Skip to main content

Cerebras Systems

Category: AI Infrastructure

A computer systems company that builds the world's largest and fastest AI processors to accelerate deep learning training and inference at massive scale. Cerebras Systems was founded in 2016. The company is led by Andrew Feldman. Based in Sunnyvale, USA. Team size: 700+. Total funding raised: $2.9B. Latest round: Series H (Jan 2026). Key investors include ["Benchmark","Fidelity Management","Alpha Wave Global","1789 Capital","G42","Coatue"].

Founded
2016
Headquarters
Sunnyvale, USA
Team size
700+
Total funding
$2.9B

Value proposition

Delivers orders-of-magnitude more compute performance, memory bandwidth, and communication speed than traditional GPU clusters by using a single wafer-scale chip, drastically reducing AI training time from months to minutes.

Products and solutions

["Wafer-Scale Engine 3 (WSE-3): The world's largest AI chip with 4 trillion transistors and 900,000 AI cores.","Cerebras CS-3 System: An AI supercomputer powered by the WSE-3, designed for easy integration into data centers.","Cerebras Cloud: A high-performance AI-as-a-Service platform for training and inference.","CSoft Software Stack: A comprehensive software suite that makes wafer-scale clusters appear as a single logical device to developers.","Condor Galaxy: A series of massive AI supercomputers (CG-1, CG-2, CG-3) built in partnership with G42."]

Unique value

Pioneered Wafer-Scale Integration (WSI), which keeps the entire silicon wafer intact as one giant processor rather than cutting it into hundreds of small chips, eliminating the 'memory wall' and interconnect bottlenecks.

Target customer

Hyperscale cloud providers, national research laboratories, pharmaceutical giants, sovereign AI initiatives, and Fortune 500 enterprises.

Industries served

["Healthcare & Life Sciences (Drug Discovery)","Energy & Oil/Gas (Seismic Modeling)","Government & Defense","Scientific Research (National Labs)","Financial Services","Generative AI & LLM Development"]

Technology advantage

The WSE-3 provides 52x more on-chip memory and 7,000x more memory bandwidth than a leading Nvidia H100, allowing massive LLMs to fit on a single chip and reducing the power-hungry data movement required in traditional distributed computing.

How they differentiate

Pioneered Wafer-Scale Integration (WSI) which keeps the entire silicon wafer as a single chip, eliminating the 'memory wall' and interconnect bottlenecks found in traditional GPU clusters.

Main competitors

["NVIDIA","SambaNova Systems","Groq","Graphcore"]

Key partnerships

["G42: Multi-billion dollar partnership to build the world's largest distributed AI supercomputers.","Mayo Clinic: Collaboration on generative AI for healthcare and longitudinal patient data analysis.","Qualcomm: Strategic partnership to optimize AI models trained on Cerebras for high-efficiency inference on Qualcomm chips.","Argonne National Laboratory: Long-term research partnership for scientific AI applications.","1789 Capital: Recent lead investor for sovereign AI and domestic infrastructure growth."]

Notable customers

["G42","Mayo Clinic","Argonne National Laboratory","GlaxoSmithKline","AstraZeneca"]

Major milestones

["Filed for IPO in late 2024","Launched the Wafer-Scale Engine 3 (WSE-3) in 2024, the world's largest AI chip","Established multi-billion dollar partnership with G42 to build the Condor Galaxy supercomputer series","Achieved a $22 billion valuation following the January 2026 funding round"]

Growth metrics

Revenue grew from $24.6M in 2023 to an estimated $272M in 2024; Headcount exceeds 700 employees.

Market positioning

High-performance AI infrastructure leader targeting sovereign AI, national labs, and massive-scale LLM training/inference.

Geographic focus

North America, Middle East (specifically UAE via G42 partnership), and Europe.

Patents and IP

Holds over 500 patents and applications globally covering wafer-scale manufacturing, thermal management for giant chips, high-speed interconnects, and specialized AI data-flow architectures.

About Andrew Feldman

Andrew Feldman is a veteran entrepreneur in the data center and networking space. Prior to Cerebras, he was the co-founder and CEO of SeaMicro, which pioneered energy-efficient microservers and was acquired by AMD for $334 million in 2012. Following the acquisition, he served as Corporate Vice President and General Manager at AMD. Earlier in his career, he was the VP of Marketing and Corporate Development at Riverstone Networks from inception through their IPO in 2001.

Official website: