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T-Head unveils Panmai 920 smartNIC, completing its AI infrastructure chip lineup

Pingtan, a subsidiary of Alibaba, has launched its first intelligent network card, the "Panmai 920," designed to address bottlenecks in AI computing infrastructure. This new network card utilizes advanced PCIe 5.0 and 112G PAM4 Ethernet technology to achieve high throughput and packet processing rates, aiming to significantly improve GPU utilization in large-scale AI clusters. With this release, Pingtan has completed its portfolio of core data center chips, covering computing power, networking, and storage, positioning itself to offer comprehensive AI infrastructure solutions. AI

IMPACT Enhances AI cluster efficiency by optimizing communication paths, potentially lowering costs and accelerating deployment.

RANK_REASON Launch of a new core infrastructure product (intelligent network card) by a major tech player (Alibaba/Pingtan) that aims to improve AI system efficiency.

Read on 雷峰网 (Leiphone) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

T-Head unveils Panmai 920 smartNIC, completing its AI infrastructure chip lineup

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0 / 100
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Significant
Launch of a new core infrastructure product (intelligent network card) by a major tech player (Alibaba/Pingtan) that aims to improve AI system efficiency.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, product, model release
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High
Clearly on-topic for AI-industry coverage.
Story freshness
126 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    Panmai 920 Debuts, Closing the Loop on T-Head's Computing and Storage Network

    <p>“在网络结构未充分优化的情况下,<strong>大规模AI集群的GPU利用率通常仅维持在30%—40%区间。”</strong>平头哥产品总监李旭慧表示。</p><p>算力集群本质上是一个强同步系统:上千张GPU需要在同一时间完成计算并交换数据。一旦某个节点通信出现延迟,整个集群的计算进程就会被迫等待,<strong>系统效率最终由最慢路径决定。</strong></p><p>当集群规模进一步扩展,网络瓶颈被进一步放大:突发推理流量带来的数据洪峰、复杂拓扑导致的链路拥塞,以及依赖系统级PCIe总线所形成的长数据路径,都在不断侵蚀算力效率。</p><…