The most powerful AI computation cannot thrive without high-speed I/O: PCIe.

The generative AI race is driving an influx of powerful computing chips into the market. A prime example is the latest TPU Tensor Processor powering Google Gemini 3, which currently offers the highest efficiency for LLM training and inference—being faster, more cost-effective, and more energy-efficient.
However, PCIe plays an indispensable bridging role within the TPU system architecture. While high-speed interconnects (such as Google’s proprietary ICI/Mesh Network) handle communication between TPU chips, PCIe is responsible for the crucial link between the TPU chips and the host system. Given the massive computational throughput of TPU chips, the PCIe application must not only deliver high bandwidth but more importantly, ensure low latency and low power consumption. This guarantees smooth data transmission, which is foundational to the high satisfaction levels users experience with content and images generated by Gemini 3.
To maintain their leading and competitive advantage, AI giants and startups are dedicated to developing next-generation ASICs with even greater efficiency, demanding higher data throughput and faster computing speed. Consequently, PCIe transmission speeds must keep pace with contemporary technological trends; indeed, PCIe 6.0 at 64 GB/s is already being adopted in practical applications.
iPasslabs is deeply committed to collaborating with PCI-SIG to ensure the reliability and obtain the most professional and cutting-edge testing technologies. This dedication has earned us the distinction of being a PCIe Authorized Test Lab (PCIe ATL).
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