Tetramem
Electronics · California, United States · 11-50 Employees
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Overview
Headquarters
PO Box 765, South San Francisco, Califor...Phone Number
(858) 242-8181Website
www.tetramem.comRevenue
<$5 MillionIndustry
About Tetramem
Tetramem Org Chart
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Tetramem is experiencing very low activity levels compared to other companies in the Manufacturing sector.
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Tetramem Tech Stack
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Tetramem News & Media
TetraMem Inc and SK hynix Announce Research Partnership
FREMONT, Calif., Nov. 16, 2024 /PRNewswire/ -- Today, TetraMem Inc (www.tetramem.com) & SK hynix Inc (www.skhynix.com) announced that they have signed an SOW outlining their partnership on a joint research project to advance the promise of in-memory computing (IMC) for AI applications....Update: Andes Technology and TetraMem Collaborate to Build Groundbreaking AI Accelerator Chip with Analog In-Memory Computing
San Jose, Aug. 10, 2023 (GLOBE NEWSWIRE) -- Andes Technology, a leading supplier of high-efficiency, low-power 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V International, and TetraMem Inc, a pioneer in analog in-memory computing, are proud to announce a strategic partnership aimed at delivering a fast, highly efficient, AI inference chip that will revolutionize the landscape of artificial intelligence and edge computing.Andes Technology and TetraMem Collaborate to Build Groundbreaking AI Accelerator Chip with Analog In-Memory Computing
San Jose, Aug. 10, 2023 (GLOBE NEWSWIRE) -- Andes Technology, a leading supplier of high-efficiency, low-power 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V International, and TetraMem Inc, a pioneer in analog memristor technology and in-memory computing, are proud to announce a strategic partnership aimed at delivering a fast, highly efficient, AI inference chip that will revolutionize the landscape of artificial intelligence and edge computing.
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Frequently Asked Questions Regarding Tetramem
TetraMem specializes in analog in-memory computing technology designed to enhance edge device performance while significantly reducing power consumption. Their innovative architecture eliminates memory bottlenecks, enabling real-time analytics and ultra-efficient AI capabilities in power-sensitive environments. Targeting teams involved in AI-native... Read More