Together AI is a full-stack cloud platform built for developers and AI teams who want to run open-source models without managing infrastructure. It offers serverless inference APIs, model fine-tuning, and GPU clusters powered by NVIDIA hardware. With access to 200+ models including Llama, DeepSeek, and Mixtral, you can build AI-powered apps using OpenAI-compatible endpoints. Pricing starts with a free tier and scales with pay-per-token or hourly GPU rates.

• 200+ Open-Source Model Library: Access models from Meta Llama, DeepSeek, Mixtral, Gemma, and more through a single API. New models are typically added within days of release.
• Serverless Inference API: Run AI models without managing servers. OpenAI-compatible endpoints make it easy to swap in open-source models with minimal code changes.
• Model Fine-Tuning: Adapt foundation models to your own data using full or lightweight (LoRA) fine-tuning workflows, without handling training infrastructure yourself.
• GPU Clusters: Scale from self-serve instant clusters to thousands of NVIDIA GPUs (GB200, H200, H100) with InfiniBand networking and managed orchestration.
• Code Sandboxes: Spin up secure, isolated development environments at scale for building and testing AI agents and applications.
• High-Performance Storage: Managed object storage and parallel filesystems optimized for AI workloads, with zero egress fees.
• Enterprise Platform: Private cloud deployment option with dedicated support, custom SLAs, and security controls for production workloads.

• Access to a Vast Open-Source Model Library: Developers can run inference on more than 200 open-source models covering text, code, images, and audio through a unified API.
• Fast Inference Performance: The platform’s optimized inference stack delivers accelerated model responses. It often outperforms other hosting solutions because of research-driven optimizations.
• Flexible Usage Pricing: Pay-as-you-go pricing ensures that you only pay for what you use with serverless models and GPU clusters. No large upfront commitments are required.
• Simple API Integration: The Together AI API is compatible with standard AI endpoints. This compatibility makes it easier to integrate models into existing applications without requiring major code changes.
• Scalable Compute Options: The platform supports various needs ranging from serverless inference to dedicated GPU clusters for larger workloads.
• Custom Model Training and Fine-Tuning: Developers can fine-tune open models with their own data by using both LoRA and full fine-tuning workflows.
• Enterprise-Grade Support and Compliance: Scale and enterprise plans offer higher rate limits, discounts, priority hardware access, and custom SLAs for production needs.

• Developer-Focused, Not Plug-and-Play: The platform requires solid technical skills to select models, set up integrations, and manage deployments. Not suitable for non-technical users.
• No Built-in Application Layer: You get models and infrastructure, but you'll need to build your own UI, workflows, and integrations from scratch. This demands dedicated engineering resources.

• Building AI-Powered Products: You're a startup building a chatbot, coding assistant, or search tool. Together AI gives you fast inference APIs and 200+ models to prototype quickly and scale to production without managing GPU infrastructure.
• Enterprise Document Processing: Your team needs to classify, summarize, or extract data from thousands of documents. Fine-tune an open-source model on your proprietary data, then run it through Together's serverless API at a fraction of the cost of proprietary alternatives.
• Migrating from OpenAI: You're currently using GPT-4 but want to reduce costs or avoid vendor lock-in. Together AI's OpenAI-compatible endpoints let you swap in open-source models like DeepSeek-V3 or Llama 4 with minimal code changes.
• AI Research and Experimentation: You're a researcher testing different model architectures or training approaches. Together's GPU clusters and fine-tuning tools let you run experiments without provisioning your own hardware.
• Generative Media Applications: You're building an app that generates images, audio, or video. Together AI provides GPU infrastructure optimized for media generation workloads with performance acceleration.
• AI Agent Development: You're creating autonomous AI agents that need secure code execution. Together's code sandboxes provide isolated environments for agents to write and run code safely at scale.