Connect with us

Hi, what are you looking for?

AI Technology

SpacemiT Secures $86M for Next-Gen RISC-V AI Chips to Boost Edge Computing

SpacemiT secures $86M in Series B funding to enhance its RISC-V K3 AI chips, targeting rapid growth in Edge AI applications and robotics.

China’s SpacemiT has secured over 600 million yuan (approximately $86.1 million) in a Series B funding round aimed at enhancing its capabilities in the development of computing chips. The Hangzhou-based startup plans to introduce its latest RISC-V K3 chips, which will focus on powering artificial intelligence (AI)-enabled devices and robotics.

The funding was sourced from various state-backed investors, including the China Internet Investment Fund (CIIF), the Beijing Artificial Intelligence Industry Investment Fund, and a venture capital platform under the Beijing State-Owned Capital Operation and Management Company Limited. Other contributors included the asset investment unit of the Agricultural Bank of China, Huaxia Hengtian, private equity firm Forebright Capital, and existing shareholders, according to a statement released by SpacemiT on Thursday, January 15.

This new influx of capital will facilitate SpacemiT’s plans to advance the computing power of its next-generation RISC-V AI chips. The company aims to cater to a range of applications, from AI-enabled computers to robotics, while also strengthening its talent pool to meet the anticipated rise in demand driven by AI technologies.

Founded in November 2021, SpacemiT focuses primarily on developing next-generation RISC-V high-performance central processing units (CPUs) and integrated hardware and software optimization solutions. The startup is positioned to capitalize on the increasing importance of Edge AI, which allows AI processing to occur directly on local devices, enhancing privacy, reducing bandwidth usage, and facilitating real-time analysis and quicker decision-making.

SpacemiT’s chips are specifically designed to support large language models (LLMs) and are based on the RISC-V open-standard Instruction Set Architecture (ISA). This architecture provides a flexible and customizable foundation essential for building efficient processors tailored for Edge AI applications. The growing prominence of Edge AI positions SpacemiT favorably in a market that demands immediate processing capabilities across various devices, from smartphones to industrial sensors.

The company is currently working on its latest RISC-V AI CPU, the K3, which is slated to commence mass production in April this year. This follows the successful tape-out process completed last year, a critical phase where the finalized chip design is sent to a foundry for manufacturing. SpacemiT’s founder and CEO, Chen Zhijian, confirmed these developments in an interview with the South China Morning Post.

Since launching its first octa-core 64-bit RISC-V AI chip, the K1, in 2024, SpacemiT has reportedly shipped over 150,000 units, with applications spanning open-source hardware, AI-enabled devices, and robotics. As such, the company is poised to play a significant role in the burgeoning sector of AI technology, with its advancements not only enhancing computational power but also potentially transforming the landscape of AI applications.

As AI technology continues to evolve, the demand for efficient processing solutions remains high. SpacemiT’s strategic focus on RISC-V architecture and Edge AI could position it as a key player in the rapidly expanding AI market. The company’s efforts to bolster its research and development capabilities through new funding may further enhance its competitive advantage, allowing it to meet the needs of an industry that is increasingly reliant on sophisticated computational power.

See also
Staff
Written By

The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

You May Also Like

AI Finance

UK Millennials increasingly embrace AICC's AI for Autonomous Finance, with 54% ready to trust AI for real-time money management amid rising living costs.

AI Education

AI is revolutionizing education as schools adopt personalized tutoring systems, improving learning outcomes and reducing administrative tasks through automation.

AI Generative

Interview Kickstart launches an eight-week Advanced Generative AI course for engineers, equipping them with crucial skills in LLMs and diffusion models.

Top Stories

Microsoft launches its "Community-First AI Infrastructure" to curb rising electricity costs, pledging a 267% commitment to local community welfare amid AI growth challenges

AI Marketing

Google unveils its Universal Commerce Protocol for AI-driven shopping, aiming to redefine e-commerce while igniting debates on personalized pricing practices.

Top Stories

Demis Hassabis warns that China's rapid advancements in generative AI threaten global competitors, urging international collaboration for ethical standards and safety.

AI Generative

Study highlights critical memory limitations in AI systems, advocating for three new memory paradigms to enhance performance and user trust in autonomous agents.

AI Regulation

AI adoption in life sciences faces a crisis as 95% of projects fail to scale beyond pilot phases, underscoring urgent needs for compliance-driven solutions.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.