Together AI vs Anyscale

By valuation, Together AI is the larger company at $3.3B versus $1B — a 3.3x difference. Size can also be measured by team: Together AI employs 100 people while Anyscale has 250 employees.

Together AI has raised more in total funding at $533.5M, compared to Anyscale's $281M — a gap of $252.5M. Combined, the two companies have completed 6 known funding rounds.

Together AI leads with an Awaira Score of 77/100, while Anyscale sits at 72/100. That 5-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Together AI was founded by Ce Zhang in 2022. Anyscale was founded by Robert Nishihara in 2019. Visit each company's profile on Awaira for a full founder biography.

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. Anyscale: Anyscale is an AI infrastructure company founded in 2019 that develops and commercializes Ray, an open-source distributed computing framework. Ray enables developers to scale Python applications from laptops to clusters, addressing the computational demands of machine learning workloads. The company provides both open-source Ray and commercial offerings, including Ray Cloud, a managed platform for running distributed AI applications. Anyscale's technology stack focuses on simplifying distributed computing for data scientists and ML engineers who lack distributed systems expertise. Ray supports tasks like hyperparameter tuning, reinforcement learning, and large-scale model training. The framework has gained adoption across organizations building production AI systems. The company has raised $281 million across multiple funding rounds, achieving a $1.0 billion valuation as of its Series C stage. This positions Anyscale within the competitive AI infrastructure market alongside companies addressing similar distributed computing challenges. Anyscale's competitive positioning centers on Ray's ease of use compared to traditional distributed computing frameworks. The open-source community contribution has driven adoption, while the commercial platform generates recurring revenue. The company operates in a growing sector as organizations increasingly require scalable infrastructure for large language models and complex AI workloads. Anyscale monetizes an influential open-source framework by offering managed services and enterprise support to organizations scaling AI applications.

Anyscale got there first, launching in 2019 — that's 3 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.

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

Yes — they're direct rivals. Both Together AI and Anyscale compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.