HAI统一计算平台
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是石科技完成近亿元Pre-A轮融资 BV百度风投领投
Sou Hu Cai Jing· 2025-09-12 06:03
Core Viewpoint - The leading company in the domestic HPC (High-Performance Computing) and AI infrastructure sector, Shishi Technology (Pinghu) Co., Ltd., has completed nearly 100 million yuan in Pre-A round financing, aiming to strengthen its position in the industry and promote intelligent and industrial upgrades across various sectors [1]. Group 1 - The financing round was led by BV Baidu Venture and followed by Yudao Venture Capital, with Gojie Capital serving as the exclusive financial advisor [1]. - The funds raised will primarily be used for the development of the HAI unified computing platform, iterative development of industry expert model services, market expansion, and recruitment of top technical talent [1]. - The company's goal is to consolidate its leading position in the field and empower various industries with intelligent and industrial upgrades [1].
是石科技获BV百度风投领投的近亿元Pre-A轮融资
Xin Lang Cai Jing· 2025-09-12 05:47
Group 1 - The core point of the article is that Shishi Technology has completed nearly 100 million yuan in Pre-A round financing, led by BV Baidu Venture Capital and followed by Yudao Venture Capital [1] - The funds raised in this round will primarily be used for the development of the HAI unified computing platform, iterative development of industry expert model services, market expansion, and recruitment of top technical talent [1]
清华系HPC-AI企业是石科技:以高性能计算赋能大模型时代
Cai Fu Zai Xian· 2025-07-29 09:02
Core Insights - A young Tsinghua University-affiliated startup, Shike Technology, has emerged as a key player in the AI computing landscape, leveraging its strong high-performance computing (HPC) technology to provide efficient and cost-effective computing services to leading AI companies and research teams [1][2]. Group 1: Technology Foundation - The core team of Shike Technology originated from the development of the "Sunway TaihuLight" supercomputer, successfully adapting computational fluid dynamics algorithms for domestic chips, demonstrating the practical capabilities of domestic computing power [2]. - The company focuses on two main objectives: enhancing computational efficiency and reducing costs, having built a unified computing platform that manages over 10,000 PFlops of computing power and developed a scheduling optimization framework that supports heterogeneous CPU/GPU computing [2]. Group 2: Service to AI Models - During the 2023 "Hundred Models War," while many companies rushed to accumulate computing power, Shike Technology opted for technical optimization to meet demand, believing that idle computing power will be an inevitable trend in the future [3]. - The company has helped clients reduce computing costs by over 30% in areas such as video generation and financial risk control through deep optimization of algorithms and hardware adaptation, facilitating rapid model deployment for leading firms [3]. Group 3: Long-term Vision - Shike Technology advocates for a specialized, scenario-based development of computing power, emphasizing that "the more optimized the technology, the less universal it becomes" [4]. - The company has launched industry-specific expert model services covering high-end manufacturing and biomedicine, and collaborates with universities to develop vertical solutions like financial risk warning systems [4]. - Currently, Shike Technology is advancing a new round of financing and plans to release standardized products, showcasing a rational approach to industry enthusiasm and highlighting the foundational role of high-performance computing in the digital economy [4].
狂拿大模型明星订单,一家清华系HPC-AI Infra公司浮出水面
量子位· 2025-07-29 05:05
Core Viewpoint - The article discusses the strategic approach of a technology company, Shi Shi Technology, led by a young founder, Yan Bowen, who has chosen not to hoard computing power despite the industry's trend towards it. Instead, the company focuses on optimizing computing resources and providing tailored services to meet the growing demand for AI computing [1][4][5][16]. Group 1: Company Background and Strategy - Shi Shi Technology was founded in 2021 by Yan Bowen, a PhD from Tsinghua University, and has a team with a strong background in high-performance computing [6][11]. - The company has won the Gordon Bell Prize three times, highlighting its expertise in parallel optimization and high-performance computing [12][11]. - The core business of Shi Shi Technology includes Infrastructure as a Service (IaaS) and expert model services, focusing on parallel computing and optimizing the deployment of algorithms on hardware [20][22]. Group 2: Market Context and Demand - The demand for pre-trained models has surged in 2023, leading to a competitive landscape in AI computing, referred to as the "model war" [2][15]. - The company has established partnerships with major players like Baidu and leading firms in video generation, indicating its strong market position [5][27]. - Shi Shi Technology's revenue from AI computing has surpassed 50%, with a notable increase in large orders, while scientific computing remains a significant part of its business [30][31]. Group 3: Operational Insights - The company manages over 10 intelligent computing centers and two national supercomputing centers, with a total computing power exceeding 10,000 PFlops [24]. - Shi Shi Technology emphasizes the importance of optimizing computing efficiency and reducing costs, which is critical in the rapidly evolving AI landscape [25][30]. - The company has developed a unified computing platform, HAI, which supports various CPU and GPU models and integrates training and inference capabilities [29]. Group 4: Future Outlook and Challenges - The founder believes that the computing industry will evolve from general-purpose computing to scenario-specific computing, which will enhance resource utilization [50]. - Shi Shi Technology aims to balance efficiency, replicability, and rapid customization in its offerings, addressing the industry's challenges [51]. - The company is preparing for a new round of financing and the release of standardized products, indicating its readiness for future growth [53].