Together AI Company Profile

Background

Overview

Together AI, founded in June 2022 and headquartered in San Francisco, California, is dedicated to democratizing artificial intelligence (AI) by providing an open-source cloud platform. The company's mission is to make advanced AI models accessible and efficient for developers and enterprises, emphasizing transparency, cost-effectiveness, and security. By offering decentralized AI infrastructure, Together AI enables users to run open-source AI models without relying on traditional cloud services.

Founding Team

Vipul Ved Prakash (CEO): A seasoned entrepreneur and former Apple executive, Prakash has a rich background in AI and machine learning. He previously founded Topsy, a social media analytics company acquired by Apple in 2013.

Ce Zhang (CTO): An academic with extensive experience in machine learning, Zhang has contributed significantly to AI research and development.

Percy Liang: A Stanford University professor and director of its Center for Research on Foundation Models, Liang brings deep expertise in AI research.

Chris Ré: Co-founder of SambaNova Systems and Snorkel AI, Ré has a strong background in AI infrastructure and applications.

Key Strategic Focus

Together AI focuses on providing a decentralized platform that connects users to a network of high-end GPU chips, allowing them to run open-source AI models efficiently. The company's core objectives include:

Empowering Open-Source AI: By offering a suite of products that enable users to build on open and custom AI foundation models cost-effectively.

Providing Scalable Infrastructure: Offering access to GPU clusters optimized for foundation model training, with flexible commitments and high-performance networking.

Enhancing AI Accessibility: Developing tools like Together Inference and Together Fine-Tuning to simplify the deployment and customization of AI models.

Financials and Funding

Together AI has demonstrated significant growth and investor confidence through multiple funding rounds:

Seed Funding (January 2023): Raised $32.5 million from Lux Capital and other investors, valuing the company at $200 million.

Series A (November 2023): Secured $102.5 million led by Kleiner Perkins, with participation from NVIDIA and Emergence Capital.

Series A Extension (March 2024): Raised an additional $106 million at a $1.25 billion valuation, led by Salesforce Ventures, with participation from Coatue, Lux Capital, and Emergence Capital.

Valuation (February 2025): Achieved a valuation of $3.3 billion after closing a $305 million funding round.

The capital raised is intended to enhance Together AI's infrastructure, expand its suite of AI tools, and support its mission to make AI more accessible and efficient for a broader range of users.

Technological Platform and Innovation

Together AI distinguishes itself through several proprietary technologies and innovative methodologies:

RedPajama Dataset: An open-source dataset with over 30 trillion tokens, facilitating the training of large language models (LLMs).

FlashAttention v2: An optimization technique that accelerates AI model inference, utilized by leading entities such as OpenAI, Anthropic, Meta, and Mistral.

Together Inference Engine: A high-performance engine that enables users to run inference jobs for machine learning models on scalable infrastructure, offering multiple times faster performance than other inference services.

Together Fine-Tuning: A tool that allows customers to customize leading open-source models with their proprietary datasets, simplifying the fine-tuning process and deployment.

Leadership Team

Vipul Ved Prakash (CEO): Leads the company's strategic vision and operations, leveraging his extensive experience in AI and entrepreneurship.

Ce Zhang (CTO): Oversees the technological development and innovation, ensuring the platform's scalability and performance.

Percy Liang: Contributes to the company's research initiatives, focusing on advancing open-source AI models.

Chris Ré: Provides expertise in AI infrastructure and applications, supporting the development of robust AI tools.

Competitor Profile

Market Insights and Dynamics

The AI infrastructure market is experiencing rapid growth, driven by the increasing adoption of AI across various industries. The global AI server market size was estimated at $26.2 billion in 2023 and is projected to grow to $179 billion by 2032, with a compound annual growth rate (CAGR) of 23.8%.

Competitor Analysis

Together AI operates in a competitive landscape with several key players:

Foundry: Offers a public cloud purpose-built for machine learning workloads, providing flexible compute resources and a self-serve platform for GPU compute.

OctoAI: Provides a platform that helps businesses build machine learning applications without worrying about the underlying infrastructure, focusing on inference and fine-tuning.

RunPod: A cloud-based infrastructure service offering cost-effective and scalable GPU resources, enabling users to train AI models, deploy applications, and scale inference requests.

Lambda: Specializes in GPU workstations, cloud services, and AI infrastructure, serving enterprises, startups, and research labs with notable customers like Microsoft and Amazon.

CoreWeave: A cloud infrastructure platform optimized for GPU-based workloads, providing a wide range of compute options with flexible usage-based pricing.

Strategic Collaborations and Partnerships

Together AI has established significant collaborations to strengthen its market position and innovation capacity:

Crusoe Cloud and Vultr: Partnerships with these AI cloud leaders have enabled Together AI to build a robust computing infrastructure, scaling up to 20 exaflops across multiple data centers in the US and EU.

NVIDIA: Participation in funding rounds and collaboration on GPU technologies have enhanced Together AI's hardware capabilities and performance.

Operational Insights

Together AI's strategic considerations include:

Cost-Effectiveness: Offering access to NVIDIA’s A100 and H100 chips at 20% of the cost compared to major cloud providers, providing significant savings for customers.

Open-Source Commitment: Hosting a diverse repository of open-source models, including Llama 2, Stable Diffusion, and RedPajama, appealing to the open-source community and fostering innovation.

Scalable Infrastructure: Providing a powerful computing infrastructure tailored for high-performance AI applications, offering superior economics for pre-training and inference workloads.

Strategic Opportunities and Future Directions

Together AI is poised to capitalize on several strategic opportunities:

Expansion of Open-Source AI: As organizations seek to control their proprietary IP while advancing generative AI investments, Together AI's open-source platform positions it as a preferred choice.