Cerebras Systems Inc. (NASDAQ: CBRS) — Company Overview, News & Financial Data
Cerebras Systems Inc.
CBRS Cerebras Systems Inc.
Company profile
Cerebras Systems Inc.
Cerebras Systems Inc. is a technology company that designs specialized wafer-scale AI chips and high-performance computing hardware for artificial intelligence applications. The company develops wafer-scale engine processors and rack-scale computer systems optimized for deep learning, large language model training, and real-time inference workloads. Its architecture integrates memory, compute, and interconnect capabilities on a single silicon wafer to overcome traditional hardware communication bottlenecks. Cerebras provides cloud-based inference services, turnkey compute systems, and software platforms to enterprise customers, research institutions, healthcare organizations, and government agencies globally.
Snapshot
Public USOwnership
2016Year founded
501–1,000Employees
Sunnyvale, United StatesHead office
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Global footprint
Operations
Products and/or services of Cerebras Systems Inc.
- Wafer-Scale AI Hardware Systems: Rack-scale supercomputing systems powered by wafer-scale processors that integrate hundreds of thousands of compute cores and on-chip memory onto a single silicon wafer for deep learning training and high-speed model execution.
- Cloud Inference Services: Public API endpoints and cloud-based infrastructure delivering high-speed token generation, real-time response capability, and low-latency execution for frontier large language models and generative artificial intelligence applications.
- On-Premises Dedicated Infrastructure: Turnkey compute clusters and dedicated wafer-scale hardware installations deployed directly within customer data centers for enterprise, pharmaceutical research, and government entities requiring strict data residency and compliance.
- AI Model Training and Fine-Tuning: Infrastructure solutions and pre-training platforms that enable enterprise customers and research institutions to pre-train custom foundational models or fine-tune open-weight models using proprietary organizational datasets.
- Integrated Software Stack: Software compilers, development frameworks, and API translation tools offering full compatibility with standard development protocols to optimize neural network compilation, workload distribution, and developer workflow integration.
- Disaggregated Hybrid Compute Solutions: Multi-system infrastructure architectures combining wafer-scale engines with external compute platforms to accelerate high-throughput prefill operations and ultra-fast token generation across large-scale model deployment workflows.