Together AI

Together AI

Together AI is an AI-native cloud platform that provides developers and enterprises with full-stack infrastructure to build and run generative AI applications. The platform offers end-to-end tooling for obtaining models, customizing, training, and high-performance deployment, aiming to accelerate AI app development and optimize cost efficiency.
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AI-native cloud platformopen-source LLM inferenceAI model fine-tuning servicehigh-performance GPU clustersgenerative AI infrastructurelow-latency AI inferenceAI application development platformTogether AI model library

Features of Together AI

Serverless inference service supporting over 100 open-source large language models, including the Llama and Qwen series.
Allows users to fine-tune open-source models with their own data to create task-specific custom models.
Provides high-performance NVIDIA GPU clusters, including H100, H200, and Blackwell architectures, supporting model training and large-scale deployments.
Helps lower operational costs of model inference through optimized inference engines and advanced hardware.
The platform infrastructure is deeply optimized for low-latency, real-time inference, supporting sub-second response times.
Enterprise-grade services, including dedicated GPU clusters, bespoke solution consulting, and end-to-end support from prototyping to production deployment.
Supports retrieval-augmented generation (RAG) applications, enabling external knowledge bases to be integrated into AI workflows.
Offers a unified OpenAI-compatible API, making it easier to migrate and integrate existing AI applications.

Use Cases of Together AI

Developers building AI-native applications can quickly deploy and invoke open-source LLMs using its inference services.
When a business needs to optimize models on its specific data, use its fine-tuning service to create customized AI models.
AI research teams performing large-scale pretraining or requiring high-performance compute can rent its GPU clusters.
For real-time AI applications (e.g., intelligent coding assistants), rely on its low-latency infrastructure to ensure a great user experience.
When avoiding vendor lock-in is a priority, enterprises choose a platform based on open-source models and flexible infrastructure.
If you need to build intelligent Q&A systems that integrate internal knowledge bases, leverage its supported RAG capabilities.
Individuals or small teams can quickly test multiple open-source models through its unified API when prototyping AI.

FAQ about Together AI

QWhat is Together AI?

Together AI is an AI-native cloud platform that provides developers and enterprises with full-stack infrastructure and services to build, train, and deploy generative AI applications.

QWhat services does Together AI primarily offer?

Main services include inference API for open-source models, model fine-tuning, high-performance GPU cluster rentals, and a full set of tools for developing and deploying enterprise-grade AI applications.

QWhat AI models does Together AI support?

The platform supports calling over 100 leading open-source large language models, such as Meta's Llama series, Alibaba's Qwen series, and DeepSeek.

QIs there a cost to use Together AI platform?

The platform offers multiple services, some of which may incur fees. For specific pricing and billing, please refer to the official documentation or contact the sales team.

QHow does Together AI ensure data security and privacy?

The platform provides security measures including identity and access management, network isolation, and data encryption. When handling sensitive data, users should assess and comply with applicable regulations.

QWhat types of users or enterprises is Together AI suitable for?

Suitable for AI developers, research teams, startups, and mid-to-large enterprises, especially those who want to build, customize and deploy generative AI applications based on open-source models.

QHow to fine-tune a model on Together AI?

Users can use the fine-tuning service provided by the platform to upload their own datasets to train selected open-source models to obtain more task- or domain-specific customized models.

QHow is Together AI's platform performance?

The platform focuses on delivering high-performance inference for open-source models, with fast output speeds shown in certain benchmarks. Real performance may vary depending on the model, hardware configuration, and load.

QCan applications based on the OpenAI API be migrated to Together AI?

Yes, the platform provides an API compatible with OpenAI, which helps reduce the technical barriers to migrating existing applications to its open-source model ecosystem.

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