Together AI

Core features and highlights

Together AI provides training, fine-tuning, hosting, and inference services for open-source large models, compatible with mainstream frameworks such as transformers. Main features include:

• Model registry and versioning
• Efficient distributed training and low-cost inference
• One-click deployment and scalable API/CLI
• Team collaboration, auditing, and security compliance

Use cases and target users

Suitable for ML engineers, researchers, startups, and enterprises looking to rapidly put open-source models into production. Typical scenarios include chat systems, industry-customized models, model evaluation and production deployment, and projects that require customized fine-tuning of models.

Key advantages and highlights

• Open-source friendly: Supports common frameworks and ecosystems, making it easy to integrate existing models and data.
• Scalable and cost-optimized: Engineering built for distributed training and efficient inference to reduce latency and compute costs.
• End-to-end from experiment to production: Provides management, monitoring, deployment, and team collaboration tools to accelerate model rollout and iteration.