Cerebras vs Modular AI

By valuation, Cerebras is the larger company at $8.1B versus $1.6B — a 5.1x difference. Size can also be measured by team: Cerebras employs 400 people while Modular AI has 150 employees.

Cerebras has raised more in total funding at $1.8B, compared to Modular AI's $380M — a gap of $1.4B. Combined, the two companies have completed 11 known funding rounds.

Cerebras leads with an Awaira Score of 79/100, while Modular AI sits at 76/100. That 3-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Cerebras was founded by Andrew Feldman in 2016. Modular AI was founded by Chris Lattner in 2022. Visit each company's profile on Awaira for a full founder biography.

Cerebras: Cerebras Systems designs and manufactures specialized processors for artificial intelligence and machine learning applications. Founded in 2016, the company develops custom silicon chips optimized for training and inference of large language models and deep learning workloads. Its flagship product, the Cerebras Wafer Scale Engine (WSE), is one of the largest computer chips ever built, integrating hundreds of billions of transistors on a single wafer to deliver high compute density and memory bandwidth for AI workloads. The WSE architecture prioritizes parallel processing capabilities and reduced latency for neural network training, distinguishing it from traditional GPU-based approaches used by competitors like NVIDIA. Cerebras addresses the infrastructure layer of AI computing, targeting organizations training large-scale models. The company has secured substantial venture funding, indicating strong investor confidence in custom AI chip development. Cerebras has been pursuing an IPO and has attracted investment from firms including Tiger Global, Benchmark, and Altimeter Capital. Its competitive positioning centers on delivering superior compute efficiency and performance-per-watt compared to conventional accelerators. The company targets both cloud service providers and enterprises with significant AI computing requirements. Cerebras represents the emerging wave of AI-specific chip designers competing in the rapidly expanding AI infrastructure market, though adoption remains limited compared to established GPU manufacturers. Cerebras builds wafer-scale processors specifically engineered for large language model training, offering an alternative architecture to traditional GPU-based AI computing infrastructure. 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.

Cerebras got there first, launching in 2016 — that's 6 years 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.

Cerebras has about 400 employees; Modular AI has about 150. 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 Cerebras and Modular AI compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.