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Explore 7 AI Chip Makers entities audited against our 19-year editorial standard. We provide structured data and human-reviewed insights to separate high-authority providers from unverified search results.
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Santa Clara, United States
NVIDIA Corporation (NASDAQ: NVDA) is the worlds largest semiconductor company by market capitalization and the dominant supplier of AI accelerator chips, founded in 1993 and headquartered in Santa Clara, California. Led by founder and CEO Jensen Huang, Nvidia became the first company to reach 4 trillion and 5 trillion market capitalization driven by AI demand. The company manufactures the H100, H200, B100, and B200 GPUs, the GB200 NVL72 system for AI training, the Spectrum and Quantum networking switches, and the CUDA software platform powering the AI industry. Nvidia chips power virtually every major AI laboratory including OpenAI, Anthropic, Google, Meta, Microsoft, and xAIs Colossus supercomputer.
SambaNova Systems is an AI chip and full-stack AI platform company, founded and headquartered in Palo Alto, California. Founded by Stanford professor Rodrigo Liang, Kunle Olukotun, and Christopher Re, SambaNova manufactures the SN40L Reconfigurable Dataflow Unit (RDU) chip designed for both AI training and inference of large language models including 1 trillion+ parameter models. The company offers SambaNova Cloud for AI inference, the DataScale system for on-premise AI deployment, and SambaNova Suite for enterprise generative AI. Customers include the US Department of Energy, Argonne National Laboratory, Saudi Aramco, and major financial services firms. SambaNova has raised over 1.1 billion in funding at a 5 billion valuation.
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Secure Your $249.95 Permanent ListingEtched is an AI chip startup specializing in transformer-specific ASIC chips designed exclusively for running transformer-based AI models, founded and headquartered in San Francisco, California. Founded by Gavin Uberti, Chris Zhu, and Robert Wachen as Harvard sophomores, Etched manufactures the Sohu chip, the worlds first transformer-specific ASIC delivering an order of magnitude faster inference speeds than Nvidia GPUs for transformer workloads at significantly lower cost. The company has raised 120 million in Series A funding from Primary Venture Partners, Two Sigma Ventures, Hummingbird, Fundomo, and other investors with strong demand from AI inference customers seeking specialized silicon for production transformer model deployment.