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Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops

Beijing Plink AI Technology Co., Ltd
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    Buy cheap Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops from wholesalers
     
    Buy cheap Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops from wholesalers
    • Buy cheap Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops from wholesalers
    • Buy cheap Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops from wholesalers

    Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops

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    Brand Name : PLink
    Model Number : 7F5
    Price : To be discussed
    Payment Terms : L/C, D/A, D/P, T/T
    Supply Ability : To be discussed
    Delivery Time : 15-30 work days
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    Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops

    NVIDIA Jetson Orin Nano 8G Module 900-13767-0030-000 Rugged Embedded Computer 40 TOPS
    Rugged Embedded Computer Jetson Orin Nano 8G 900-13767-0030-000
    Ampere introduces third-generation NVIDIA Tensor Cores which offer a wider range of precisions including TensorFloat-32 (TF32), bfloat16, FP16, and INT8 all of which provide unmatched versatility and performance. TensorFloat-32 (TF32) is a new format that uses the same 10-bit Mantissa as half-precision (FP16) math and is shown to have more than sufficient margin for the precision requirements of AI workloads. In addition, since the TF32 adopts the same 8-bit exponent as FP32 it can support the same numeric range. Ampere adds support for structured sparsity. Not all the parameters of modern AI networks are needed for accurate predictions and inference, and some can be converted to zeros to make the models “sparse” without compromising accuracy. The Tensor Cores in Ampere can provide up to 2x higher performance for inference of sparse models. Ampere supports Compute Data Compression which can accelerate unstructured sparsity and other compressible data patterns. Compression in L2 provides up to a 4x improvement in DRAM read/write bandwidth, up to 4x improvement in L2 read bandwidth, and up to a 2x improvement in L2 capacity. Ampere also supports many other enhancements for higher compute throughput
    GPU Operation of the NVIDIA Jetson Orin Nano 8G module 900-13767-0030-000
    ModuleCUDA CoresTensor CoresOperating Frequency per Core (up to)
    Jetson Orin Nano 8GB102432625 MHz
    Jetson Orin Nano 4GB51216625 MHz
    NVIDIA Jetson Orin Nano 8GB 900-13767-0030-000 Technical Specification

    AI Performance

    Up to 40 (Sparse) INT8 TOPs and 20 (Dense) INT8 TOPs

    Ampere GPU1024 NVIDIA® CUDA® cores | 32 Tensor cores
    DARM Cortex-A78AE CPUSix-core (ON 8GB and ON 4GB) Cortex A78AE ARMv8.2 (64-bit) heterogeneous multi-processing (HMP) CPU architecture | 2x clusters (1x 4-core cluster + 128 KB L1 + 256KB L2 per core + 2MB L3) + 1x 2- core cluster (128 KB L1 + 256KB L2 per core + 2MB L3) | System Cache: 4 MB (shared across all clusters)
    Peripheral InterfacesxHCI host controller with integrated PHY (up to) 3x USB 3.2, 3x USB 2.0 | 3 x1 (or 1 x2 + 1 x1) + 1 x4 (GEN3) PCIe | 3x UART | 2x SPI | 4x I 2C | 1x CAN | DMIC | DSPK | 2x I2S | 15x GPIOs
    Video DecodeStandards supported: H.265 (HEVC), H.264, VP9, AV1 o 1x4K60 (H.265) o 2x4K30 (H.265) o 5x1080p60 (H.265) o 11x1080p30 (H.265)
    Video Encode1080p30 Supported via CPU Cores with Software
    Memory8 GB 128-bit LPDDR5 DRAM
    Networking10/100/1000 BASE-T Ethernet | Media Access Controller (MAC)
    StorageSupports External Storage (NVMe)

    Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops
    Quality Nvidia Jetson Orin Nano 8g Module Rugged Embedded Computer 900-13767-0030-000 40 Tops for sale
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