Sold by: Together AI
Train, fine-tune, and run generative AI models faster, at a lower cost, and at a production scale.
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Overview
Together AI makes it easy to run, fine-tune, and manage open-source and custom models, at the production scale. Our platform enables you to:
Run serverless or on-demand models for more consistent traffic
Scale with monthly reserved instances and VPC for larger deployments
Fine-tune via API and deploy your fine-tuned model for inference
Deploy the Together Enterprise Platform in your VPC on EKS with 2-3x faster inference and up to 50% GPU savings
Manage, orchestrate, and optimize models in one place, achieving low latency and high accuracy for your use cases
What to expect after your purchase:
Once you complete your AWS Marketplace purchase, you will be directed to a form to share your account information. You will also be prompted to set up your account here: http://api.together.ai/ .
Once these steps are complete, our team will be in touch within 48 hours to load the purchased Together AI credits into the account you have created.
For custom pricing & units, reach out to the support team at https://www.together.ai/contact
Highlights
- Run over 200 open-source and custom models available via autoscaling Serverless and Dedicated Instances, with private deployment options for enterprise security.
- Fine-tune generative AI models with your proprietary data and maintain ownership of your custom models.
- Enterprise-grade security and reliability with SOC 2, HIPAA compliance, and custom SLAs.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
10,000 Credits | $10,000 Together AI Consumption Units package | $10,000.00 |
25,000 Credits | $25,000 Together AI Consumption Units package | $25,000.00 |
50,000 Credits | $50,000 Together AI Consumption Units package | $50,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additional_usage | Additional Credits | $1.00 |
Dimensions summary
You buy prepaid credits in fixed packages: 10,000, 25,000, or 50,000 Consumption Units. Each package is a lump-sum contract purchase, not a recurring subscription. The three packages differ only in the amount of credits included, so you pick the size that matches your expected usage. Credits are drawn down as you consume the platform's services. If you use more than your package covers, the additional usage dimension lets you add more credits. This gives you a base commitment plus an overflow option to handle demand beyond your chosen package.
Top-of-mind questions for buyers
Credits draw down as you use the platform's services. These include running open-source models through a managed inference API, reserving dedicated throughput capacity, deploying models on isolated GPUs, and fine-tuning open models. Usage across text, image, video, code, and voice all consumes credits from your prepaid package.
Consumption is metered by the underlying service you use. Serverless inference is billed per million tokens. Provisioned throughput uses PTUs, a normalized throughput unit. Dedicated inference is billed per GPU-hour. Fine-tuning is billed per million tokens processed. Each service draws credits at its own rate.
The additional usage dimension lets you add more credits when consumption passes your package amount. This works as an overflow so demand beyond your chosen 10,000, 25,000, or 50,000 package can still be served. You buy the additional credits rather than being cut off.
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Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Brian W.
Buyer beware
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Is there any upsides? Guess if they didn't use bait and switch tactics, I would have stayed.
What do you dislike about the product?
Bait and switch. Setup a model for some testing on a serverless instance. Two days later the api access does not work. Contact support to be told that the instance has been deprecated. During setup, there was no indication of the instance being marked for deprecation. Support claimed there was an announcement sent out. I questioned how was I supposed to receive that when I wasn't a customer. After 2 weeks, they still have not refunded the remaining balance on my prepaid account nor would they refund the amount for troubleshooting the deactivated api key. This was there way to force you to contact support to then be told of the deprecation. I would never recommend this service. Nebius on the other-hand, slightly more expensive but definitely provide what they promise.
What problems is the product solving and how is that benefiting you?
Caused me more problems and wasted time than solve any problems.
VIPUL K.
Super fast and flexible, but you better know your code.
Reviewed on Jan 30, 2026
Review provided by G2
What do you like best about the product?
It’s just so fast. If you’ve ever tried to run open-source models yourself, you know how much of a headache the infrastructure is. With Together, you can just grab an API key and start playing with all these models, like Llama or Mistral. It feels like it was actually designed to be fast, and the inference is just snappier than the other platforms I’ve tried.
What do you dislike about the product?
It is definitely not for the beginner. If you are not comfortable with coding or APIs, you are going to be totally lost because the documentation is a bit thin in places. If you are not careful with your testing, you can end up with a bill that is a lot higher than you expected at the end of the month.
What problems is the product solving and how is that benefiting you?
It prevents you from having to be a “server whisperer.” Before this, you would spend half your day just trying to keep a GPU cluster up and running. Together does all the heavy lifting so that you can just focus on the AI. It is good for me because I can prototype an idea in the afternoon as opposed to spending a week just setting up the environment.
Mohinder .
Together use vantage and G2
Reviewed on May 06, 2025
Review provided by G2
What do you like best about the product?
Most helpful is to use together is that we get new new offers and advantages and G2 gives Gift cards and more and both are very easy to use and implementation
What do you dislike about the product?
Downside is nothing use together both application with many features and ease of integration
What problems is the product solving and how is that benefiting you?
Because use of together i found gift cards and many offers and point return
Sharansh S.
Helpful Product
Reviewed on Mar 18, 2025
Review provided by G2
What do you like best about the product?
It's amazing to explore the product specifications and it's uses
What do you dislike about the product?
Nothing dislike as of now because it's provide me chance to rate about the product
What problems is the product solving and how is that benefiting you?
It's help me to understand Gen AI techniques
Yash K.
Together AI provides many open source models and GPUs .
Reviewed on Nov 19, 2024
Review provided by G2
What do you like best about the product?
It has all the open source models deployed on their server, so i can try directly access with the help of API key and some models are even free.
What do you dislike about the product?
They should provide more free models to access.
What problems is the product solving and how is that benefiting you?
So i use the open source models from together to fine tune the llm on my own data and it is very cost efficiently.