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Anyscale | Scalable Compute for AI and Python

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Scalable compute for data-intensive AI workloads

Site:https://www.anyscale.com/
Adicionado em:13 de jul. de 2026
Visitantes mensais:
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Redes sociais e e-mail:
AI infrastructureRaydistributed computingmodel trainingGPU clustersmultimodal data
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Anyscale | Scalable Compute for AI and Python
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Informações da ferramenta

O que é Anyscale | Scalable Compute for AI and Python?

Anyscale is a Ray-powered platform for building, running, and optimizing large-scale AI workloads across clouds and GPU clusters. It supports AI training, data processing, embedding generation, post-training, and inference.

Recursos principais

  • Multimodal data curation

    Curates and prepares videos, images, text, and audio at large scale.

  • Distributed model training

    Orchestrates model training across GPU clusters with elastic scaling, data preprocessing, and GPU observability.

  • Batch embedding generation

    Processes and generates embeddings at scale for search, retrieval, and training use cases.

  • LLM post-training

    Runs LLM inference and training with post-training frameworks such as SkyRL and veRL, built on Ray.

  • Multi-cloud orchestration

    Provides multi-cloud orchestration for AI workloads.

  • AI workload observability

    Provides observability for AI workloads, including GPU observability for distributed training.

Casos de uso

  • #1

    Foundation model development

    Build and scale foundation models with data-intensive training and inference workloads.

  • #2

    Multimodal data pipelines

    Prepare videos, images, text, and audio for AI workloads through large-scale data curation pipelines.

  • #3

    Search and retrieval preparation

    Generate embeddings for downstream search and retrieval applications.

  • #4

    LLM post-training

    Run post-training workflows and inference for large language models.

Melhor para:Foundation model buildersAI buildersDevelopers

Planos de preços

The official homepage offers a free start and mentions a $100 credit, but it does not provide enough information to classify the overall pricing model.

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Perguntas frequentes

What is Anyscale?
Anyscale is a Ray-powered platform for building, running, and optimizing large-scale AI workloads across clouds and GPU clusters.
What workloads does Anyscale support?
Anyscale supports AI training, data processing, multimodal data curation, embedding generation, LLM post-training, and inference workloads.
Can Anyscale orchestrate workloads across multiple clouds?
Yes. The official homepage describes Anyscale as providing multi-cloud orchestration for AI workloads.
Does Anyscale support GPU-based model training?
Yes. Anyscale supports distributed model training across GPU clusters with elastic scaling, data preprocessing, and GPU observability.
What frameworks and technologies does Anyscale integrate with?
The available information lists Ray, Ray Data, PyTorch, Sentence Transformers, vLLM, SkyRL, and veRL.
How much does Anyscale cost?
The overall pricing model is not clearly published in the available official information. The homepage mentions a free start and a $100 credit.

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Informações da ferramenta

Modelo de preçosUnknown
CategoriaFerramentas para Desenvolvedores
Tags
AI infrastructureRaydistributed computingmodel trainingGPU clustersmultimodal data
IdiomaInglês
Última atualização16 de jul. de 2026
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