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gptkbp:instanceOf
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embedded computing platform
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gptkbp:AI_Performance
|
up to 275 TOPS
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gptkbp:application
|
computer vision
industrial automation
robotics
autonomous machines
AI edge computing
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gptkbp:connectivity
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gptkb:Gigabit_Ethernet
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gptkbp:dimensions
|
100 mm x 87 mm
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gptkbp:family
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gptkb:NVIDIA_Jetson
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gptkbp:features
|
secure boot
cryptographic acceleration
hardware root of trust
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gptkbp:formFactor
|
SOM (System on Module)
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gptkbp:GPU
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gptkb:NVIDIA_Ampere_architecture
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gptkbp:GPU_CUDA_Cores
|
2048
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|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA Jetson AGX Orin
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gptkbp:I/O_interfaces
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gptkb:CAN
gptkb:PCIe_Gen4
gptkb:MIPI_CSI-2
gptkb:UART
gptkb:I2C
gptkb:USB_3.2
gptkb:SPI
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gptkbp:manufacturer
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gptkb:NVIDIA
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gptkbp:memoryBusWidth
|
204.8 GB/s
|
|
gptkbp:operatingSystem
|
gptkb:Linux
|
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gptkbp:powerSource
|
15-60 W
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gptkbp:processor
|
gptkb:Arm_Cortex-A78AE
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gptkbp:RAM
|
32 GB LPDDR5
|
|
gptkbp:releaseYear
|
2022
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gptkbp:storage
|
64 GB eMMC 5.1
|
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gptkbp:storage_expansion
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gptkb:microSD
|
|
gptkbp:successor
|
NVIDIA Jetson AGX Xavier
|
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gptkbp:supported_frameworks
|
gptkb:CUDA
gptkb:TensorFlow
gptkb:TensorRT
gptkb:cuDNN
gptkb:PyTorch
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gptkbp:supports
|
gptkb:NVIDIA_JetPack_SDK
gptkb:DeepStream_SDK
Isaac SDK
NVIDIA Nsight Tools
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gptkbp:Tensor_Cores
|
64
|
|
gptkbp:website
|
https://developer.nvidia.com/embedded/jetson-agx-orin
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|
gptkbp:weight
|
~200 g
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gptkbp:bfsParent
|
gptkb:NVIDIA_Orin
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gptkbp:bfsLayer
|
7
|