What is Together AI?
Together AI is a full-stack AI platform designed to support every stage of AI development, from experimentation to large-scale production. It provides inference, compute, and model shaping tools, all powered by ongoing research. The platform focuses on running open-source models efficiently, with options for serverless inference, batch processing, and dedicated resources.
You start by choosing a model from the open-source stack. Then you can run it on demand with serverless inference, which requires no infrastructure management or long-term commitments. For heavier workloads, you can use provisioned throughput or dedicated model inference. You can also fine-tune models to fit your specific needs, using the platform's compute and research-backed tools.
The platform is grounded in cutting-edge research, with contributions like ThunderKittens and FlashAttention-4. It suits developers and teams who want to build AI applications without managing their own GPU infrastructure. The website highlights on-demand B200 GPUs and a range of research projects, but it does not state specific pricing details or free tiers.
Together AI features
- Serverless Inference: Run open-source models on demand with no infrastructure to manage or long-term commitments.
- Batch Inference: Process large volumes of requests efficiently for bulk AI workloads.
- Provisioned Throughput: Get dedicated capacity for consistent, high-volume model serving.
- Dedicated Model Inference: Deploy models on isolated resources for full control and performance.
- Model Shaping: Fine-tune and customize models to fit your specific use cases and data.
What you can do with Together AI
- Deploy an open-source LLM for a production app with serverless inference.
- Fine-tune a model on your own dataset to improve task-specific accuracy.
- Run batch inference jobs for large-scale data processing or synthetic data generation.
- Scale AI workloads with GPU clusters for research or heavy compute needs.
How to get started with Together AI
- Sign in to the Together AI platform and choose an open-source model from the stack.
- Select your deployment option, such as serverless inference or dedicated compute.
- Start building your application by sending requests to the model endpoint.
Tips for better results with Together AI
- Start with serverless inference on Together AI to test open-source models quickly without managing infrastructure, then scale to provisioned throughput once you confirm performance meets your needs.
- Use Together AI's batch inference for large-scale jobs like synthetic data generation, as it processes bulk requests efficiently and avoids tying up interactive sessions.
- Fine-tune a model on your own dataset with Together AI's model shaping tools to improve task-specific accuracy, but benchmark the tuned version against the base model first.
- Leverage Together AI's research-backed kernels like ThunderKittens to optimize inference speed, and monitor your workload's latency to see if these optimizations actually reduce costs.
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Together AI pricing
Together AI’s homepage does not list prices. Check together.ai for current plans.
What to check before you rely on Together AI
- Check whether Together AI's website lists pricing for serverless inference, provisioned throughput, or fine-tuning, since it currently does not state specific costs or free tiers.
- Verify which open-source models are available on Together AI's platform and confirm your chosen model supports the inference or fine-tuning features you plan to use.
- Review Together AI's data handling policies for your input and output data, as the website does not clearly state privacy or retention terms for production workloads.
Who Together AI is for
Together AI suits AI developers, ML engineers, Research teams and Startups building AI apps. If that is not you, the AI developer platforms below may fit better.
Similar tools compared with Together AI
| Tool | What it is | Pricing |
|---|---|---|
| Together AI | Full-stack AI cloud for developers | See website |
| SiVideoAPI | Unified API for top AI video models | Freemium |
| OpenSI | AI model comparison and pricing tool | See website |
| OpenRouter | Unified API for many AI models | Freemium |
| Ollama | Run open models locally or cloud | Freemium |
Together AI FAQ
What is Together AI?
Together AI is a full-stack AI platform for running, fine-tuning, and scaling open-source models. It provides inference, compute, and model shaping tools, all backed by research. You can use it to build AI applications without managing your own infrastructure.
How does pricing work?
The website does not state specific pricing details. It mentions on-demand GPU clusters and various inference options, but you need to contact sales or sign in to see plans. Check the Pricing page on their site for current information.
Who is Together AI for?
It's for developers and teams building AI applications. You can use it for experimentation, production deployment, or heavy compute tasks. Research teams and startups working with open-source models would find it useful.
What can I build with Together AI?
You can build AI-powered applications like chatbots, coding assistants, or data processing pipelines. The platform supports inference, fine-tuning, and GPU clusters, so you can deploy models at scale or customize them for specific tasks.
Does Together AI offer a free tier or trial?
The Together AI website does not mention a free tier or trial. You can contact their sales team or sign in to explore available options and any trial credits. Check the pricing page or reach out to sales for the most accurate information.
Can I use Together AI with my existing applications or frameworks?
Together AI is designed as a full-stack AI platform, but the website does not specify integrations with specific frameworks or tools. You can likely use it via API or SDK, but check the documentation or contact support for details on compatibility with your stack.
What types of models can I run on Together AI?
Together AI focuses on open-source models, allowing you to choose from their open-source stack. The website mentions running open-source models efficiently, but does not list specific model names. You can explore the platform or contact sales to see the full catalog.
