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    PowerLeader AI Storage PLStor A9600 Data sheet

    PowerLeader PLStor A9600: new-gen high-performance AI storage for AI, with extreme performance—36 NVMe SSDs, 1105.92TB raw capacity, 160GB/s bandwidth, 4 million IOPS per chassis; up to 32-controller scale-out for 10PB capacity. PowerLeader PLStor A9600 high-performance AI storage: new control-data separated architecture, 32-controller scalable for trillion/ten-trillion parameter multi-modal models. Supports AI-native vectors, tensors, KV Cache; built-in vector search accelerates retrieval, reduces inference "hallucinations"; KV Cache cuts latency, boosts efficiency—one storage for full AI training-inference.

    Functional features
    Extreme performance

    PLStor A9600 new-gen AI storage: DataTurbo engine enables kernel-mode direct storage access/caching, cutting memory usage by 50%, delivering 160GB/s per-chassis bandwidth and over TB-level cluster bandwidth. NDS direct NPU access creates optimal path, bypassing protocols, eliminating copies for 30% performance boost.


    Flexible Scalability

    PLStor A9600 new-gen AI storage: new hardware architecture, starting with 2 controllers, scaling to 36 per cluster (10PB capacity) with high performance/density.

    PLStor A9600 new-gen AI storage meets diverse ecosystems via file, object*, vector protocols, covering full AI workflow (data aggregation, preprocessing, training, inference) with zero data copy to accelerate model iteration.

    PLStor A9600 new-gen AI storage features SmartQuota (file system quota tech), letting admins control storage for directories/users/groups, limiting usage to prevent overoccupation and maximize storage value.


    Intelligent inference

    PLStor A9600 new-gen AI storage: supports new data paradigms (NAS, objects, vectors, graphs) with high-performance multimodal retrieval, excelling in RAG and Unified Cache acceleration. Built-in multimodal knowledge base with leading QPS for efficiency and accuracy.

    Unified Cache offers KV Cache multi-level caching, a PB-level shared pool, flexible allocation—cuts first-token latency by 78%, boosts inference throughput by 60%. Sparse attention enables ultra-large model context windows for accurate, fast, scalable central inference.

    Technical specifications

    Model

    PLStor A9600

    Hardware Architecture

    Disk and controller integration

    Maximum Raw Capacity per Controller Enclosure

    1105.92TB

    Height of Each Controller Enclosure

    2U

    Controllers per Controller Enclosure

    2

    Disks per Controller Enclosure

    36

    Processors per Controller

    Two Kunpeng 920 processors

    Maximum Memory per Controller

    512GB

    Data Disk Type

    Palm NVMe SSD

    Network Type

    25/100 Gb/s TCP/IP

    25/100 Gb/s RoCE

    Key Features

    Quota (SmartQuota), Quality of Service (SmartQoS), inference acceleration (Unified Cache), end-to-end data integrity check (DIF)

    Enclosure Dimensions

    (H x W x D)

    86.1mm x 447mm x 950mm(including the cover)

    Operating Temperature

    –60 m to +1800 m altitude: 5°C to 30°C (cabinet)/35°C (enclosure)

    1800 m to 4000 m altitude: The max. temperature threshold decreases by 1°C for every altitude increase of 220 m

    Operating Humidity

    10%~90%R.H.



    Service and Support

    For more information, please visit https://m.blsto.com/

    Mailing address: 16th Floor, Building B, Block 7, Baoneng Science and Technology Park, No. 1 Qingxiang Road, Longhua New District, Shenzhen

    PowerLeader Computer reserves the right to change product specifications or other product information (including but not limited to product weight, appearance, size or other physical factors) without prior notice; the information mentioned in this document is subject to change due to product upgrades or other reasons, and no further notice will be given. All product images in this document are based on the actual products.

    This material is for reference only and does not constitute a commitment in any form.

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    • PowerLeader AI Storage PLStor A9600 Data sheet

      2025-07-29