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GAC-backed EVAS Intelligence secures over 100 million yuan in Pre-A+ financing

Gabriella From Gasgoo| November 15 , 2023 15:41 BJT

Beijing (Gasgoo)- Chinese automotive AI computing chip company EVAS Intelligence recently completed its Pre-A+ financing round, raising over 100 million yuan. 

GAC-backed EVAS Intelligence secures over 100 million yuan in Pre-A+ financing

Company logo; photo credit: EVAS Intelligence

The funding was led by Guangzhou Nansha Nanjin Fund, with a subsidiary of OCBC Bank Group participating as well. These funds will primarily facilitate the large-scale production readiness of chip products that have already achieved tape-out and intensify R&D investments in core technologies, products, and software stacks for smart automobiles, robots, and similar edge-side requirements, said EVAS Intelligence.

Founded in January 2022, EVAS Intelligence has garnered investments from various institutions, including GAC Capital, Oriental Fortune Capital, CTC Capital, Yuexiu Industrial Fund, Sunic Capital, Volcanics Venture, Kington Capital, etc., accumulating a financing amount exceeding 100 million US dollars across three rounds.

EVAS Intelligence highlights the paradigm shift in AI foundational algorithm frameworks as AI large models accelerate integration across industries. For instance, within the autonomous driving sector, the BEV algorithm solution based on Transformer has emerged, reconstructing previous AI accelerators tailored to algorithmic data flow patterns.

CEO Liu Hui emphasizes the continuous iteration of AI algorithms in intelligent domains like autonomous driving and robotics, noting the opportunity for a more versatile, programmable, and cost-efficient AI computing architecture termed DSA (also known as non-GPU). 

EVAS Intelligence, adopting a philosophy of software-hardware co-design, has developed its versatile DSA architecture, EVAMIND. Leveraging the fifth-generation RISC-V ISA-based AI DSA, EVAMIND demonstrates performance on par with leading vendors' latest AI processors through its instruction and data parallelism on the core level, according to the company's statements.

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