Together AI - Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.

About Together AI

Together AI offers a full-stack AI platform designed for production AI, enabling teams to run, train, and deploy open-source models. The platform centers on an AI Native Cloud approach, combining inference, fine-tuning, and scalable GPU clusters to support experimentation through large-scale deployments. It is presented as a system for developers and teams building AI-powered applications, with emphasis on production-ready features and open-source model support.

The platform provides facilities for inference, model shaping, sandboxed development environments, and storage optimized for AI workloads. It emphasizes post-training workflows, compatibility with existing APIs, and dedicated hardware options intended to improve performance and cost economics. The docs describe an integrated stack that covers running models on demand, batch inference, and provisioned throughput for production workloads.

The tooling appears to span from experimentation to scale, including GPU clusters, serverless components, and managed storage, as well as fine-tuning and post-training workflows.

Use cases

Run, train, and serve open-source models on Together AI's platform.
Deploy real-time voice agents by combining STT, LLM, and TTS models on co-located infrastructure.

Key features

The fastest way to run open-source models on demand.
Scale to 30 billion tokens per model with any serverless model or private deployment.
Drop-in API compatibility for production workloads with no infrastructure to manage.
Use fast, secure code sandboxes at scale to set up full-scale development environments for AI apps and agents.
High-performance managed storage for AI-native workloads. Object storage and parallel filesystems optimized for AI, with zero egress fees.
Fine-tune open-source models for production workloads, using the latest research techniques.
Deploy models on dedicated infrastructure for speed, control, and economics.

Reviews

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