AI infrastructure · Tool

Together AI

Researched

Together AI is a full-stack AI platform offering serverless, batch, dedicated, and provisioned inference alongside fine-tuning, evaluations, managed storage, and GPU clusters supporting GB300, GB200, B200, H200, and H100 hardware, with transparent flexible pricing and open-source model support.

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At a glance

In one minute

Start here for the decision-making essentials: what Together AI does, who it is for, how it is accessed, and the first-party sources behind this profile.

Pricing3 options

Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tunin

Provisioned Throughput offering token-based capacity with SLAs

Serverless pay-per-token pricing

Platforms
NVIDIA Cloud Partner
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProvides open-source demo apps and practical implementation cookbooks

Best suited to

Source-backed fit
Teams needing flexible AI inference deployment options Organizations fine-tuning open-source models with proprietary data Companies requiring scalable GPU cluster access across hardware generations Developers building production voice agents and LLM applications Startups seeking cost-effective batch LLM processing
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Together AI. Each answer cites the shared ledger below, where every source is listed once.

01What does Together AI say it can do?

Full-stack AI platform covering inference, fine-tuning, and GPU clusters · Serverless inference delivered as high-performance APIs · Batch inference for batch workloads · Provisioned Throughput offering token-based capacity with SLAs

Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.
02What use cases does Together AI describe?

Voice Agents to build voice agents for production · Serverless Inference offers high-performance inference as APIs. · Batch Inference is provided for batch workloads. · Batch inference workloads

Voice Agents Build voice agents for production
03What pricing information is available for Together AI?

Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tunin · Provisioned Throughput offering token-based capacity with SLAs · Serverless pay-per-token pricing

Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tuning, and GPU clusters. Start for free, scale on demand.
04Does Together AI document API access?

Available via a unified API

available via a unified API
05What integrations does Together AI document?

Together AI and Y Combinator announced a partnership to deliver the first dedicated YC GPU · Partnership with Y Combinator to deliver the first dedicated YC GPU cluster · Y Combinator partnership with dedicated YC GPU cluster · Y Combinator partnership for a dedicated YC GPU cluster

Together AI & Y Combinator announce partnership to deliver the first dedicated YC GPU cluster
06How can Together AI be deployed or accessed?

AI Factory (custom infrastructure at frontier scale) · AI Factory providing custom infrastructure at frontier scale · GPU Clusters for reliable GPU clusters at scale · On-demand B200 GPUs available on Together GPU Clusters

AI Factory Custom infrastructure at frontier scale
Decision guide

Capabilities and operating fit

AI infrastructure

This profile connects the jobs Together AI is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Running high-performance inference via serverless APIs
  • Processing thousands of batch LLM requests at reduced cost
  • Fine-tuning open-source models with customer data
  • Measuring and evaluating model quality
  • Building production voice agents
  • Deploying dedicated AI infrastructure at frontier scale

Access signals

Pricing model
Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tunin · Provisioned Throughput offering token-based capacity with SLAs · Serverless pay-per-token pricing
API
Not publicly listed
Source links
17 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

Together AI | The AI Native Cloud

Source-supported facts

Full-stack AI platform for inference, fine-tuning, and GPU clusters · Serverless Inference delivered as high-performance APIs · Batch Inference for batch workloads

Capability

Full-stack AI platform covering inference, fine-tuning, and GPU clusters

Capability

Serverless inference delivered as high-performance APIs

Capability

Batch inference for batch workloads

Capability

Provisioned Throughput offering token-based capacity with SLAs

Capability

Dedicated Model Inference on custom hardware and Dedicated Container Inference for custom models

View 32 more verified facts
Capability

Fine-Tuning to shape open-source models with user data

Capability

Evaluations to measure model quality

Capability

Managed Storage to store model weights and data securely

Platform

GPU Clusters supporting GB300, GB200, B200, H200, and H100 hardware

Model

Supports open-source models including MiniMax M3, Gemma 4 31B, DeepSeek V4 Pro, GLM-5.2, kimi K2.7 Code, and gpt-oss-120B

Open source

Provides open-source demo apps and practical implementation cookbooks

Application type

Supports building voice agents for production

Capability

Serverless inference delivered as high-performance APIs

[7]together.ai/pricing
Capability

Batch inference for batch workloads

[7]together.ai/pricing
Capability

Provisioned throughput offering token-based capacity with SLAs

[7]together.ai/pricing
Capability

Dedicated model inference on custom hardware

[7]together.ai/pricing
Capability

Dedicated container inference for custom models

[7]together.ai/pricing
Capability

Reliable GPU clusters available at scale

[7]together.ai/pricing
Capability

AI Factory for custom infrastructure at frontier scale

[7]together.ai/pricing
Capability

Fine-tuning to shape models with customer data

[7]together.ai/pricing
Capability

Managed storage to store model weights and data securely

[7]together.ai/pricing
Capability

Evaluations to measure model quality

[7]together.ai/pricing
Pricing

Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tuning, and GPU clusters, with a free start and on-demand scaling

[7]together.ai/pricing
Capability

Together AI Batch API processes thousands of LLM requests at 50% lower cost

[3]together.ai/blog/batch-api
Company

Together AI announced its Series C

[3]together.ai/blog/batch-api
Integration

Together AI and Y Combinator announced a partnership to deliver the first dedicated YC GPU cluster

[3]together.ai/blog/batch-api
Capability

On-demand B200 GPUs are available on Together GPU Clusters

[3]together.ai/blog/batch-api
Model

Together AI now serves MiniMax-M3 for efficient inference

[3]together.ai/blog/batch-api
Capability

Serverless Inference delivers high-performance inference as APIs

[3]together.ai/blog/batch-api
Capability

Batch Inference is offered for batch workloads

[3]together.ai/blog/batch-api
Capability

Provisioned Throughput provides token-based capacity with SLAs

[3]together.ai/blog/batch-api
Capability

Dedicated Model Inference runs inference on custom hardware

[3]together.ai/blog/batch-api
Capability

Dedicated Container Inference is offered for custom models

[3]together.ai/blog/batch-api
Fine tuning

Fine-Tuning allows users to shape models with their data

[3]together.ai/blog/batch-api
Platform

Supported GPU types include GB300, GB200, B200, H200, and H100

[3]together.ai/blog/batch-api
Capability

Serverless Inference offering high-performance inference as APIs

[2]together.ai/support
Capability

Batch Inference designed for batch workloads

[2]together.ai/support
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Running high-performance inference via serverless APIs

Use case

Processing thousands of batch LLM requests at reduced cost

Use case

Fine-tuning open-source models with customer data

Use case

Measuring and evaluating model quality

Use case

Building production voice agents

Use case

Deploying dedicated AI infrastructure at frontier scale

Use case

Storing model weights and data securely

Use case

Voice Agents to build voice agents for production

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tunin · Provisioned Throughput offering token-based capacity with SLAs · Serverless pay-per-token pricingProvides open-source demo apps and practical implementation cookbooksProvides open-source demo applicationsProvides an Open-source AI offering to build better with open modelsProvides open-source demo apps and practical implementation cookbooks · Provides open-source demo applications · Provides an Open-source AI offering to build better with open models

Application types

Supports building voice agents for production

Platforms

GPU Clusters supporting GB300, GB200, B200, H200, and H100 hardwareSupported GPU types include GB300, GB200, B200, H200, and H100Supported GPU hardware including GB300, GB200, B200, H200, and H100Together AI offers GPU Clusters described as reliable GPU clusters at scale.AI Factory provides custom infrastructure at frontier scale.NVIDIA Cloud PartnerGPU hardware lineup including GB300, GB200, B200, H200, and H100GPU hardware options including GB300, GB200, B200, H200, H100AI Factory for custom infrastructure at frontier scale

App stores and other links

Implementation details

Adoption notes

DeploymentAI Factory (custom infrastructure at frontier scale) · AI Factory providing custom infrastructure at frontier scale · GPU Clusters for reliable GPU clusters at scale · On-demand B200 GPUs available on Together GPU Clusters
LicenseProvides open-source demo apps and practical implementation cookbooks · Provides open-source demo applications · Provides an Open-source AI offering to build better with open models
Model supportSupports open-source models including MiniMax M3, Gemma 4 31B, DeepSeek V4 Pro, GLM-5.2, k · Together AI now serves MiniMax-M3 for efficient inference · Model library featuring top open-source models such as MiniMax M3, Gemma 4 31B, DeepSeek V · MiniMax-M3 served for efficient inference
Data controlManaged storage to securely store model weights and data
Learning curveIntermediate
Primary use casesRunning high-performance inference via serverless APIs, Processing thousands of batch LLM requests at reduced cost, Fine-tuning open-source models with customer data, Measuring and evaluating model quality, Building production voice agents, Deploying dedicated AI infrastructure at frontier scale, Storing model weights and data securely, Voice Agents to build voice agents for production, Serverless Inference offers high-performance inference as APIs., Batch Inference is provided for batch workloads., Batch inference workloads, AI-native companies building at production scale, High-performance inference as APIs via Serverless Inference, Batch Inference for batch workloads

What to verify before adopting

    Evolution and major updates

    Together AI timeline

    A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

    Research in progress
    Scheduled for research

    Building a reliable release history.

    This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.

    Dated event Short explanation Original source
    Citation ledger

    Recorded sources

    17 unique pages

    Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

    1. 1together.ai 16 facts · 1 answer · Official site
    2. 2together.ai/support 12 facts · 3 answers · Official site
    3. 3together.ai/blog/batch-api 12 facts · 2 answers · Documentation
    4. 4together.ai/customers 12 facts · 2 answers · Official site
    5. 5together.ai/press 12 facts · 2 answers · Official site
    6. 6together.ai/blog/nvidia-cloud-partner 11 facts · 2 answers · Official site
    7. 7together.ai/pricing 11 facts · 2 answers · Pricing
    8. 8together.ai/privacy 12 facts · 1 answer · Security
    9. 9together.ai/about-us 6 facts · 2 answers · Official site
    10. 10together.ai/models 3 answers · Official site
    11. 11together.ai/blog Official site
    12. 12together.ai/blog/api-announcement Documentation
    13. 13together.ai/blog/august-2023-pricing-update Pricing
    14. 14together.ai/blog/batch-inference-api-updates-2025 Documentation
    15. 15together.ai/blog/plan-divide-conquer Official site
    16. 16together.ai/blog/together-ai-brings-nvidia-nemotron-3-nano-omni-to-developers-on-day-0 Documentation
    17. 17together.ai/blog/together-rerank-api-and-salesforce-llamarank Documentation
    Research status120 substantive facts · 17 source pages · quality score 95/100