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Together AI

Together AI is the AI Acceleration Cloud for turbocharging model training and inference on NVIDIA GPUs.

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Overview

Together AI is an end-to-end platform for the full generative AI lifecycle that enables users to leverage pre-trained models, fine-tune them, or build custom models from scratch. The platform provides 200+ generative AI models with serverless and dedicated endpoints featuring OpenAI-compatible APIs. With access to NVIDIA GB200, H200, and H100 GPUs, Together AI offers scalable infrastructure from 16 to 1000+ GPUs with high-speed interconnects. The platform supports both full and LoRA fine-tuning options while maintaining complete model ownership, making it ideal for organizations requiring sophisticated AI development capabilities.

Key features

  • 200+ generative AI models available
  • Serverless and dedicated endpoints
  • OpenAI-compatible APIs for easy integration
  • NVIDIA GPU clusters (GB200, H200, H100)
  • Scalable infrastructure (16 to 1000+ GPUs)
  • Full and LoRA fine-tuning options
  • Complete model ownership
  • High-speed interconnects for performance

Pros

  • Comprehensive AI platform for full development lifecycle
  • Open-source model flexibility with 200+ options
  • High-performance GPU infrastructure with latest hardware
  • Complete model ownership and control
  • Scalable solutions for various project sizes
  • Enterprise compliance with SOC 2 and HIPAA

Cons

  • Complexity may be overwhelming for beginners
  • Cost variability depending on usage patterns
  • Technical expertise required for optimization
  • Infrastructure complexity for large deployments

Best use cases

  • AI model training and development
  • Large-scale inference deployment
  • Custom model fine-tuning for specific needs
  • GPU-intensive computing workloads
  • AI application development and testing
  • Research and development in AI

Who is it for

  • AI researchers developing new models
  • Machine learning engineers training models
  • Enterprises building generative AI applications
  • Developers requiring GPU computing power
  • Startups scaling AI solutions
  • Academic institutions conducting AI research

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