Cerebras
Highly Engaged Employees
Highly Engaged EmployeesElectronics · California, United States · 501-1,000 Employees
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Overview
Headquarters
1237 E Arques Ave, Sunnyvale, California...Phone Number
(650) 933-4980Website
www.cerebras.aiRevenue
$680.7 MillionStock Symbol
CBRSIndustry
ZI Rank: 1
Signal Type
Mar
Apr
May
Jun
Jul
Aug
ZI Rank
2
2
3
2
1
1
About Cerebras
Cerebras is an artificial intelligence computing company that develops advanced processors and systems for machine learning workloads. Its wafer scale technology combines hardware and software to accelerate model training and inference. The company provides cloud and on premises platforms that help enterprises, researchers, and developers run large language models and complex AI applications with greater speed and efficiency.Explore more
Cerebras Org Chart
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Company Profile Activity
Activity Insights
Cerebras is experiencing very low activity levels compared to other companies in the Manufacturing sector.
What does this means?
Cerebras is drawing exceptional interest within the Manufacturing industry, suggesting notable developments or strong market momentum, learn more about Cerebras.
Cerebras financials insights
Gather financial insights about Cerebras, including details on funding rounds, investors, total funding, and acquisitions, to gain a comprehensive understanding of their financial strategy.
2016
Series A
$27M
2017
Series C
$60M
2018
Series D
$88M
2019
Series E
$200M
2021
Series F
$250M
2025
Series G
$1.1B
2026
Series H
$1B
IPO
$5.5B
Cerebras Tech Stack
A closer look at the technologies used by Cerebras
Most Recent Scoops
Open Position
Project
Cerebras has outlined a multi-year technology roadmap targeting a doubling of inference speed every year, with throughput reaching 20 times current levels in the second half of next year. The overall trajectory projects 4 times faster speed and 20 times more throughput over the next several years.
Artificial Intelligence
Project
Cerebras has introduced the Nexus rack-scale platform, a modular architecture designed to support the CS-4, CS-5 (targeted for 2027), and CS-6 generations through independent innovation on power, compute, and IO components. The platform roadmap commits to 2 times more speed every year and up to 20 times higher throughput by 2027.
Product Launch
Project
Cerebras has developed a disaggregated inference solution that combines GPUs for the prefill phase and Cerebras for the decode phase, achieving performance that is 10 times faster than GPU-only solutions and delivers 5 times more throughput than Cerebras-only configurations. This architecture enables Cerebras to pursue higher throughput without sacrificing its per-user speed advantage.
Machine Learning, Artificial Intelligence
Product Launch
Product Development, Product Launch, Product Management, Business Development, Artificial Intelligence, Energy / Power
Cerebras News & Media
Cerebras Systems vs. Nebius Group N.V.: Which AI Hardware Stock Is a Better Buy in 2026?
Cerebras swung to a 46.6% net margin on $510M revenue, while Nebius grew 351% but carries $3.7B negative free cash flow.Cerebras's CEO and CTO Just Sold $200 Million, Here's What They Might Know
Key TakeawaysCerebras’s own core gross margin fell to 40. 6% in Q2 2026 from 46.Cerebras (CBRS) Plants A 165 MW Flag In Finland While Still Losing Money
On September 1, Cerebras Systems (NASDAQ:CBRS) announced a new AI data center in Mikkeli, Finland, built with partner Compute Nordic Finland. The site will grow in stages to 165 MW of contracted capacity, and construction on the first 50 MW is already under way. It is a big physical commitment from a company that sells […]Cerebras Systems vs. Innodata: Which AI-Driven Tech Stock Is a Better Buy in 2026?
Cerebras has the buzz, the OpenAI partnership, and the fastest inference chips in the market. Innodata has 12 straight quarters of growth, record profits, and a broadening customer base.
Read more news
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Cerebras is an artificial intelligence computing company that develops advanced processors and systems for machine learning workloads. Its wafer scale technology combines hardware and software to accelerate model training and inference. The company provides cloud and on premises platforms that help enterprises, researchers, and developers run large... Read More
