San Francisco, California, United States
Together AI
An "AI-native cloud" built specifically for open-source models: serverless, pay-per-token inference on 200+ models, plus dedicated GPU clusters for teams that want to train or fine-tune their own.
Where it sits in the stack
- User - Together AI does not work at this layer
- Application - Together AI does not work at this layer
- ModelThe AI itself - Together AI works at this layer
- InferenceRunning the model, live - Together AI works at this layer
- ComputeThe processing power - Together AI works at this layer
- GPUThe physical chips - Together AI works at this layer
- Data Centre - Together AI does not work at this layer
- Power & Network - Together AI does not work at this layer
No UAE site documented
No UAE presence is documented for this provider.
What it offers
Serverless Inference
Pay-per-token API access to more than 200 open-source models, with no infrastructure to manage.
Dedicated GPU Clusters
Reserved NVIDIA H100, H200 and GB200 clusters for training and fine-tuning.
What it can do
- Serverless inference across text, image, video, code and voice models
- Dedicated GPU clusters on current-generation NVIDIA hardware
- Fine-tuning pipelines for open-weight models
What its 4 layers mean
- Model
The trained system that actually produces the answer - GPT, Gemini, Claude, Llama and others like them - plus the platforms that make models like these available for developers to build on.
- Inference
The moment a trained model is actually used to produce an answer, in about the time it takes to read this sentence. Training a model happens once; inference happens every single time someone uses it.
- Compute
The raw computing capacity - rented by the hour, the month or the year - that trains and runs AI models. This is what "the cloud" mostly means in practice.
- GPU
The specialised chips - mostly made by NVIDIA - that do the actual arithmetic behind AI, built to run millions of small calculations in parallel far faster than a general-purpose computer chip can.
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