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Jetson Module Nvidia Jetson Xavier NX 8GB Carrier Board Small AI Supercomputer For Edge Computing

Categories Nvidia Jetson Xavier NX
Brand Name: NVIDIA
Model Number: Xavier NX 8GB(900-83668-0000-000)
Place of Origin: USA
MOQ: 1PCS
Price: USD580-USD600\PCS
Payment Terms: L/C, D/A, D/P, T/T
Supply Ability: 1000pcs
Delivery Time: 15-30 work days
Packaging Details: 20X20X4 cm 1kg
NAME: Jetson Module Nvidia Xavier NX 8GB Carrier Board Small AI Supercomputer For Edge Computing
Keyword: Jetson Module Nvidia Xavier NX 8GB Carrier Board Small AI Supercomputer For Edge Computing
AI Perf: 21 TOPS
Memory: 8GB 128-bit LPDDR4x 59.7GB/s
Camera: Up to 6 cameras (24 via virtual channels) 14 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps)
Networking: 1x GbE
Display: 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
GPU Max Freq: 1100 MHz
DL Accelerator: 2x NVDLA
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Jetson Module Nvidia Jetson Xavier NX 8GB Carrier Board Small AI Supercomputer For Edge Computing

Jetson Module Nvidia Jetson Xavier NX 16GB Carrier Board Small AI Supercomputer For Edge Computing
NVIDIA Jetson Xavier NX Module 8GB(900-83668-0000-000)
Jetson Xavier NX(900-83668-0000-000) brings up to 21 TOPs of accelerated AI computing to the edge in a small form factor module. Jetson Xavier NX is production-ready and supports all popular AI frameworks. and the edge computing is the concept of capturing and processing data as close to its source or end user as possible.
The always-on, instantaneous feedback that edge computing offers is especially critical for applications where human safety is a factor. For example, it’s crucial for self-driving cars, where saving even milliseconds of data processing and response times can be key to avoiding accidents. It’s also critical in hospitals, where doctors rely on accurate, real-time data to treat patients.
While edge computing is particularly important for modern applications such as data science and machine learning, also known as edge AI, it’s not a new concept.
NVIDIA Jetson Xavier NX module(900-83668-0000-000)
AI Perf
21 TOPS
GPU
384-core NVIDIA Volta™ GPU with 48 Tensor Cores
CPU
6-core NVIDIA Carmel ARM® v8.2 64-bit CPU
6MB L2 + 4MB L3
DL Accelerator
2x NVDLA
Memory
8GB 128-bit LPDDR4x 59.7GB/s
Storage
16 GB eMMC 5.1
Other I/O
3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, PWM, DMIC & DSPK, GPIOs
Power
10W | 15W | 20W
Display
2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
Camera
Up to 6 cameras
(24 via virtual channels)
14 lanes MIPI CSI-2
D-PHY 1.2 (up to 30 Gbps)
Safety Cluster Engine
-
Video Encode
2x 4K60 (H.265)
4x 4K30 (H.265)
10x 1080p60 (H.265)
22x 1080p30 (H.265)
Video Decode
2x 8K30 (H.265)
6x 4K60 (H.265)
12x 4K30 (H.265)
22x 1080p60 (H.265)
44x 1080p30 (H.265)


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