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Model Inference API Model Hosting Fine Tuning Custom Model Training GPU Cloud Infrastructure See all 
Model Inference API Run open-source and foundation models via scalable APIs with low latency, autoscaling, and usage-based pricing. Model Hosting Securely host large language and multimodal models with managed infrastructure, versioning, and availability controls. Fine Tuning Customize base models using LoRA or full fine-tuning workflows to improve task accuracy and domain relevance. Custom Model Training Train models from scratch or continue pre-training using high-performance GPU clusters and optimized runtimes. GPU Cloud Infrastructure Access on-demand and reserved NVIDIA GPUs optimized for AI workloads with high throughput and reliability. Dedicated Endpoints Deploy isolated inference endpoints for consistent latency, higher throughput, and enterprise-grade performance. Serverless Inference Automatically scale inference workloads without infrastructure management using token-based pricing models. Model Catalog Browse and deploy hundreds of open-source text, vision, image, audio, code, and embedding models. Multimodal Support Support for text, image, audio, and vision models enabling diverse AI applications and agent workflows. Batch Inference Process large volumes of requests asynchronously to reduce cost and improve efficiency for offline workloads. Embeddings Generation Generate vector embeddings for search, retrieval, clustering, and recommendation system use cases. API Key Management Manage secure API keys, access permissions, and usage limits across teams and applications. Usage Monitoring Track token usage, costs, latency, and performance metrics through dashboards and reporting tools. Model Versioning Maintain multiple model versions with controlled rollouts, rollback support, and reproducible deployments. Scalable Architecture Horizontally scalable infrastructure designed to handle enterprise workloads and traffic spikes reliably. Security & Compliance Enterprise security features including data isolation, encrypted traffic, and controlled execution environments. | Brand Name | Together AI |
| Information | Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. |
| Founded Year | 2022 |
| Director/Founders | Ce Zhang, Chris Re, Percy Liang, Vipul Ved Prakash |
| Company Size | 101-500 Employees |
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