Anyscale
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.
At a glance
- Type
- Ray-based AI platform
- Tier
- T1
- Section
- Inference platforms & gateways
- Created
- 2019
- Latest release
- searched not found
- License
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- GitHub
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- Pricing
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- Funding
- $259M total raised through Series C 2021-12 ($99M, Addition led; $1B valuation).
Taxonomy
- storage
- n/a
- retrieval
- n/a
- persistence
- n/a
- update
- n/a
- unit
- n/a
- governance
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- conflict
- n/a
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
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Cons
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Claims & capabilities
$99M Series C 2021 at $1B; founded by Ray creators at UC Berkeley.
Technical surface
- API surface
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- Backend storage
- not applicable — not a memory product
- Deployment
- searched not found
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
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- MCP
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- A2A
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- OpenTelemetry
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Compare Anyscale with…
Similar systems
Other inference platforms & gateways in the catalog, ranked by inbound references.
- LiteLLM T1
BerriAI's open-source LLM gateway — unified OpenAI-format API for 100+ providers; LiteLLM Proxy adds budgets, fallbacks, observability, rate-limiting.
- vLLM T1
Open-source LLM inference engine with PagedAttention — high-throughput batching, paged KV-cache. UC Berkeley origin; de-facto OSS inference stack.
- Baseten T1
Inference platform for ML models — Truss package format, Chains for multi-model workflows, autoscaling GPU/CPU serving. Targeted at production teams shipping LLM/diffusion endpoints.
- Fireworks AI T1
Fast inference platform for OSS LLMs — custom Cuda kernels, speculative decoding, multi-LoRA serving. Targets latency-sensitive production use cases.
- Modal T1
Serverless cloud for AI/ML — Python-decorator workflow defines GPU/CPU functions deployed to managed infra; widely used for training jobs, batch inference, and agent backends.
- OctoAI (now NVIDIA) T2
Inference cloud spun out of OctoML — acquired by NVIDIA in 2024. Originally TVM-compiler heritage; offered API for OSS LLM/diffusion serving.