Together AI

What is Together AI?

Together AI provides a cloud-based platform designed for AI model development and deployment. It focuses on enabling users to train new models from scratch, fine-tune existing ones with custom data, and run inference at scale. The service emphasizes high throughput and low latency, aiming to make complex AI operations more accessible and cost-effective for production environments. Users can upload their datasets and select from a range of pre-configured environments or customize their own.

The platform supports various machine learning frameworks and offers tools to manage the entire lifecycle of an AI model, from initial experimentation to final deployment. This includes capabilities for distributed training and efficient inference serving. Together AI's infrastructure is built to handle large-scale computational demands, allowing developers and data scientists to work with substantial datasets and complex model architectures without managing their own hardware. The goal is to accelerate the development and deployment pipeline for AI applications.

This service is particularly suited for organizations and individuals who need to develop and deploy custom AI solutions but wish to avoid the complexities of managing underlying infrastructure. It caters to use cases requiring high-performance computing for AI tasks, such as natural language processing, computer vision, and recommendation systems. The platform aims to provide a balance between control over the AI models and the managed nature of the cloud service, simplifying operations for users focused on achieving specific AI outcomes.

Key features

• Model training
• Model fine-tuning
• Inference serving
• Scalable infrastructure
• GPU acceleration
• Data management tools
• API access

Use cases

• Fine-tuning large language models for specific industries.
• Training custom computer vision models for object detection.
• Deploying AI models for real-time inference at scale.
• Running complex NLP tasks like sentiment analysis.
• Experimenting with and deploying generative AI models.

Pros & cons

FAQ