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A company offering cloud inference, fine-tuning, and access to open-source models for building generative AI applications.
DESCRIPTION
Together AI provides hosted inference and fine-tuning for a range of open-source LLMs and diffusion models. It focuses on performance, cost efficiency, and openness by optimizing serving stacks like vLLM. The platform exposes APIs and developer tooling to integrate models into products. Customers leverage it to ship chatbots, RAG systems, and content generation features without running their own clusters. It complements self-hosting by providing managed reliability and scaling.
ALTERNATIVE DEFINITIONS
Together AI
Together is a cloud platform for running, fine-tuning, and serving open-source models.
Emphasizes open-source model support and end-to-end capabilities.
Together AI Docs
Together provides APIs and tools for high-performance inference and fine-tuning of open models.
Highlights APIs and performance for inference and fine-tuning.
RELATED TERMS
Open Model Inference API Fine-Tuning vLLM LLM Serving GPU Cloud Model Hub Retrieval-Augmented Generation RLHF Cost-Optimized Inference
COMPETING TERMS
KNOWLEDGE AREAS
AI Cloud Data Services Platform & Tooling MLOps
TARGET AUDIENCE
AI Engineer Data Scientist MLOps Engineer AI Product Manager Chief AI Officer
EXTERNAL SOURCES
- Together AI - API and platform documentation
- vLLM - Open-source inference engine background
TOP QUESTIONS
Why choose Together AI over self-hosting?
It reduces operational complexity and time-to-market while delivering optimized inference. The statement: managed services trade control for speed and reliability.
Category: Benefits
What models does Together AI support?
A broad set of open LLMs and diffusion models, often with multiple sizes and quantizations. Check the catalog for up-to-date options.
Category: Features
How does Together AI compare to OpenAI?
Together focuses on open-source models and cost-efficient inference, while OpenAI serves proprietary models. Choice depends on control, performance, and licensing needs.
Category: Comparison
Does Together AI offer fine-tuning?
Yes, it supports fine-tuning workflows via APIs and managed jobs, enabling domain adaptation and instruction alignment.
Category: Features
What are risks of using Together AI?
Potential vendor dependency and API limits. The clear risk: model changes or deprecations may affect downstream apps.
Category: Risks
How do I integrate Together AI into my app?
Use the REST or SDK clients to call inference endpoints; manage API keys securely and implement retries and timeouts.
Category: HowTo
Is Together AI suitable for regulated workloads?
It depends on data handling and compliance posture. Evaluate privacy, region hosting, and logging practices before adoption.
Category: Compliance
What performance optimizations does Together AI use?
Techniques like continuous batching, paged attention, and quantization improve throughput and latency.
Category: Performance
How do costs scale on Together AI?
Typically by tokens or compute time. The statement: monitor usage metrics and set budgets to avoid surprises.
Category: Cost