Install OS for Jetson Orin Nano 8GB Developer Kit SSD NVMe 2TB

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READY STOCK, SILAHKAN LANGSUNG ORDER
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INSTALL OS JetPack 6.2.1 for Jetson Orin Nano 8GB Developer Kit - SUPER MODE

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Username : jetson
Password : jetson
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SSD NVMe Capacity : 2TB
Brand : BR atau sesuai ketersediaan stock

Note :
Sekitar 9% dari kapasitas digunakan untuk keperluan sistem internal SSD nya sendiri, sehingga AVAILABLE capacity nya ada dibawahnya.

Useable Size : ±1.83TB
OS Partition : ±323.4TB
----bootfs : ±1.4GB
----APP : ±322GB
DATA Partition : ±1.5TB (Folder SHARED, can be accessed from LAN Network)

SOFTWARE / OS ENVIRONMENT SUMMARY :

System Platform
--JetPack: 6.2.1
--L4T: 36.4.7
--Ubuntu: 22.04.5 LTS
--Kernel: 5.15.148-tegra
--NVIDIA Driver: 540.4.0

AI Compute Stack
--CUDA Toolkit: 12.6
--cuDNN: 9.3
--TensorRT: 10.3
--GPU: NVIDIA Orin (nvgpu)
--CUDA Available: TRUE
--nvcc: Detected and functional
--CUDA Architecture: sm_87

PyTorch Environment
--Torch: 2.5.0a0+872d972e41.nv24.08
--TorchVision: 0.20.1a0+3ac97aa
--TorchAudio: 2.5.1a0+1661daf
--CUDA Support: Enabled
--GPU Detection: Working
--Torch CUDA Acceleration: Operational

OpenCV Environment
--OpenCV Version: 4.10.0
--OpenCV Build Type: Custom CUDA Build
--OpenCV CUDA: ENABLED
--cuDNN Backend: Enabled
--OpenCV Python3 Binding: Working

NVIDIA AI / Multimedia Stack
--TensorRT
--cuDNN
--VPI
--OpenCV CUDA Build
--GStreamer Hardware Acceleration
--Jetson Multimedia API
--Vulkan SC
--NVIDIA Container Toolkit

Camera / Vision Stack
--CSI Camera Detection: Working
--USB Camera Detection: Working
--Argus Pipeline: Working
--OpenCV GStreamer Pipeline: Operational
--GPU Camera Processing: Verified

Workloads Opportunity
--YOLOv8 + TensorRT
--DeepStream
--OpenCV CUDA Pipeline
--Multi-camera AI
--ROS2 / Isaac ROS
--Edge AI Deployment
--Face Recognition
--Robotics Vision
--LLM Inference
--ONNX GPU Inference