Fireworks AI vs Cerebras

By valuation, Cerebras is the larger company at $8.1B versus $4B — a 2x difference. Size can also be measured by team: Fireworks AI employs 150 people while Cerebras has 400 employees.

Cerebras has raised more in total funding at $1.8B, compared to Fireworks AI's $327M — a gap of $1.5B. Combined, the two companies have completed 9 known funding rounds.

Fireworks AI 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.

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

Fireworks AI: Fireworks AI, founded in 2022, develops infrastructure software for deploying and running large language models (LLMs) in production environments. The company provides a platform that enables organizations to deploy, fine-tune, and optimize open-source and proprietary models with reduced latency and cost. Fireworks AI's core offering focuses on inference acceleration, allowing enterprises to serve LLMs efficiently at scale through specialized hardware optimization and software acceleration techniques. The platform supports multiple model architectures and enables customization for specific use cases, including content generation, summarization, and code completion. The company has secured $327M in total funding at a $4.0B valuation as of Series C, reflecting significant investor confidence in AI infrastructure. Fireworks AI operates in a competitive segment alongside providers like Together AI, Modal, and cloud-based solutions from major vendors. The company targets enterprises seeking to reduce operational costs associated with LLM deployment while maintaining performance control and data privacy. Its position reflects broader market trends toward distributed AI infrastructure and the need for cost-efficient model serving solutions. The infrastructure layer Fireworks occupies addresses a critical gap between model development and production deployment, supporting the growing adoption of generative AI across industries. Fireworks AI specializes in inference optimization infrastructure, enabling cost-effective production deployment of large language models for enterprise customers. 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 6 years of extra runway. Fireworks 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.

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