Cerebras Systems is a technology company.
Cerebras Systems has raised $1.3B across 6 funding rounds.
Cerebras Systems has raised $1.3B in total across 6 funding rounds.
Cerebras Systems is valued at approximately $230.0M.
Cerebras Systems has raised $1.3B in total across 6 funding rounds.
Cerebras Systems is valued at approximately $230.0M.
Cerebras Systems's investors include Atreides Management, Fidelity, Tiger Global Management, 1789 Capital, Alpha Wave Global, Altimeter Capital, AMD, Benchmark, Coatue, Valor Equity Partners, Eclipse Ventures, Accel.
Cerebras Systems builds AI supercomputers powered by the world's largest wafer-scale processors, such as the Wafer-Scale Engine (WSE-3) in the CS-3 system, designed for ultra-fast AI training and inference.[1][2][3] It serves enterprises, research institutions, governments, and AI developers—including customers like Meta, Mayo Clinic, GSK, and national labs—solving the challenges of slow, power-hungry GPU clusters by delivering over 10x faster performance, simpler operation with standard frameworks like PyTorch, and lower energy use.[1][2][5][6] Revenue comes from hardware sales, pay-as-you-go cloud inference, and software/support, with strong growth via integrations like Llama API, Perplexity, and Hugging Face, plus datacenter expansions making it the top high-speed inference provider.[2][3][5]
Founded in 2015 by CEO Andrew Feldman, Chief System Architect Jean-Philippe Fricker, Chief Architect Michael James, Gary Lauterbach, and Sean Lie, Cerebras aimed to pioneer wafer-scale computing—a bold idea whose feasibility was uncertain at the time.[2][3] The team, comprising pioneering technologists and entrepreneurs, emerged from expertise in computer architecture to tackle AI's compute bottlenecks.[2][8] Early traction built through innovation milestones, like the CS-2 and then the 2024 WSE-3/CS-3 launch shattering AI benchmarks, evolving into a leader with global deployments by 2025.[2]
Cerebras rides the explosive demand for scalable AI amid the shift to agentic, real-time, and sovereign AI applications, where GPU shortages and energy costs hinder progress.[1][2][7] Timing is ideal post-2024 WSE-3 breakthrough, aligning with hyperscaler needs and national priorities—e.g., "Cerebras for Nations" accelerates sovereign AI globally.[7] Market forces like rising inference workloads (e.g., LLMs) favor its 30x+ speed edge over ChatGPT-like models, influencing the ecosystem via partnerships (national labs for stockpile stewardship, pharma for drug discovery) and open initiatives promoting ethical, inclusive AI hardware.[4][5][6]
Cerebras is poised for explosive growth via IPO proceeds funding next-gen processors, manufacturing scale-up, cloud expansion, and acquisitions, solidifying its lead in inference dominance.[3] Trends like sovereign AI, multimodal models, and energy-efficient compute will propel it, especially with datacenter builds across continents.[2][7] Its influence may evolve from hardware pioneer to ecosystem orchestrator, powering national AI strategies and collaborative research while upholding ethical standards—accelerating the AI revolution started with that improbable 2015 wafer-scale vision.[2][4]
Cerebras Systems has raised $1.3B across 6 funding rounds. Most recently, it raised $1.0B Series H in February 2026 at a valuation of approximately $230.0M.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Feb 4, 2026 | $1.0B Series H | Atreides Management, Fidelity, Tiger Global Management | 1789 Capital, Alpha Wave Global, Altimeter Capital, AMD, Benchmark, Coatue, Valor Equity Partners |
| Nov 1, 2018 | $81.0M Series D | Eclipse Ventures | |
| Jun 1, 2017 | $65.0M Series C | Eclipse Ventures | |
| Jan 1, 2017 | $25.0M Series B | Eclipse Ventures | |
| Dec 1, 2016 | $60.0M Series C | Accel, Cota Capital, Factor Capital, FPV Fund, IVP, Long Journey Ventures, Matrix, PS Investments, ThirdLove, UpHonest Capital, Y Combinator, Joshua Schachter, Scott Banister, Tikhon Bernstam | |
| May 1, 2016 | $27.0M Series A | Eclipse Ventures |