Lambda Labs vs Together AI

By valuation, Lambda Labs is the larger company at $4B versus $3.3B — a 1.2x difference. Size can also be measured by team: Lambda Labs employs 300 people while Together AI has 100 employees.

Lambda Labs has raised more in total funding at $2.3B, compared to Together AI's $533.5M — a gap of $1.8B. Combined, the two companies have completed 6 known funding rounds.

Lambda Labs 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.

Lambda Labs was founded by Stephen Balaban in 2012. Together AI was founded by Ce Zhang in 2022. Visit each company's profile on Awaira for a full founder biography.

Lambda Labs: Lambda Labs is a cloud infrastructure provider specializing in GPU and AI computing resources, founded in 2012 and headquartered in the USA. The company operates a Series E funding stage with a valuation of $4.0 billion and has raised $2.3 billion in total funding. Lambda Labs provides on-demand cloud computing infrastructure optimized for machine learning, deep learning, and AI workloads, offering GPU instances, CPU resources, and storage solutions designed for researchers, enterprises, and AI practitioners. The platform enables users to access high-performance computing resources without significant capital expenditure, addressing the computational demands of training large-scale AI models. Lambda Labs competes in the AI infrastructure market alongside established providers like AWS, Google Cloud, and Microsoft Azure, as well as specialized competitors such as Lambda, Crusoe Energy, and CoreWeave. The company positions itself as an alternative to hyperscale cloud providers by offering specialized infrastructure optimized specifically for AI and machine learning workloads, potentially with competitive pricing and customer-focused service models. Lambda Labs serves various sectors requiring intensive computational resources, including academic research institutions, startups, and enterprise organizations developing AI applications. The company's growth trajectory reflects increasing demand for accessible, scalable AI computing infrastructure as organizations accelerate machine learning adoption. Its substantial funding and valuation indicate investor confidence in the expanding AI infrastructure market. Lambda Labs provides specialized GPU cloud infrastructure optimized for AI and machine learning workloads as an alternative to general-purpose hyperscale cloud providers. 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.

Lambda Labs got there first, launching in 2012 — that's 10 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.

Lambda Labs has about 300 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.

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