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Together AI Features

Together AI Features. AI Acceleration Cloud for fast inference, fine-tuning, and training.

Together AI's Core Features

Serverless Inference API for open-source models

Dedicated Endpoints for custom hardware deployment

Fine-Tuning (LoRA and full fine-tuning)

Together Chat app for open-source AI

Code Sandbox for AI development environments

Code Interpreter for executing LLM-generated code

GPU Clusters (Instant and Reserved) with NVIDIA GPUs (GB200, B200, H200, H100, A100)

Extensive Model Library (200+ generative AI models)

OpenAI-compatible APIs

Accelerated Software Stack (e.g., FlashAttention-3, custom CUDA kernels)

High-Speed Interconnects (InfiniBand, NVLink)

Robust Management Tools (Slurm, Kubernetes)

Together AI's Use Cases

Accelerating AI model training and inference for enterprises (e.g., Salesforce, Zoom, InVideo)

Building AI customer support bots that scale to high message volumes (e.g., Zomato)

Developing production-grade AI applications by unlocking data for developers and businesses

Creating next-generation text-to-video models (e.g., Pika)

Building cybersecurity models (e.g., Nexusflow)

Achieving simpler operations, improved latency, and greater cost-efficiency for AI models (e.g., Arcee AI)

Developing custom generative AI models from scratch

Performing multi-document analysis, codebase reasoning, and personalized tasks

Managing complex tool-based interactions and API function calls

Generating and debugging code with advanced LLMs

Executing visual tasks with advanced visual reasoning and video understanding

Data tasks such as classification and structured data extraction

FAQ from Together AI

What types of AI models does Together AI support?

What GPU hardware is available on Together AI?

How does Together AI optimize performance and cost?

Can I fine-tune my own models on Together AI?

Is Together AI suitable for enterprise use?

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