Does Together AI offer custom model access or fine-tuning?

Yes, Together AI provides dedicated endpoints for customized model access, ensuring secure and tailored integration. Additionally, it includes fine-tuning capabilities, allowing enterprise developers to adapt existing open-source AI models to their specific needs and datasets.

How does Together AI help monitor deployed AI models?

Together AI offers real-time monitoring and analytics for model performance. This feature provides data scientists and AI researchers with crucial insights into their deployed open-source models, helping them track performance, identify issues, and optimize operations effectively.

Together AI

Building the AI Native Cloud

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Shyft Score

Directory quality rating

Verified

98/100

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Our take

The verdict on Together AI

AI-generated

Together AI offers a flexible cloud platform for open-source model deployment, with serverless inference and custom training capabilities.

Strengths

Serverless inference for scalable deployment
Dedicated endpoints for custom models
Fine-tuning capabilities
Supports multiple open-source frameworks
Free tier available

Limitations

Higher starting price ($49/mo)
Limited documentation
Small ecosystem

Best for: Engineering teams deploying and fine-tuning open-source AI models

Try Together AI's free tier to see if it fits your workflow.

See how Together AI fits your stack

Benefits

Why teams choose Together AI

Accelerate AI model deployment with serverless infrastructure, reducing time-to-market by up to 60%

Optimize AI model performance with dedicated endpoints, improving accuracy and reducing latency

Reduce AI training costs by up to 40% with custom fine-tuning capabilities

Ensure AI model reliability with real-time monitoring and analytics, minimizing downtime

Leverage open-source AI frameworks to avoid vendor lock-in and maintain flexibility

About

What is Together AI?

The full stack platform for production AI, powered by cutting-edge systems research. Helps teams ship faster, scale reliably, and achieve superior unit economics with open and responsible development.

Key capabilities

FlashAttention-4 acceleration

ATLAS runtime-learning accelerators

Self-service NVIDIA GPU clusters

Batch Inference API

Fine-Tuning Platform

Serverless inference

At a glance

Capabilities

API

Use cases

What you can do with Together AI

Deploy cost-effective open-source LLMs as API endpoints

Fine-tune open models on proprietary data for domain-specific tasks

Run batch inference on large datasets without provisioning servers

Switch between model providers to optimize for cost and latency

Best for

Data scientistsAI researchersEnterprise developers

Pricing

Together AI pricing

Together AI starts at $0.02 per 1M tokens (input)

Starting at $0.02 per 1M tokens (input)

Ecosystem

Connected ecosystem

MCP servers, AI skills, and integrations that work with Together AI

MCP servers

Use Together AI with AI agents via these MCP servers

pluggedin app

The Crossroads for AI Data Exchanges, unifying your AI tools and workflows.

npx 94

Browse all MCP servers

Integrations

NVIDIAMongoDBHugging FaceVast.aiWEKA5CRimeMinimaxCartesiaBlack Forest LabsRunwareLiquid

AI & automation capabilities

REST API

MCP ServerN/A

WebhooksN/A

Free TierN/A

FAQs

Frequently asked questions

Common questions about Together AI and its capabilities

Together AI specializes in deploying open-source AI models. It supports various frameworks and offers serverless inference, making it ideal for data scientists and AI researchers looking to scale their open-source model deployments efficiently.