together.ai: Empowering Open-Source AI at Scale

Together.ai is a powerful AI platform designed for developers, startups, and enterprises seeking to deploy, fine-tune, and scale open-source models with high performance and flexibility. It offers a comprehensive suite of services including serverless inference, dedicated endpoints, fine-tuning, and GPU cloud infrastructure, enabling users to build and run AI applications efficiently. The platform supports a wide range of open-source models such as Llama, DeepSeek, Qwen, Kimi K2, and Apriel, and provides tools like Together Chat, Code Execution, and Code Interpreter for seamless development. With advanced features like ATLAS for 4x faster LLM inference, Batch Inference API for cost-efficient processing, and scalable GPU clusters up to 100K+ NVIDIA GPUs, Together.ai is built for high-performance AI workloads. Its developer-friendly ecosystem includes documentation, research, example apps, and a rich Model Library, making it ideal for AI-native applications and large-scale deployments.

Key Features:

• Serverless Inference: Pay-per-token API for fast and scalable model deployment.
• Dedicated Endpoints: Custom hardware deployment with dedicated endpoints.
• Fine-Tuning Platform: Upgraded support for larger models and longer contexts (up to 32K tokens).
• GPU Cloud Services: Instant and reserved clusters, including Frontier AI Factory scaling to 100K+ NVIDIA GPUs.
• ATLAS Acceleration: Runtime-learning accelerators for up to 4x faster LLM inference.
• Batch Inference API: Process billions of tokens at 50% lower cost.
• Model Library: Access to over 200 open-source models including Llama, DeepSeek, Qwen, and Kimi.
• Together Chat: AI chat application for open-source models.
• Code Execution: Tools like Code Sandbox and Code Interpreter for AI development.
• Model Platform: APIs for text, vision, audio, video, transcription, embeddings, rerank, and moderation.
• Developer Ecosystem: Documentation, research, example apps, and cookbooks.
• Scalability: Horizontal scalability and rapid integration for large-scale applications.

Pricing: Together.ai offers pricing for inference, fine-tuning, code execution, and GPU clusters, with models based on per-token, per-hour, or per-session costs.

Conclusion: Together.ai is a robust and scalable AI platform that empowers developers and organizations to harness the full potential of open-source models with high performance, flexibility, and cost efficiency, making it a top choice for advanced AI applications.