Together AI
Production infrastructure for open-source model inference and training
Together AI is a cloud platform for running, fine-tuning, and deploying open-source AI models. It is aimed at developers and teams that need model inference, GPU compute, storage, and training infrastructure in one place.
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About
Together AI is a cloud platform for working with open-source AI models in production. According to its product pages, it covers serverless inference, batch inference, dedicated inference, GPU clusters, managed storage, sandboxed development environments, and fine-tuning. The target audience appears to be developers and ML teams building AI applications and infrastructure, especially those working with open-source models.
You typically get started through Together AI’s hosted platform and APIs, with documentation linked from each product area. The platform is positioned around model serving and compute rather than an end-user chatbot, so it is more of a developer infrastructure layer than an AI assistant.
The platform is strongest as infrastructure for inference and model operations: it is built for production workloads, scales from serverless usage to dedicated deployments, and supports batch processing and GPU-backed compute. That said, it is not primarily an autonomous agent product. Based on the content provided, it does not appear to manage multi-step tasks on your behalf in the way a general-purpose agent does.
Pricing details were not fully available in the crawled content, aside from a pricing page and a prompt to contact sales for help choosing. The pages also do not clearly state the underlying model provider strategy beyond support for open-source models, nor do they mention MCP support or open-source licensing for the platform itself. If you need a consumer app, chat-first assistant, or a local/on-device tool, this is probably not the right fit.
Executes tasks you assign, one step at a time, within narrow domains.
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Pricing not publicly available in the crawled content. The pricing page indicates serverless inference, dedicated inference, GPU clusters, sandbox, managed storage, and fine-tuning, and includes a contact sales option.
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