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10pcs Nvidia Jetson AGXOrin 64GB Developer Kit AI edge computing platform GPU

C $42,918.60
ApproximatelyS$ 39,847.00
or Best Offer
Condition:
New
5 available
Shipping:
Free Canada Post Tracked Packet - International (Non-US).
Located in: Ottawa, Ontario, Canada
Delivery:
Estimated between Fri, 22 Aug and Wed, 17 Sep to 94104
Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the shipping service selected, the seller's shipping history, and other factors. Delivery times may vary, especially during peak periods.
Returns:
No returns accepted.
Coverage:
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Seller assumes all responsibility for this listing.
eBay item number:167577727475

Item specifics

Condition
New: A brand-new, unused, unopened, undamaged item in its original packaging (where packaging is ...
Socket Type
AM62 for the CPU
CPU Series
Nvidia Orin SoC (System-on-Chip)
Compatible CPU Brand
Built In ARM Cortex-A78AE
Number of Memory Slots
no user-accessible memory slots
Input/Output Ports
2 x USB 3.2 Type-A (SuperSpeed), 2 x USB 3.2 Type-C (DP 1.4 for display, the other is for USB), 1 x USB 2.0 Micro-B (for recovery mode), 1 x 10/100/1000BASE-T Ethernet (Gigabit Ethernet), 1 x HDMI 2.1 (supports 4K), 1 x DisplayPort 1.4, 2 x MIPI CSI-2 Camera connectors, 1 x 3.5mm Audio jack (for analog audio output), 1 x PCIe Gen4 x16 (for expansion cards or additional devices), 1 x I2C (for connecting I2C devices), 1 x I2S (for audio interfaces), 1 x UART (for serial communication), 1 x 12V DC input (via barrel jack), 1 x Power GPIO, 1 x 40-pin GPIO header (for further I/O expansion)
CPU Bus Speed
204.8 GB/s
Number of CPU Cores
8
Most Suitable For
AI & Deep Learning, Robotics & Autonomous Systems, Smart Cities & IoT, Industrial & Edge Computing, Healthcare & Medical AI, Retail & AI-Powered Analytics, High-Performance Edge Computing
Memory Type
64GB LPDDR5
Motherboard Brand
NVIDIA
CPU L2 Cache
2 MB
Form Factor
System-on-Module (SoM) with a carrier board
Expansion Slots
1 × PCIe Gen4 x16, M.2 Key M slot (for NVMe SSD storage expansion), M.2 Key E slot (for Wi-Fi/Bluetooth modules)
CPU L3 Cache
4 MB
Model
Jetson AGXOrin 64GB Developer Kit
CPU Clock Speed
up to 2.2 GHz
Features
CPU: 8-core ARM Cortex-A78AE, up to 2.2 GHz, GPU: Nvidia Ampere 2048 CUDA cores, 64 Tensor cores, 2 x Deep Learning Accelerators (DLA) for AI inferencing, 2 x Programmable Vision Accelerators (PVA), RAM: 64GB LPDDR5 (204.8 GB/s memory bandwidth), Storage: 64GB eMMC 5.1 + M.2 Key M slot for NVMe SSD, Up to 275 TOPS AI performance, Supports FP32, FP16, INT8, and INT4 precision for AI models, Nvidia TensorRT and CUDA 11.x support, 2 × USB 3.2 Type-A, 2 × USB 3.2 Type-C, 1 × USB 2.0 Micro-B, 1 × Gigabit Ethernet (10/100/1000BASE-T), PCIe: 1 × PCIe Gen4 x16 slot, 2 x 4-lane MIPI CSI-2 for high-performance cameras, 1 × 3.5mm audio jack, 1 × HDMI 2.1 (supports 4K), 1 × DisplayPort 1.4, Supports Nvidia JetPack SDK (Ubuntu-based), CUDA, cuDNN, TensorRT, DeepStream, and OpenCV, Pre-optimized For TensorFlow, PyTorch, ONNX, and MXNet, Power Modes: Configurable from 15W to 60W, 12V DC input for power, Rugged design for embedded and industrial AI applications, robotics, autonomous machines, medical imaging, smart cities, and AI inference

Item description from the seller

About this seller

yudr3m

100% positive feedback285 items sold

Joined Sep 2017
Usually responds within 24 hours
Welcome to Yudr3m, a versatile Canadian based e-commerce superstore that accommodates all your needs with a dedicated team to answer all your questions.Bienvenue chez Yudr3m, un magasin e-commerce ...
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Seller feedback (64)

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  • l***2 (51)- Feedback left by buyer.
    Past month
    Verified purchase
    Good condition, excellent value.
  • 9***r (23)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    We had some trouble at customs and this seller went above and beyond to help us rectify the issue.
  • a***7 (154)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    Excellent service excellent quality excellent product perfect thanks Adrian Davies