Description
Together AI is an AI-native cloud platform designed to accelerate AI development and deployment. It offers a full-stack solution, encompassing inference, fine-tuning, and GPU clusters, all built on a foundation of cutting-edge research. The platform aims to provide a comprehensive environment for AI practitioners, from researchers to engineers, to build and deploy AI applications efficiently.
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One of the core offerings is the Together GPU Clusters, providing self-service NVIDIA GPUs. This allows users to scale their compute resources as needed, optimizing performance with the Together Kernel Collection. The platform also features a Batch Inference API, designed to process massive workloads cost-effectively. This API supports processing billions of tokens, offering significant cost savings for various AI models.
Together AI emphasizes research-driven innovation, with a focus on faster inference, model shaping, and pre-training. The platform leverages research to deliver performance improvements, such as up to 2x faster inference and 90% faster pre-training. The platform supports various AI development stages, including experimentation, model shaping, and large-scale deployment. The platform also provides tools for fine-tuning open-source models, improving accuracy, and controlling behavior without managing training infrastructure.
The target audience includes AI developers, researchers, and businesses looking to build and deploy AI applications. The platform's value proposition lies in its ability to accelerate AI development, reduce costs, and provide a comprehensive environment for AI innovation. Together AI aims to be the go-to platform for building the next generation of AI products, offering a blend of research, infrastructure, and tools to empower AI practitioners.
- CategoryMachine Learning Platforms
- Pricing ModelContact for pricing
- DeploymentCloud
- PlatformsWeb
Together AI's Core Features
Full-stack AI platform
GPU clusters for self-service
Batch Inference API for cost-effective processing
Fine-tuning platform for open-source models
Research-optimized platform for faster inference
Accelerated pre-training capabilities
Managed storage for AI-native workloads
Dedicated model inference
Serverless inference
Model shaping tools
Support for open-source models
Integration with CodeSandbox
How to use Together AI?
Explore the platform: Visit the Together AI website to learn about its features and capabilities.
Choose a service: Select the service that best fits your needs, such as inference, fine-tuning, or GPU clusters.
Configure your environment: Set up your development environment using the provided tools and resources.
Deploy your model: Deploy your AI models on the platform using the available infrastructure.
Optimize performance: Utilize the Together Kernel Collection and other optimization tools to improve performance.
Scale your resources: Scale your compute resources as needed, from self-serve clusters to thousands of GPUs.
Monitor and manage: Monitor your deployments and manage your resources through the platform's interface.
Together AI's Use Cases
- Accelerated Inference
- Cost-Effective Batch Processing
- Fine-tuning Open-Source Models
- GPU Cluster Deployment
- Generative Media Workloads
- AI Agent Development
- Research and Experimentation
