What is
Together AI
?
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.
- 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
- Inference: Starting from $1.75/hour
- Fine-tuning: Variable pricing based on model size
- GPU Clusters: Custom pricing for large-scale deployment
- Flexible pricing models available
- 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
- 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
- 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
- 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
- OpenAI-compatible APIs
- Slurm and Kubernetes integrations
- 200+ model ecosystem
- SOC 2 and HIPAA compliant
- Content safety models built-in
- Single-tenant GPU options
- Basic setup takes 1-2 days, with 2-4 weeks for custom model training and 4-8 weeks for full enterprise deployment with specialized configurations.
- RunPod - GPU cloud computing platform
- Paperspace - AI development platform
- Replicate - ML model deployment platform
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