Hugging Face vs Together AI

By valuation, Hugging Face is the larger company at $4.5B versus $3.3B — a 1.4x difference. Size can also be measured by team: Hugging Face employs 250 people while Together AI has 100 employees.

Together AI has raised more in total funding at $533.5M, compared to Hugging Face's $395M — a gap of $138.5M. Combined, the two companies have completed 7 known funding rounds.

Hugging Face leads with an Awaira Score of 82/100, while Together AI sits at 77/100. That 5-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Hugging Face was founded by Clement Delangue in 2016. Together AI was founded by Ce Zhang in 2022. Visit each company's profile on Awaira for a full founder biography.

Hugging Face: Hugging Face is an AI platform company founded in 2016 that has become a central hub for the machine learning community. The company provides open-source libraries, pre-trained models, and collaborative tools for natural language processing and machine learning development. Its flagship offering, the Transformers library, enables developers to access and fine-tune state-of-the-art models for tasks including text classification, translation, summarization, and question-answering. The Hugging Face Model Hub hosts over 700,000 open-source models contributed by researchers and practitioners globally, making it a primary resource for model discovery and sharing. The company also offers inference APIs, AutoTrain for automated model training, and enterprise solutions for organizations deploying models in production. Hugging Face has achieved a $4.5 billion valuation with $395 million in total funding as of its Series D stage. The platform serves a diverse user base ranging from individual researchers to major technology companies. Its competitive positioning centers on democratizing access to advanced AI models through open-source initiatives and community-driven development. The company generates revenue through hosted inference services, enterprise features, and AutoTrain premium offerings. Growth has been driven by increasing demand for accessible AI tools and the model-sharing economy expansion. Hugging Face operates the largest open-source model repository, positioning it as infrastructure for the AI development ecosystem rather than a consumer application. Together AI: Together AI is an AI infrastructure company founded in 2022 that provides cloud-based platforms for training, fine-tuning, and deploying large language models. The company operates a managed inference service and model hosting platform that enables developers and enterprises to run open-source and proprietary models at scale. Together AI's core offering allows customers to access GPU compute resources specifically optimized for LLM workloads without building infrastructure in-house. The company positions itself in the competitive inference and model deployment segment, competing with services like Replicate, Modal, and cloud providers' native ML offerings. Together AI emphasizes open-source model support and cost-efficient inference through optimized serving techniques. The platform supports popular models including Llama, Mistral, and other community-developed architectures. With $228 million in total funding and a $1.3 billion valuation as of its Series B stage, Together AI has secured substantial capital to expand its infrastructure and product capabilities. The company serves use cases spanning application development, research, and enterprise deployment scenarios. Its growth trajectory reflects increased demand for accessible LLM infrastructure alternatives to proprietary API providers, though the market remains highly competitive with low switching costs and commoditizing pricing dynamics. Together AI addresses the infrastructure gap for organizations seeking open-source LLM deployment alternatives to closed commercial APIs.

Hugging Face got there first, launching in 2016 — that's 6 years of extra runway. Together AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Hugging Face has about 250 employees; Together AI has about 100. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Not head-to-head. Hugging Face is in ML Platform while Together AI plays in AI Infrastructure — different enough that they usually serve different buyers. But AI verticals are converging fast, and their roadmaps could overlap more over time.