Cerebras vs Nscale

By valuation, Nscale is the larger company at $14.6B versus $8.1B — a 1.8x difference. Size can also be measured by team: Cerebras employs 400 people while Nscale has 200 employees.

Nscale has raised more in total funding at $2B, compared to Cerebras's $1.8B — a gap of $180M. Combined, the two companies have completed 8 known funding rounds.

Nscale leads with an Awaira Score of 82/100, while Cerebras sits at 79/100. 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. Nscale's founder information is not currently available in our database.

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. 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.

Cerebras got there first, launching in 2016 — that's 5 years of extra runway. Nscale didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

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