Anyscale

https://www.anyscale.com/

Commercial platform built on Ray — distributed training, fine-tuning, serving. Anyscale Endpoints provides hosted OSS inference; ray cluster is the substrate underneath OpenAI's training stack.

Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 22 cited facts, 2 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
2019 vendor fix
Freshness
2026-10-27 fix
Layer
model-infra repo fix
Licensing
commercial repo fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
SDK languages
python vendor fix
Protocols
openai-compatible vendor fix
Compliance
iso27001, soc2-type2 vendor fix

When to use

Optimised for: searched not found

Anti-fit: searched not found

Pros & cons

Pros

searched not found

Cons

searched not found

Claims & capabilities

$99M Series C 2021 at $1B; founded by Ray creators at UC Berkeley.

Technical surface

API surface
searched not found
Backend storage
not applicable — not a memory product
Deployment
Both (self-hosted + managed cloud) — Anyscale-hosted, or BYOC in your own cloud/VPC/on-prem (VMs or Kubernetes)
Embedding model
not applicable — not a memory product
Multi-tenancy
searched not found
MCP
searched not found
A2A
searched not found
OpenTelemetry
searched not found

Similar systems

Other inference platforms & gateways in the catalog, ranked by inbound references.

  • LiteLLM T1

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  • OpenRouter T1

    Unified API + marketplace for 300+ models — pay-as-you-go credits, automatic fallback, model arena. Used as default LLM router by many JS/TS agents.

  • Together AI T1

    Cloud platform for OSS LLM inference and fine-tuning — serverless inference, dedicated endpoints, fine-tuning API, training cluster.

  • Fireworks AI T1

    Fast inference platform for OSS LLMs — custom Cuda kernels, speculative decoding, multi-LoRA serving. Targets latency-sensitive production use cases.

  • vLLM T1

    Open-source LLM inference engine with PagedAttention — high-throughput batching, paged KV-cache. UC Berkeley origin; de-facto OSS inference stack.

  • Portkey AI T2

    AI gateway + observability — load balancing across 200+ LLMs, retries, caching, eval, prompts. Open-source Gateway + commercial Portkey Cloud. Acquired by Palo Alto Networks (closed about 2026-06); now sold as Prisma AIRS AI Gateway (GA 2026-07-16).

Sources (21 cited facts, 2 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-27
    • License first recorded as “proprietary; Ray Apache-2.0” source
    • Latest release first recorded as “v0.26.112 (2026-10-20) — anyscale” source
    • Pricing first recorded as “Pay-as-you-go compute billed in Anyscale credits per hour (e.g. A100 ~4.96 AC/hr); $100 free credit for new users; committed contracts with volume discounts via sales” source
    • Deployment first recorded as “Both (self-hosted + managed cloud) — Anyscale-hosted, or BYOC in your own cloud/VPC/on-prem (VMs or Kubernetes)” source
    #271

Related systems

Referenced by (5)

  • LiteLLM integrates with — LiteLLM docs have an Anyscale provider page. (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — LlamaIndex has an official LLM integration package llama-index-llms-anyscale in its repo. (verified 2026-10-29)
  • Portkey AI integrates with — Portkey docs have an Anyscale LLM provider integration page. (verified 2026-10-29)
  • Vapi integrates with — Vapi docs list Anyscale as a provider/integration. (verified 2026-10-29)
  • Weaviate integrates with — Weaviate's integrations / model-provider docs list Anyscale as an integration. (verified 2026-10-29)