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Think Force company logo
ELECTRONICS | Chips & Semiconductors
think-force.com

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Stage

Series A | Alive

Total Raised

$68.07M

Last Raised

$68.07M | 4 yrs ago

About Think Force

Shanghai Think-Force Electronic Technology (上海熠知电子科技有限公司), dba Think Force, is a developer of intelligent semiconductors with AI algorithms and silicon art, upon which the company builds AI hardware platforms and offer turn-key industry solutions.

Think Force Headquarter Location

Shanghai, Shanghai,

China

Latest Think Force News

AI Chip Maker Think Force Wins RMB 450 Mln Series A from Yitu, Yunfeng

Dec 15, 2017

ChinaVenture, 12/14/17 Shanghai-based AI chip maker Think-Force Electronic Technology ("Think Force") recently announced completion of RMB 450 mln in Series A funding from Shanghai-based machine vision technology developer Yitu Network Technology, Alibaba Group (NYSE: BABA) Chairman Jack Ma's Yunfeng Capital, Sequoia Capital, and Beijing-based Hillhouse Capital Management. Established in February this year, Think Force plans to release AI chips based on advanced semiconductor manufacturing processes and the company's own ManyCore microkernel architecture, which offers AI cloud virtualization functions at the chip level to improve computing and scheduling flexibility. The architecture's CPU-like virtualization approach offers cloud computing scheduling flexibility at significantly lower costs. Think Force also combines this technology with its own firmware and TFDL software development kit to offer performance upgrades for many neural network models, including, it claims, improvements of over 500% compared to mainstream NVidia cards in terms of power consumption and cost savings.

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Expert Collections containing Think Force

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Think Force is included in 1 Expert Collection, including Artificial Intelligence.

A

Artificial Intelligence

7,895 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

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