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Anyscale

Platform for scaling AI and data workloads on Ray, built by Ray's creators

As of 29 August 2026, Anyscale has a free plan and paid plans start at $0.0135/month. Managed platform for distributed AI training, batch inference, and multimodal data processing, built on the open-source Ray engine. Softwr lists it under Cloud. Anyscale is available on Web, API.

Overview

What Anyscale does

Anyscale is a compute platform for running data-intensive AI workloads, built on Ray, the open-source distributed computing engine created by the same team. It supports multimodal data curation, distributed model training, batch embedding generation, and LLM post-training across multiple clouds including AWS, GCP, Azure, Nebius, and CoreWeave. Anyscale offers fine-grained hardware allocation, observability, and enterprise governance features such as SSO, SAML, SCIM, and audit logs for teams running large-scale AI infrastructure.

What people use it for

  • Training large models on distributed GPU clusters
  • Running batch inference and embedding jobs
  • Preparing multimodal datasets at scale
  • Post-training LLMs with reinforcement learning frameworks

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Anyscale.

  • Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
  • Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
  • No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.

Cross-shopped

What people choose instead of Anyscale

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Anyscale logo
    Anyscale
    vs
    Fireworks AI logo
    Fireworks AI

    Fireworks AI: Both provide infrastructure for training and deploying large AI models at scale.

  • Anyscale logo
    Anyscale
    vs
    DeepInfra logo
    DeepInfra

    DeepInfra: Both offer usage-based compute for AI workloads, though DeepInfra focuses on hosted model inference.

Pricing

What Anyscale costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Pay-as-you-go

On request

  • CPU only from $0.0135/hr
  • NVIDIA T4 $0.5682/hr
  • NVIDIA L4 $0.9542/hr
  • NVIDIA A10G $1.3635/hr
  • NVIDIA A100 $4.9591/hr
  • $100 starter credit

Committed contract

On request

  • Volume discounts
  • Use of existing GPU reservations

Capabilities

Features

  • Distributed model training

    Orchestrates GPU cluster training with elastic scaling and data preprocessing

  • Multimodal data curation

    Processes large datasets across video, image, text, and audio

  • Batch embedding generation

    Runs embedding generation at scale for search and retrieval

  • Multi-cloud orchestration

    Executes workloads across AWS, GCP, Azure, Nebius, and CoreWeave

  • Governance and security

    SSO, SAML, SCIM, and audit logs for multi-team access control

  • Observability

    Monitoring and optimization tools for distributed workloads

  • Bring-your-own-cloud deployment

    Runs the Anyscale control plane inside a customer's own cloud account with 24x7 enterprise SLAs.

  • Elastic GPU allocation

    Provisions and releases GPU instances on demand across supported instance types.

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

How much does Anyscale cost?

Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.

Source
Is there a free trial or credit?

New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.

Source
How is usage billed?

Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.

Source
What support is included?

Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.

Source
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Softwr does not host reviews and shows no star rating for Anyscale, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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