Agents
Deploy Models from HuggingFace with Ease
Together AI Bloghigh confidence
Why it matters
- →Together AI's DCI infrastructure simplifies model deployment, reducing setup time and expertise needed.
- →Developers can quickly experiment with new models, enhancing agility and innovation.
- →The approach democratizes access to advanced AI models, broadening the scope of who can effectively use them.
Together AI has introduced a streamlined way for developers to deploy models from Hugging Face using their Dedicated Container Inference (DCI) infrastructure. By leveraging Goose, a CLI agent runner, developers can quickly set up and run models like Netflix's void-model without the usual technical hurdles. This process significantly reduces the time and expertise required to deploy new models, allowing for immediate experimentation and use. The DCI infrastructure provides a private, GPU-backed environment, making it an attractive option for teams looking to quickly integrate new AI models into their workflows.
Read original
