generation
Post-training inference
Multi-cloud orchestration
Fine-grained machine control
Advanced observability

Target Audience

developerdata scientist

Integrations

pytorchvllmsglangxgboost

Pricing & Plans

Usage-based · Enterprise

Not publicly disclosed. Check anyscale.com for current pricing.

FAQs

What is the difference between Ray and Anyscale?

Ray is an open-source unified compute framework for scaling AI and Python applications, developed by the creators of Anyscale. Anyscale is a managed platform built on Ray, providing the infrastructure and tools to build, run, and optimize data-intensive AI workloads at scale on any cloud.

What kind of AI workloads does Anyscale support?

Anyscale supports a range of data-intensive AI workloads, including multimodal data curation, distributed model training across GPU clusters, batch embedding generation for search and retrieval, and post-training inference for large language models (LLMs).

How does Anyscale's pricing work?

Anyscale offers a pay-as-you-go model where you only pay for the compute you use, with a $100 credit to get started. For larger usage, committed contracts unlock volume discounts and allow you to utilize existing GPU reservations, providing more savings as your usage grows.

Can I deploy Anyscale within my own cloud environment?

Yes, Anyscale offers a 'Bring Your Own Cloud' (BYOC) deployment option. This allows you to deploy Anyscale inside your own cloud or on-premise infrastructure, providing data residency and leveraging your existing GPU reservations for production workloads.

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