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  • TF7000 Series High Performance Central Processor

    TF7000 is designed for “general purpose computing + AI inference” cloud / edge computing scenario. The processor uses heterogeneous computing and compute-storage coupled architecture to improve performance. It supports all main stream Linux OS and virtualization solution.

    40 / 80 cores ARMv8.2 64bit CPU@2.5~3.0GHz
    Built-in inference NPU with patented ManyCore architecture, 40/80TOPS@INT8
    4x/8x DDR4@3200 / DDR5@4800 channel, support 1DCP/2DCP
    64x/96x lane PCIe 4.0 bus
    64x/128x 1080P@30FPS H.264/H.265 video hardware decoder
    10x/20x 1080P@30FPS H.264/H.265 video hardware encoder
    Up to 4x NUMA interconnection
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  • Single Processor Motherboard

    Standard Micro-ATX / ATX model, easy to fit in standard rack / tower server chassis

    Integrate single TF7000 series central processor
    4x/8x DDR4 RDIMM slots
    Mulitple PCIe 4.0 slots, support GPU and peripherals
    1x M.2 PCIe 4.0 x4 NVMe SSD slot
    Integrate dual GbE data ports
    Integrate server-level BMC chip, single GbE management port with IPMI protocol
    ATX power socket and PMBus for power reading
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  • Customized Server Motherboard

    Customized motherboard design adapted to client's server chassis

    Integrate dual TF7000 series central processors
    16x DDR4 RDIMM slots
    Mulitple PCIe 4.0 slots, support GPU and peripherals
    1x M.2 PCIe 4.0 x4 NVMe SSD slot
    Integrate dual GbE data ports
    Integrate server-level BMC chip, single GbE management port with IPMI protocol
    CRPS redundant PSU sockets
    Get Info
  • TF16000 Series Central Processor

    The series is designed for “general purpose computing + visual analytics” cloud / edge computing scenario. Multiple computing clusters support various AI algorithms running in parallel.

    12/20 cores ARMv8 64bit CPU@1.8~2.4GHz
    Built-in inference NPU with patented ManyCore architecture, up to 12.8TOPS@INT8
    5x LPDDR4X@4266 channel
    8x lane PCIe 3.0 bus
    64x 1080P@25FPS H.264/H.265 video hardware decoder
    RGMII, USB 2.0, UART, SPI, I2C, GPIO
    Get Info
  • Inference Acceleration Module
    NNM100

    The module is designed for scalable deep learning inference computing at cloud. It integrates one of our high performance heterogenous processor TF16110, which supports various AI algorithms under mainstream deep learning frameworks and virtualization. AI computing server clusters can be elasticly built upon this compact computing cell.

    Quad-core ARMv8 64bit CPU@2.4GHz
    4x ManyCoreTM heterogenous computing clusters, 12.8TOPS@INT8
    18GB LPDDR4X-4266 + 64/128GB eMMC Flash
    64x 1080P@25FPS / 16x 4K@25FPS hardware video decoding
    High-speed on board connector with PCIE 3.0 and GbE
    Peak power consumption 25W, operating temperature 0~55°C
    Get Info
  • Inference Acceleration Card
    NNC100

    Integrating the high performance heterogenous processor TF16110, this card is compatible with all kinds of standard scale-out rack servers and can provide application layer service API.

    12.8TOPS@INT8
    18GB LPDDR4X-4266 + 64GB eMMC Flash
    64x 1080P@25FPS /16x 4K@25FPS video decoding
    PCIe 3.0 x8 half height half length single slot card
    Compatible with Windows and Linux host operating system
    Peak power consumption 25W, operating temperature 0~55°C
    Get Info
  • Video Analytics Server
    VAS100

    VAS100 is a dedicated video analytics sever built upon NNM100 modules, providing ultimate video analysis throughput and power efficiency. The server can be flexibly deployed in either data centers or edge computing nodes.

    Standard 19 inch 1U rack server
    Up to 6x built-in NNM100 modules
    2x GbE for data exchange + 1x GbE for management
    Up to 144 HD video streams’ real-time facial recognition
    Support seamless system upgrade and expansion with virtualization
    Dual power hot backup, peak power consumption 200W
    Get Info
  • Edge Analytics Workstation
    EAS50/EAS100

    Integrating the versatile heterogenous processor TF16005, EAS50/EAS100 is designed for mixed workload of transaction processing and deep learning. It has rich peripheral interfaces and strong environment adaptability. Industry customized models are available upon request.

    Quad-core ARMv8 64bit CPU@1.8GHz
    2x ManyCoreTM heterogenous computing clusters, 4.8TOPS@INT8
    10GB LPDDR4X-3200 + 64/128GB Flash
    16x 1080P@25FPS / 4x 4K@25FPS hardware video decoding
    1x GbE, USB2.0/3.0, RS232/RS485, GPIO, HDMI video output
    Peak power consumption 15~25W, operating temperature -20~85°C
    Get Info
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