Together AI

https://www.together.ai/

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

At a glance

Type
Inference + fine-tuning cloud
Tier
T1
Created
2022
Latest release
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License
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Pricing
Pay-per-token / dedicated GPU
Funding
$228.5M total raised through Series A 2024-03 ($106M, Salesforce Ventures led; $1.25B valuation); Series B 2024-11 reportedly $200M+ at $3.3B.

Taxonomy

storage
n/a
retrieval
n/a
persistence
n/a
update
n/a
unit
n/a
governance
n/a
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

$305M Series B (Feb 2025) at ~$3.3B; Salesforce, Snowflake among early customers.

Technical surface

API surface
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Backend storage
not applicable — not a memory product
Deployment
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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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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.

  • Anyscale T1

    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.

  • 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.

Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.