Together AI
OtherA high-speed inference and ajustement fin platform for open source modeles IA. Access Llama, Mistral, SDXL, et plus encore at low cost.
Sommaire
Qu'est-ce que Together AI ?
Together AI is a cloud platform for running open source modeles IA at high speed. It allows you to use major open source models notamment Meta Llama 3.3, Mistral, DeepSeek, Qwen, and SDXL at high speed and low cost through proprietary inference optimisation technology. For developers, it provides an OpenAI-compatible API, making migration from existing applications straightforward. Its ajustement fin fonctionnalites are also robuste, allowing you to customize models with your own datasets and deploy them as dedicated endpoints. A free Playground environment lets you try various models, and the pay-as-you-go pricing model means you only pay for what you use. For enterprises, it also offers private cloud and on-premises deployment options, catering to organizations with strict securite requirements.

Tarifs
Fonctionnalites principales
Avantages et inconvenients
Avantages
- ●Complet support for major open source models
- ●OpenAI-compatible API for easy migration
- ●Robuste ajustement fin fonctionnalites
- ●Free Playground to get started easily
- ●Entreprise private deployment support
Inconvenients
- ●Closed models (GPT-5, Claude, etc.) not available
- ●UI tableau de bord is anglais only
- ●No Japan-region servers
- ●Dedicated GPU is couteux
Questions frequemment posees
Q. Puis-je utiliser Together AI gratuitement ?
R. You can try various models for free in the Playground. API usage is pay-as-you-go starting from $0.05 per million tokens. A $5 free credit is provided upon initial registration.
Q. En quoi differe-t-il de Groq ?
R. Groq fonctionnalites ultra-fast inference via its proprietary LPU chips, making it ideal for speed-critical use cases. Together AI has robuste ajustement fin fonctionnalites, making it strong for building and deploying custom models.
Q. Can I fine-tune with my own data?
R. Oui, you can upload your own datasets to fine-tune models like Llama and Mistral, and deploy them as dedicated endpoints. Setup takes just a few clicks.
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