Together AI
Overview of Together AI
Pricing Structure: Per-token, subscriptions, API costs, volume discounts, enterprise, and free tier.
Together AI presents a compelling option for those seeking a fast and cost-effective LLM inference platform.
Its strength lies in supporting a wide array of open-source models, granting users flexibility and preventing vendor lock-in.
The platform's scalable infrastructure ensures consistent performance even under heavy loads.
Fine-tuning capabilities further enhance its appeal, allowing for model customization to specific tasks.
The OpenAI-compatible API simplifies integration for existing applications, making it easy to switch and test the platform.
While pricing can be complex and customer support has room for improvement, Together AI's focus on speed and open-source compatibility makes it a strong contender for developers and enterprises alike.
It empowers users to innovate and deploy AI solutions efficiently.
Pros
- Fast inference speeds achieved.
- Open-source model support offered.
- Scalable infrastructure handles demand.
- Fine-tuning capabilities enable customization.
- OpenAI-compatible API simplifies migration.
Cons
- Complex and unpredictable pricing.
- Limited documentation and support.
- Restrictive rate limits exist.
Main Features
Fast Inference
Together AI's Inference Engine 2.0 leverages flash decoding and CUDA graphs to deliver impressive speed. While real-world performance varies, the platform demonstrably accelerates LLM inference, reducing latency and improving the user experience, particularly beneficial for real-time applications.
Open-Source Model Support
Supporting over 200 open-source models, Together AI allows users to experiment with various architectures. This flexibility avoids vendor lock-in and promotes innovation by leveraging community-driven advancements, making it ideal for researchers and developers.
Scalable Infrastructure
Together AI provides scalable GPU clusters and a serverless inference platform that can handle increasing inference demands. The platform's architecture allows users to scale their AI applications without worrying about infrastructure limitations, supporting growth.
Fine-Tuning Capabilities
Users can fine-tune models on the platform, enabling customization for specific tasks and improved performance. This feature allows users to adapt models to their unique datasets and use cases, unlocking higher accuracy and relevance for niche applications.
API Compatibility
Together AI offers OpenAI-compatible APIs, facilitating migration from closed models and simplifying integration with existing applications. This compatibility reduces the barrier to entry for developers familiar with the OpenAI ecosystem, streamlining the transition to Together AI's platform.
Best Use Cases
Model Support
Pricing
Check their website for pricing details.
Check pricing on Together AI