Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Together AI
Together AI

Together AI

Founded by Vipul Ved Prakash & Ce Zhang & Percy Liang & Chris Ré in 2022

Run, fine-tune, and deploy open-source models using cloud GPU clusters and serverless APIs

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Together AI to build and scale applications with open-source machine learning models without managing your own hardware. It provides serverless inference APIs to query popular text, vision, and code models on demand, as well as dedicated GPU clusters for large workloads. You can also fine-tune open models with custom datasets, run asynchronous batch processing jobs, and deploy generative media containers. In addition, it offers secure sandbox code environments and managed cloud storage to support complex autonomous agent workflows.

What Together AI does

Deploy serverless API endpoints for open-source foundation modelsFine-tune pre-trained models using custom task dataSpin up dedicated GPU clusters on demandExecute untrusted code securely inside isolated sandboxesProcess millions of queries asynchronously using batch inferenceReserve dedicated model throughput with uptime guaranteesServerless inference for open-source models across text, image, and codeDedicated GPU clusters with on-demand hardware accessBatch inference API supporting asynchronous token processingManaged model fine-tuning without manual cluster infrastructure managementIsolated code execution sandboxes for AI agent developmentProvisioned throughput with reserved capacity and uptime guarantees

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

PyTorchPyTorchHugging FaceHugging Face

Used by

Elena

Elena

AI Research Scientist @ CVVS

In their stack
Geneva Tuala

Geneva Tuala

In their stack
Ghita El Haitmy

Ghita El Haitmy

Software Engineer @ Eli

In their stack
Connect
Ghita EL Haitmy

Ghita EL Haitmy

CTO / VP of Engineering @ ELI

In their stack
Connect
Manuel Parra

Manuel Parra

Software Engineer @ Stack

In their stack

Want a tailored answer?

See whether Together AI fits your stack.

Techbible weighs Together AI against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Together AI

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in AI Hosting & Inference

All tools →
Modal

Modal

Run serverless AI model training, inference, and batch jobs on cloud GPUs

Ollama

Ollama

Run open large language models locally on your machine or in the cloud

.wave

.wave

Run continuous inference for real-time voice and streaming speech models

Baseten

Baseten

Deploy and serve custom machine learning models with dedicated cloud infrastructure

Cerebras

Cerebras

Run high-speed artificial intelligence model inference and training on wafer-scale chips

Cerebrium

Cerebrium

Deploy and scale machine learning models on serverless GPUs with pay-per-second pricing

Clockwork Systems, Inc.

Clockwork Systems, Inc.

Keep distributed machine learning workloads running through GPU and network hardware failures

CloudRift

CloudRift

Manage and virtualize private GPU clusters for enterprise model training and inference

Together AI, open source models, serverless inference, GPU clusters, model fine-tuning, LLM hosting, dedicated model inference, AI cloud, DeepSeek, Qwen, batch inference, code sandbox, machine learning, generative media