Tool overview
Overview
together.ai is an AI Acceleration Cloud built for teams that need to train, fine-tune, and run inference on modern AI models at scale. Designed for builders, researchers, and enterprises, together.ai combines high-performance infrastructure with an easy-to-use platform and open-source model ecosystem. Spin up GPUs in minutes, bring your own models, or choose from a curated catalog of leading open and custom models. With optimized compute, intelligent scheduling, and built-in observability, you can move from experimentation to production without re-architecting your stack. The platform supports end-to-end workflows: data preparation, distributed training, efficient fine-tuning, and low-latency inference with autoscaling. APIs and SDKs make it simple to integrate AI into applications, while robust security and access controls help teams collaborate safely. Transparent pricing and a generous free tier let you prototype quickly and only pay for what you use. Whether you are building LLM-powered products, deploying multimodal applications, or running large-scale research experiments, together.ai provides the performance, reliability, and flexibility you need to ship faster and operate at lower cost.
Screenshots
Features
- High-performance AI compute
- End-to-end training pipeline
- Efficient fine-tuning workflows
- Low-latency scalable inference
- Enterprise-grade security controls
- Open-source model ecosystem
- Developer-friendly APIs and SDKs
- Transparent usage-based pricing
Tags
Use Cases
Build and host LLM-powered applications with scalable, low-latency inference APIs for chatbots, copilots, and agents.
Run distributed training and fine-tuning jobs on large language or multimodal models without managing complex infrastructure.
Prototype and A/B test multiple open-source models to select the best-performing option for production workloads.
Integrate AI capabilities into existing SaaS products using standardized APIs and predictable infrastructure costs.
Support research experiments that require large-scale compute, reproducible pipelines, and detailed observability.
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