Together AI

Together AI is a platform designed for developers and enterprises to build, train, and deploy generative AI models efficiently. Together AI is a platform that provides accelerated training, fine-tuning, and inference for AI models, emphasizing open-source solutions and flexible deployment options.

Here's a detailed overview:

• Core Functionality:

  • AI Model Deployment: Together AI offers infrastructure for running, fine-tuning, and training generative AI models, focusing on open-source solutions.

  • Cloud Services: Provides a decentralized cloud platform that allows for scalable AI model use, including pre-training and fine-tuning.

• Key Features:

  • AI Acceleration Cloud: Aimed at optimizing inference, fine-tuning, and model deployment with low latency and cost efficiency.

  • Model APIs: Easy access to a wide range of leading open-source models for various tasks like chat, image generation, and code completion.

  • Flexible Deployment: Options to run models on serverless endpoints, dedicated GPUs, inside your VPC, or on-premises, catering to different privacy, performance, and cost needs.

  • GPU Clusters: Scalable compute solutions for training or inference, with access to high-end GPUs like NVIDIA H100s.

  • Custom Models: Allows companies to work with Together AI to develop tailored models based on their specific data and requirements.

• Products and Services:

  • Together Inference Engine: A highly scalable solution for running models with optimized performance metrics.

  • Fine-Tuning: Rapid model customization with your data for specific applications.

  • Embeddings Endpoint: Offers high-quality embeddings for tasks like retrieval and classification, competing with or surpassing some proprietary solutions.

  • Together API: A gateway to use, fine-tune, and deploy over 50 leading open-source models with just a few lines of code.

• Performance and Efficiency:

  • Speed and Cost: Claims to provide significant reductions in the cost of AI workloads with performance improvements, like 4x faster inference in some cases.

  • Model Optimization: Techniques like adaptive speculation and model distillation are employed to enhance model performance and reduce costs.

• Community and Research:

  • Open Source Advocacy: Together AI is committed to advancing the open-source AI community, contributing models, datasets, and research.

  • Research-Driven: The company has roots in academic research, with founders and team members who are noted AI researchers.

• Business and Funding:

  • Funding: Has raised significant capital, with a Series C round led by Salesforce Ventures valuing the company at $1.3 billion, showing strong investor interest in their approach to AI infrastructure.

  • Market Position: Positioned as a key player in providing alternatives to big, closed foundation model companies, focusing on open-source AI.

• User Experience and Developer Resources:

  • API and SDK: Offers an API key system for easy integration into development workflows, along with Python, Node.js, and other SDKs.

  • Documentation and Support: Comprehensive guides and a support system for developers to get started and troubleshoot issues.

• Recent Developments:

  • AWS Marketplace Integration: Announced availability on AWS Marketplace, making it easier for AWS customers to leverage Together AI's capabilities.

  • New Model Releases: Regular updates and new model introductions, like the Mixture-of-Agents, pushing the boundaries of AI performance.

Together AI is carving a niche in the AI ecosystem by offering scalable, cost-effective, and performance-optimized solutions for AI model deployment, particularly emphasizing open-source and transparency in AI development.