Together AI
Infrastructure for running, shaping, and training AI models.
What is Together AI?
Together AI is a cloud platform for AI teams working across inference, model shaping, and pre-training. It is aimed at teams that need to move from experimentation into production without operating every layer of infrastructure themselves.
The platform offers on-demand access to open-source models for serverless inference. This suits applications that need to call models through an API without committing to long-lived infrastructure.
For larger workloads, Together AI provides asynchronous batch processing and can serve serverless models or private deployments. That makes it relevant when throughput matters more than an immediate response for every request.
Teams with steadier production demand can use provisioned throughput with reserved capacity and token-based pricing. The platform also offers dedicated model infrastructure for organizations seeking more control over their deployments.
Together AI also supports infrastructure for generative media workloads, including video, audio, and image models. Its range of options makes it a fit for developers and AI product teams with different serving and scaling requirements.
Together AI Features
Serverless model inference
Together AI lets developers run open-source models on demand through a managed service. It is designed for teams that want API-based inference without managing their own serving infrastructure or making long-term commitments.
Asynchronous batch workloads
Together AI can process large workloads asynchronously for use cases where response timing is less important than volume. The platform supports this mode with serverless models and private deployments, broadening the available serving choices.
Provisioned throughput
Provisioned throughput provides committed inference capacity with reserved throughput and token-based pricing. It includes a stated uptime SLA and API compatibility intended for production workloads.
Dedicated AI infrastructure
Together AI offers dedicated model infrastructure for teams that want greater control over deployments. It also provides GPU infrastructure for generative media projects that use video, audio, or image models.
Pricing
Paid
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