Frequently Asked Questions About Together AI

What are the main features of the Together AI Platform?

The Together AI Platform is engineered to accelerate training, fine-tuning, and inference on performance-optimized GPU clusters. It ensures reliability at production scale, allowing customers to process trillions of tokens in just hours without any degradation in performance or experience.

How do I register for the AI Native Cloud?

To register for the AI Native Cloud, simply visit our website and click on the 'Register Now' button. The process is straightforward and will guide you through setting up your account to start utilizing our services immediately.

What types of models can I fine-tune using the Fine-Tuning Platform?

The Fine-Tuning Platform supports a variety of models, including larger models with extended contexts. This feature is vital for users looking to customize their AI solutions for specific applications or datasets, ensuring optimal performance and accuracy in outcomes.

Can I use the Batch Inference API for large-scale data processing?

Absolutely! The Batch Inference API is specifically designed for processing billions of tokens at a significantly reduced cost—up to 50% lower for most models. This makes it an ideal choice for businesses looking to scale their inference capabilities without compromising budget or performance.

What are the benefits of using NVIDIA GPUs in the Together Instant Clusters?

NVIDIA GPUs in the Together Instant Clusters provide unmatched power and efficiency, making them ideal for AI tasks. These self-service clusters are now generally available and allow developers to leverage GPU capabilities without the cumbersome setup process, enabling them to focus on development rather than infrastructure management.

How does Together optimize performance across training and inference?

Together continuously optimizes both training and inference processes through an industry-leading approach to unit economics. By leveraging cutting-edge research and technology, we ensure our platform delivers better performance and value, allowing users to achieve their AI objectives more effectively and efficiently. This optimization translates to better resource allocation, reduced costs, and improved outcomes for all users of the platform.