Baseten vs Cerebras

By valuation, Cerebras is the larger company at $8.1B versus $5B — a 1.6x difference. Size can also be measured by team: Baseten employs 150 people while Cerebras has 400 employees.

Cerebras has raised more in total funding at $1.8B, compared to Baseten's $585M — a gap of $1.2B. Combined, the two companies have completed 13 known funding rounds.

Baseten leads with an Awaira Score of 80/100, while Cerebras sits at 79/100. That 1-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Baseten was founded by Tuhin Srivastava in 2019. Cerebras was founded by Andrew Feldman in 2016. Visit each company's profile on Awaira for a full founder biography.

Baseten: Baseten is an AI infrastructure company that provides a platform for deploying, scaling, and managing machine learning models in production. Founded in 2019, the company offers a serverless computing environment specifically designed for AI workloads, enabling developers and organizations to run large language models and other AI applications without managing underlying infrastructure. The platform handles model serving, auto-scaling, and resource optimization, abstracting away operational complexity. Baseten supports various model types and frameworks, allowing users to deploy custom models or utilize pre-built solutions. The company targets enterprises and developers requiring reliable, scalable inference infrastructure for AI applications. Its technology stack emphasizes performance optimization and cost efficiency for computationally intensive AI workloads. Baseten has secured $585 million in total funding, achieving a $5.0 billion valuation, positioning it among well-capitalized AI infrastructure providers. The company operates in a competitive landscape alongside similar platforms offering model deployment and inference services. Its growth trajectory reflects increasing enterprise demand for managed AI infrastructure solutions as organizations accelerate AI adoption. The Series E funding stage indicates maturity and substantial market validation. Baseten competes with other infrastructure providers offering model serving capabilities, differentiated through its focus on ease of use and performance optimization for production AI workloads. Baseten addresses the critical infrastructure gap between AI model development and reliable production deployment at scale. 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.

Cerebras got there first, launching in 2016 — that's 3 years of extra runway. Baseten didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

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