Where is Cerebras Systems headquartered?

Cerebras Systems is headquartered in Sunnyvale, USA. The company has a team of 700+ people.

What does Cerebras Systems do?

Cerebras Systems operates in the AI Infrastructure sector. A computer systems company that builds the world's largest and fastest AI processors to accelerate deep learning training and inference at massive scale. 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.

When was Cerebras Systems founded?

Cerebras Systems was founded in 2016. It is based in Sunnyvale, USA.

Who is the CEO of Cerebras Systems?

Andrew Feldman is the CEO of Cerebras Systems. The company was founded in 2016.

Where is Cerebras Systems located?

Cerebras Systems is headquartered in Sunnyvale, USA.

What funding stage is Cerebras Systems at?

Cerebras Systems is currently at the Public stage.

How many employees does Cerebras Systems have?

Cerebras Systems has approximately 700+ employees.

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: $4.8B+. Latest round: IPO. Key investors include Tiger Global, Benchmark, Fidelity Management, Alpha Wave Global, 1789 Capital, G42, Coatue, Atreides Management, Altimeter Capital.

AMW Analysis

Cerebras Systems designs wafer-scale AI processors intended to accelerate deep learning training and inference beyond the performance of traditional GPU clusters, using a single large chip architecture rather than multi-chip clusters. Founded in 2016 and based in Sunnyvale, the company has raised more than $4.8 billion to date from investors including Tiger Global, Benchmark, Fidelity Management, G42, Coatue, and Altimeter Capital, culminating in an IPO.

Recent news flow shows rapid commercial and capital-markets momentum: a $1 billion Series H tied to a $23 billion valuation followed a $10 billion compute deal with OpenAI for 750 megawatts, and the company has positioned its CS-3 systems around inference speed relative to GPUs. Its IPO was subsequently upsized from 28 million shares at $115-$125 to 30 million shares at $150-$160, raising the potential valuation to $34.4 billion and the raise to $4.8 billion, with reported advance orders from banks. Partnership activity includes a deployment of 64 CS-3 systems in India and the UAE forming an 8-exaflop compute cluster, alongside positioning toward buyers seeking alternatives to Nvidia hardware.

AMW analysis, generated from 8 tracked news signals.

Founded: 2016
Headquarters: Sunnyvale, USA
Team size: 700+
Total funding: $4.8B+

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

OpenAI: Multi-year Master Relationship Agreement for 750MW of ultra low-latency AI inference compute, valued at $20B+ over three years., AWS: First cloud provider for Cerebras disaggregated inference solution, available through Amazon Bedrock (March 2026)., 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.

Notable customers

OpenAI, AWS, G42, Mayo Clinic, Argonne National Laboratory, GlaxoSmithKline (GSK), AstraZeneca, Meta, Cognition, AlphaSense, Notion

Major milestones

Completed IPO on Nasdaq May 14, 2026 (CBRS), raising $6.38B at $56.4B valuation, Signed $20B+ Master Relationship Agreement with OpenAI for 750MW of inference compute, Partnered with AWS as first cloud provider for disaggregated inference via Amazon Bedrock, Raised $1B Series H led by Tiger Global at $23B valuation (Feb 2026), Closed $850M revolving credit facility (Apr 2026), Revenue reached $510M in 2025 with GAAP profitability of $237.8M net income

Growth metrics

Revenue grew from $290M in 2024 to $510M in 2025 (+76% YoY); GAAP net income of $237.8M in 2025; Headcount ~900+ employees as of mid-2026.

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.

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Official website: https://www.cerebras.ai