HTTP 200 verified twice
Together AI
ResearchedTogether 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.
See the official site at a glance
Read-only public captures of Together AI’s homepage. Screenshots are dated, never live embeds, and open full-screen.
1 earlier capture
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.
Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tunin
Provisioned Throughput offering token-based capacity with SLAs
Serverless pay-per-token pricing
Best suited to
Source-backed fitCommon questions and adoption checks
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?
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
Capabilities and operating fit
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
Topics mapped
Verified capabilities
- 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
- Dedicated Model Inference on custom hardware and Dedicated Container Inference for custom
- Fine-Tuning to shape open-source models with user data
- Evaluations to measure model quality
- Managed Storage to store model weights and data securely
Recorded integrations
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
Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Together AI | The AI Native Cloud
Full-stack AI platform for inference, fine-tuning, and GPU clusters · Serverless Inference delivered as high-performance APIs · Batch Inference for batch workloads
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
Dedicated Model Inference on custom hardware and Dedicated Container Inference for custom models
View 32 more verified facts
Fine-Tuning to shape open-source models with user data
Evaluations to measure model quality
Managed Storage to store model weights and data securely
GPU Clusters supporting GB300, GB200, B200, H200, and H100 hardware
Supports open-source models including MiniMax M3, Gemma 4 31B, DeepSeek V4 Pro, GLM-5.2, kimi K2.7 Code, and gpt-oss-120B
Provides open-source demo apps and practical implementation cookbooks
Supports building voice agents for production
Serverless inference delivered as high-performance APIs
Batch inference for batch workloads
Provisioned throughput offering token-based capacity with SLAs
Dedicated model inference on custom hardware
Dedicated container inference for custom models
Reliable GPU clusters available at scale
AI Factory for custom infrastructure at frontier scale
Fine-tuning to shape models with customer data
Managed storage to store model weights and data securely
Evaluations to measure model quality
Transparent, flexible pricing across serverless inference, dedicated endpoints, fine-tuning, and GPU clusters, with a free start and on-demand scaling
Together AI Batch API processes thousands of LLM requests at 50% lower cost
Together AI announced its Series C
Together AI and Y Combinator announced a partnership to deliver the first dedicated YC GPU cluster
On-demand B200 GPUs are available on Together GPU Clusters
Together AI now serves MiniMax-M3 for efficient inference
Serverless Inference delivers high-performance inference as APIs
Batch Inference is offered for batch workloads
Provisioned Throughput provides token-based capacity with SLAs
Dedicated Model Inference runs inference on custom hardware
Dedicated Container Inference is offered for custom models
Fine-Tuning allows users to shape models with their data
Supported GPU types include GB300, GB200, B200, H200, and H100
Serverless Inference offering high-performance inference as APIs
Batch Inference designed for batch workloads
What it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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
Storing model weights and data securely
Voice Agents to build voice agents for production
Where it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
Application types
Platforms
Adoption notes
What to verify before adopting
Together AI timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
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.
Recorded sources
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.
- 1together.ai 16 facts · 1 answer · Official site
- 2together.ai/support 12 facts · 3 answers · Official site
- 3together.ai/blog/batch-api 12 facts · 2 answers · Documentation
- 4together.ai/customers 12 facts · 2 answers · Official site
- 5together.ai/press 12 facts · 2 answers · Official site
- 6together.ai/blog/nvidia-cloud-partner 11 facts · 2 answers · Official site
- 7together.ai/pricing 11 facts · 2 answers · Pricing
- 8together.ai/privacy 12 facts · 1 answer · Security
- 9together.ai/about-us 6 facts · 2 answers · Official site
- 10together.ai/models 3 answers · Official site
- 11together.ai/blog Official site
- 12together.ai/blog/api-announcement Documentation
- 13together.ai/blog/august-2023-pricing-update Pricing
- 14together.ai/blog/batch-inference-api-updates-2025 Documentation
- 15together.ai/blog/plan-divide-conquer Official site
- 16together.ai/blog/together-ai-brings-nvidia-nemotron-3-nano-omni-to-developers-on-day-0 Documentation
- 17together.ai/blog/together-rerank-api-and-salesforce-llamarank Documentation


