
Runpod
The end-to-end AI cloud that simplifies building and deploying models.

AI Native Cloud for training, fine-tuning, and inference of open-source and specialized models.

The Together AI Platform provides a full-stack development environment for AI-native applications. It offers performance-optimized GPU clusters for training, fine-tuning, and inference, ensuring reliability at production scale. The platform supports a wide range of open-source and specialized models through its Model Library, compatible with OpenAI APIs for easy migration. Key features include the ATLAS speculator system and Together Inference Engine for optimized inference, as well as the Together Kernel Collection (TKC) for fast and reliable pre-training. The platform allows scaling from self-serve instant clusters to custom AI factories, catering to both small-scale and high-scale workloads. Its unit economics are continuously optimized to improve performance and reduce total cost of ownership. Together AI provides tools such as a Batch Inference API, which enables processing massive datasets at half the cost of real-time APIs.
The Together AI Platform provides a full-stack development environment for AI-native applications.
Explore all tools that specialize in train ai models. This domain focus ensures Together AI Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in evaluate ai models. This domain focus ensures Together AI Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in deploy ai models. This domain focus ensures Together AI Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in inference. This domain focus ensures Together AI Platform delivers optimized results for this specific requirement.
Explore all tools that specialize in distributed model training. This domain focus ensures Together AI Platform delivers optimized results for this specific requirement.
AdapTive-LeArning Speculator System (ATLAS) uses runtime-learning accelerators to optimize LLM inference.
Specialized inference engine designed for price-performance at scale.
Optimized kernel collection for reliable and fast training from the ground up.
API for processing massive datasets with serverless models and private deployments.
Extensive library of open-source and specialized models for various applications.
Support for frontier hardware such as NVIDIA GB200 NVL72 and GB300 NVL72.
Create an account on the Together AI Platform.
Explore the Model Library and select a suitable model.
Deploy the model using the Inference API or Batch Inference API.
Fine-tune the model with your own data using the Fine-Tuning tools.
Monitor performance and adjust parameters for optimal results.
Integrate the model into your application using the provided SDKs and APIs.
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