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AI CLUSTERED EVENT · 10/12/2026

Infinigence AI Raises Record $310M Series C for AI Infrastructure: Heterogeneous Compute Scheduling and PD Separation Cut Costs

1 reports archived1 independent sourcesupdated 10/12/2026, 12:08:12
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AI infrastructure firm Infinigence AI has completed a 2.3 billion RMB Series C round, bringing its total funding to 4.3 billion RMB and setting a new record for China's AI-native infrastructure sector. Specializing in the 'middle layer' via an M×N paradigm, the company enables heterogeneous chip mixed training and cross-domain scheduling; its proprietary PDD architecture reduces Time-To-First-Token latency by 51.5% and per-token costs by 37.5%. The company has also confidentially filed for an HKEX IPO, targeting a listing in the first half of 2027.

LATEST/AI infrastructure firm Infinigence AI has completed a 2.3 billion RMB Series C round, bringing its total funding to 4.3 billion RMB and setting a new record for China's AI-native infrastructure sector. Specializing in the 'middle layer' via an M×N paradigm, the company enables heterogeneous chip mixed training and cross-domain scheduling; its proprietary PDD architecture reduces Time-To-First-Token latency by 51.5% and per-token costs by 37.5%. The company has also confidentially filed for an HKEX IPO, targeting a listing in the first half of 2027.

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Total 1 reports · Latest first
  1. IT之家 · 智能时代T2·78 pts
    • Infinigence AI closed a 2.3 billion RMB Series C, totaling 4.3 billion RMB in funding, setting a new record for China's AI infrastructure sector.
    • Core technology focuses on heterogeneous compute scheduling, supporting mixed training across 16 major chips (including Huawei Ascend and NVIDIA) with up to 97.6% utilization.
    • Proprietary Cross-Cluster Heterogeneous PD Separation Architecture (PDD) optimizes inference: reducing TTFT by 51.5% and per-token costs by 37.5%.
    • The company has confidentially filed for an HKEX IPO, aiming for a listing as early as the first half of 2027.