Lambda Labs vs Modal

By valuation, Lambda Labs is the larger company at $4B versus $1.1B — a 3.6x difference. Size can also be measured by team: Lambda Labs employs 300 people while Modal has 30 employees.

Lambda Labs has raised more in total funding at $2.3B, compared to Modal's $111M — a gap of $2.2B. Combined, the two companies have completed 4 known funding rounds.

Lambda Labs leads with an Awaira Score of 82/100, while Modal sits at 71/100. That 11-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. Modal was founded by Erik Bernhardsson in 2021. 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. Modal: Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications. The platform enables developers to build, deploy, and scale AI models with reduced infrastructure complexity. Modal's core offering centers on serverless computing infrastructure specifically optimized for AI workloads, allowing users to run GPU-intensive tasks without managing underlying hardware directly. The company positions itself within the broader AI infrastructure category, competing alongside platforms like Replicate, Lambda Labs, and cloud providers' AI services. Modal's approach focuses on simplifying the deployment pipeline for machine learning models, enabling developers to move from development to production environments more efficiently. The platform supports various frameworks and use cases including LLM inference, image generation, and general machine learning tasks. Founded in 2021, Modal operates at the Seed stage with total funding of $20 million and a valuation of $0.1 billion. The company benefits from growing demand for accessible AI infrastructure as organizations scale machine learning workloads. Modal's customer base includes AI developers and teams building applications that require computational resources beyond typical cloud offerings. The competitive landscape remains fragmented, with multiple players addressing different aspects of AI infrastructure. Modal's growth trajectory reflects broader market expansion in AI tooling and infrastructure services. Modal addresses the infrastructure gap between AI research and production deployment by offering serverless computing optimized specifically for GPU-intensive machine learning workloads.

Lambda Labs got there first, launching in 2012 — that's 9 years of extra runway. Modal didn't arrive until 2021. 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; Modal has about 30. 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 Modal compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.