Jiliu Technology

Headlines · 2

1. 2d
   China's AI compute race shifts to systems engineering, Jiliu says

   InfoQ China published an interview with Chen Wei, an early member of Jiliu Technology, on how the question for domestic AI compute has shifted from simply getting accelerator cards to running them at scale. Once clusters grow from dozens to thousands of cards, the bottlenecks move to operator coverage, collective communication, scheduling and fault localization, and matching interfaces does not mean production-grade performance. Jiliu says its VenusCL communication component can add roughly 2%–6% more MFU even on thousand-card clusters customers had already tuned, and its VenusNOC Megatrace feature located a single faulty GPU in a roughly 3,800-card training cluster. The piece also covers heterogeneous co-working across chips from multiple vendors and generations, plus the trade-offs of ecosystem standardization, with Jiliu estimating that a 2%–6% gain could correspond to over 100 million yuan of existing compute value in one 10,000-card project.

   InfoQ 中文 AI&大模型 · 🔥 0
2. 5d
   Guanghe Ventures' Zhu Jia on investing up the AI stack from terminals to chips

   In an interview with Cyzone, Guanghe Ventures partner Zhu Jia described the firm's hard-tech method of starting from downstream end products and working upstream through the supply chain, citing investments in MetaX, Unitree Robotics, Zhipu AI, Hesai and Innolight. The article says the firm recorded 10 portfolio IPOs in the past 18 months and in April closed more than RMB 5 billion across two dual-currency funds. Zhu summed up his approach as backing the number-one player in any large细分 market, and said the team had already made early bets such as X Square Robot before embodied-AI valuations heated up; he also discussed slower-developing portfolio company Yunmai Xinlian.

   创业邦 科技 · 🔥 0

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