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Have one to sell?
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
A brand-new, unused, unopened, undamaged item in its original packaging (where packaging is applicable). Packaging should be the same as what is found in a retail store, unless the item was packaged by the manufacturer in non-retail packaging, such as an unprinted box or plastic bag. See the seller's listing for full details.
5 available
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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
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:167577727475
Item specifics
- Condition
- 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
Seller feedback (64)
- l***2 (51)- Feedback left by buyer.Past monthVerified purchaseGood condition, excellent value.
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- a***7 (154)- Feedback left by buyer.Past 6 monthsVerified purchaseExcellent service excellent quality excellent product perfect thanks Adrian DaviesMini Excavator 1.2 Ton Hydraulic Tracked Crawler EPA Gas 5 Feet Digging Depth (#166769761694)