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      NVIDIA Jetson Embedded Systems

      • Jetson AGX Orin / Xavier IPC 8F4E1
      • Jetson AGX Orin / Xavier IPC 8F4E1
      • Jetson AGX Orin / Xavier IPC 8F4E1
      • Jetson AGX Orin / Xavier IPC 8F4E1
      • Jetson AGX Orin / Xavier IPC 8F4E1
      • Jetson AGX Orin / Xavier IPC 8F4E1
      Jetson AGX Orin / Xavier IPC 8F4E1Jetson AGX Orin / Xavier IPC 8F4E1Jetson AGX Orin / Xavier IPC 8F4E1Jetson AGX Orin / Xavier IPC 8F4E1Jetson AGX Orin / Xavier IPC 8F4E1Jetson AGX Orin / Xavier IPC 8F4E1

      Jetson AGX Orin / Xavier IPC 8F4E1

      Processor: Jetson AGX XAVIER / Jetson AGX Orin module
      GPU: Nvidia RTX 6000/A6000
      Memory: 32G
      Size: 335mm*257mm*146mm
      Weight: 5500g

      The 8F4E1 IPC delivers AI inference for medical devices. Combining the flexibility of the NVIDIA Jetson AGX Xavier / NVIDIA Jetson AGX Orin embedded Arm® system on a chip (SoC), the performance of the NVIDIA RTX? 6000/A6000 GPU, the 8F4E1 IPC provides an easy-to-use platform for developing software-defined, AI-enabled, real-time, point-of-care medical devices.

      NVIDIA Clara AGX development kit comes with end-to-end reference application for sensor processing management, image reconstruction, AI, and visualization, which can help developers get started quickly and reduce overall development time between. All necessary libraries and components are pre-selected to enable an out-of-the-box software development environment. Every AI reference application utilizes the necessary IO components and drivers to move data and feed it to RTX In the processing pipeline on the 6000/A6000 GPU, a functional test data path setup is provided.

      COMPONENTS
      FUNCTION

      NVIDIA RTX 6000/A6000

      Discrete GPU CPU

      NVIDIA Jetson AGX Xavier/Jetson AGX Orin

      GPU and IO processing
      512 NVME SSD
      Removable storage

      Y-C8

      Develop system board


      Display NVIDIA Jetson Module Discrete GPU
      Module Jetson AGX Xavier 32G Jetson AGX ORIN 32G Jetson AGX ORIN 64G RTX 6000
      AI Performance

      32 TOPS

      200 TOPS

      275 TOPS


      CPU 8-core NVIDIA Carmel Arm® v8.2 64-bit CPU 8MB L2 + 4MB L3

      8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3

      12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3

      CPU Memory 32GB 256-bit LPDDR4 x 136.5GB/s
      32GB 256-bit LPDDR5 204.8 GB/s
      64GB 256-bit LPDDR5 204.8 GB/s

      GPU 512-core NVIDIA Volta GPU with 64 Tensor Cores
      NVIDIA Ampere architecture with 1792 NVIDIA CUDA® cores and 56 tensor cores
      NVIDIA Ampere architecture with 2048 NVIDIA CUDA® cores and 64 tensor cores

      4608-core NVIDIA Turing GPU with 576 Tensor Cores

      USB Type-A

      1 x USB 3.1

      1 x USB 2.0

      2 x USB 3.1
      -
      Micro USB 1 x Type B (OTG)
      Other I/O

      4 x GPIO(3.3V) | 1 x SPI(3.3V) | 2 x I2C(3.3V) | 2 x RS-232

      1 x Debug(UART)

      2 x CAN (with on-board transceiver)

      Networking 2 x 10/100/1000 Ethernet/RJ45
      1x GbE
      1x 10GbE

      Power Supply AC 220 V
      15W - 40W
      15W - 60W

      Temperature -20~+65°C
      Size 335 mm × 257 mm × 146 mm
      Weight 5500 g