Modular AI vs Nscale

By valuation, Nscale is the larger company at $14.6B versus $1.6B — a 9.1x difference. Size can also be measured by team: Modular AI employs 150 people while Nscale has 200 employees.

Nscale has raised more in total funding at $2B, compared to Modular AI's $380M — a gap of $1.6B. Combined, the two companies have completed 5 known funding rounds.

Nscale leads with an Awaira Score of 82/100, while Modular AI sits at 76/100. That 6-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Modular AI was founded by Chris Lattner in 2022. Nscale's founder information is not currently available in our database.

Modular AI: Modular AI, founded in 2022 and valued at $1.6 billion, develops infrastructure software for AI systems. The company has raised $380 million in Series C funding. Modular AI's core focus is building compiler and runtime technologies that optimize AI model execution across diverse hardware platforms. The company's primary product is Mojo, a programming language designed to bridge the gap between research and production AI systems, enabling developers to write performant code without switching between multiple languages. Mojo combines Python's accessibility with systems programming capabilities, targeting the inefficiencies in traditional AI development workflows. The platform addresses a critical pain point in AI infrastructure: the fragmentation between high-level ML frameworks and low-level optimization requirements. Modular AI positions itself within the growing AI infrastructure layer, competing alongside companies focused on model optimization, deployment, and hardware abstraction. The company operates in a competitive landscape that includes established players in compiler technology and emerging AI infrastructure vendors. Modular AI's approach emphasizes developer productivity and hardware portability, allowing AI engineers to optimize code for various accelerators and processors. The company's growth trajectory reflects broader demand for specialized infrastructure solutions as enterprise AI adoption accelerates. Specific customer deployments are not widely disclosed, though the company targets enterprises seeking deployment flexibility and performance optimization. Modular AI develops Mojo, a systems programming language designed to unify AI research and production workflows by eliminating language switching friction. Nscale: Nscale is a United Kingdom-based AI infrastructure company that builds and operates GPU data centers optimized for artificial intelligence workloads. The company raised $2 billion in a Series C round — the largest venture capital round in European history — at a $14.6 billion valuation. Nscale provides cloud computing infrastructure purpose-built for training and deploying large AI models, competing with hyperscalers like AWS and Azure as well as AI-native cloud providers like CoreWeave and Lambda. The company operates data centers across Europe and is expanding globally to meet surging demand for AI compute capacity. Nscale's platform supports the full AI development lifecycle from model training through production inference at scale.

Nscale got there first, launching in 2021 — that's 1 year of extra runway. Modular 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.

Modular AI has about 150 employees; Nscale has about 200. 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 Modular AI and Nscale compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.