Cerebras Systems Inc.
NASDAQ Global MarketCapital Structure
•
in mil. unless spec.Working Capital
•
in mil. unless spec.Growth Rates
•
in mil. unless spec.Quarterly Revenue
•
in mil. unless spec.Quarterly Earnings Per Share
•
in mil. unless spec.Quarterly Dividends Per Share
•
in mil. unless spec.- CEO
- Andrew D. Feldman
- Full Time Employees
- 784
- Sector
- Technology
- Industry
- Semiconductors
- Address
- 1237 East Arques Avenue Sunnyvale CA United States of America 94085
- IPO Date
- May 14, 2026
- CIK
- 0002021728
- Website
- cerebras.ai
- Similar Companies
- Business
- Cerebras Systems is a developer of wafer-scale AI hardware and related software platforms that accelerate training, inference, and deployment of large-scale artificial intelligence models, with a focus on high-performance computing for enterprise and research workloads. Main Products and Services - CS-3 System and wafer-scale processors: rack-scale AI systems built around large-scale wafer-scale engines designed for ultra-high parallelism, low-latency interconnects, and efficient memory bandwidth to enable frontier-scale model training and inference. - AI Supercomputers and clusters: turnkey datacenter-ready configurations comprising multiple Cerebras systems for scale-out AI workloads, with integrated software stacks for orchestration, model deployment, and performance optimization. - Training Cloud: managed, on-demand environment for large-model training and fine-tuning, providing access to Cerebras hardware, scalable resources, and a streamlined software layer for model development. - Inference Cloud/Data Center Services: managed production inference environments enabling real-time AI model serving, monitoring, and operational scaling across enterprise workloads. - Inference Data Centers: geographically distributed facilities providing dedicated environments for deploying and running AI inference workloads at scale, with location-specific deployment options. - Software and development tools: proprietary software stack for model development, optimization, and deployment, including model libraries, compilers, and runtime tooling to maximize performance on Cerebras hardware. - Model training and optimization services: engineering services and collaboration to accelerate model development, including guidance on model architecture, data handling, and performance tuning. - AI acceleration platforms: integrated solutions that combine hardware and software to accelerate workloads across domains such as natural language processing, computer vision, and scientific computing. Latest Major Company Changes - Strategic expansion of AI data centers and global footprint: announces multiple new AI data center locations across North America and Europe to support production-grade AI training and inference at scale. - Potential IPO plans: reports indicate ongoing consideration of a U.S. initial public offering with targeted timelines in 2026, reflecting a phase of growth and market expansion, though no definitive listing details are provided publicly. - Partnerships and alliances: engages in collaborations with enterprise customers and ecosystem partners to broaden deployment of its wafer-scale AI systems and to integrate with complementary AI software stacks. - New product introductions and enhancements: ongoing development and dissemination of next-generation wafer-scale processors and systems, along with enhanced managed services for training and inference to simplify deployment in enterprise environments. - Corporate and organizational developments: continued alignment of product lines and go-to-market strategies to support large-scale AI adoption in industries such as healthcare, scientific research, finance, and manufacturing. Additional Context - Industry and segments: AI hardware, high-performance computing, AI model training and inference, enterprise AI deployments. - Target markets: large enterprises, research institutions, and cloud/datacenter operators seeking frontier-scale AI capabilities. - Geographic operations: United States and international markets, with data center and customer presence in multiple regions including North America and Europe; headquarters located in the United States. - Founding year and headquarters: established to develop wafer-scale AI technology; headquarters operations centered in the U.S. - Subsidiaries/affiliates: operates as a standalone hardware-software platform provider with potential partner ecosystems and customer OEM relationships.
Tech Stocks Surge as Momentum Traps the Bears
INVESTOR ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of Cerebras Systems Inc. - CBRS
Best-Performing Leveraged ETF Areas of Last Week
Kaplan Fox Alerts Cerebras Systems Inc. (CBRS) Investors to an Investigation of Potential Securities Law Violations
Kaplan Fox Announces a Securities Investigation into Cerebras Systems Inc. (CBRS) - Investors Encouraged to Contact the Firm
Cerebras Systems Shares Climb 5% After Key Trading Signal
INVESTOR ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of Cerebras Systems Inc. - CBRS
Nvidia vs. AMD vs. Cerebras: Which Is the Best AI Inference Stock to Buy Today?
Nvidia vs Cerebras: Which Is the Better Discount AI Buy Now?
INVESTOR ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of Cerebras Systems Inc. - CBRS
5 Under the Radar AI Chip Stocks Powering the Data Center Boom
Cerebras Rides the Shift to Faster AI Inference: More Upside Ahead?
Cerebras gains UBS confidence boost as European capacity expansion supports OpenAI deployment plans
Is CBRS Stock a Buy or a Wait as Growth Meets Execution Risk?
CBRS' European Expansion Strengthens AI Growth Story: What's Ahead?
Cerebras gains UBS confidence boost as European capacity expansion supports OpenAI deployment plans
Cerebras Systems, OpenAI Tout $20B AI Compute Deal and Europe Data Center Push
INVESTOR ALERT: Pomerantz Law Firm Investigates Claims On Behalf of Investors of Cerebras Systems Inc. - CBRS
Cerebras stock jumps as Europe AI expansion fuels OpenAI infrastructure
Flex and Cerebras Expand Partnership to Scale American Manufacturing of Cerebras AI Supercomputers