NVIDIA 900-13701-0050-000 | Jetson AGX Orin Module, 64GB, 275 TOPS, 12-Core CPU
SKU:900-13701-0050-000
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Description
Description
Features
Features
NVIDIA Ampere GPU architecture with 2048 CUDA cores and 64 third-generation Tensor cores for advanced AI workloads
- Dual NVDLA v2.0 deep learning accelerators running at 1.6GHz for efficient neural network inference
- 12-core Arm Cortex-A78AE CPU with 64-bit architecture and up to 2.2GHz clock speed
- 64GB high-bandwidth LPDDR5 memory (204.8GB/s) for handling multiple concurrent AI pipelines
- PVA v2.0 programmable vision accelerator for computer vision preprocessing tasks
- Configurable power modes from 15W to 60W for optimized performance-per-watt
- Support for sparse tensor operations to double AI inference throughput
- PCIe Gen4 interface for high-speed peripheral connectivity and NVMe storage expansion
- 10 Gigabit Ethernet with Time-Sensitive Networking (TSN) for low-latency communication
- Multiple MIPI CSI-2 camera interfaces supporting high-resolution multi-camera systems
- Hardware-accelerated video encode/decode engines for multimedia processing
- Secure boot, hardware root of trust, and support for encrypted storage and memory
- Operating temperature range support with passive or active cooling solutions
- Form-factor and pin-compatible with Jetson AGX Xavier for design reuse
Warranty
Warranty
All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.
All technical data should be verified on the manufacturer data sheets.
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Technical Specifications
FAQs
Technical Specifications
AI Performance: Up to 275 TOPS (INT8)
- GPU: 2048-core NVIDIA Ampere architecture with 64 Tensor cores, 1.3GHz max frequency
- CPU: 12-core Arm Cortex-A78AE v8.2 64-bit, up to 2.2GHz (3MB L2 + 6MB L3 cache)
- Memory: 64GB 256-bit LPDDR5, 204.8GB/s bandwidth
- Storage: 64GB eMMC 5.1
- AI Accelerators: 2x NVDLA v2.0 (Deep Learning Accelerator), PVA v2.0 (Vision Accelerator)
- Power Input: 5V, 7V-20V voltage range
- Module Power Consumption: Configurable 15W to 60W
- Form Factor: 100mm x 87mm compact SOM
- Compute Performance: Up to 5.3 TFLOPS FP32, 170 Sparse TOPS INT8
- Interfaces: PCIe Gen4, USB 3.2, 10GbE Ethernet, MIPI CSI camera inputs, NVMe support
FAQs
Q: What applications is the Jetson AGX Orin 64GB Module designed for?
A: The module is designed for advanced robotics, autonomous machines, edge AI, industrial automation, vision AI systems, multi-sensor fusion applications, natural language processing, 3D perception, and real-time AI inference workloads requiring high performance in compact form factors.
Q: What is the difference between the 32GB and 64GB Jetson AGX Orin modules?
A: The 64GB module offers 275 TOPS AI performance with 2048 CUDA cores and 64 Tensor cores at 1.3GHz GPU frequency, while the 32GB version delivers 200 TOPS with 1792 CUDA cores and 56 Tensor cores at 930MHz. The 64GB model also features a 12-core CPU versus 8-core in the 32GB variant, making it better suited for larger, more complex AI models.
Q: Does the module require a carrier board to operate?
A: Yes, the Jetson AGX Orin module is a System-on-Module (SOM) that requires a compatible carrier board to provide I/O connectivity, power delivery, and peripheral interfaces. NVIDIA offers developer kits with integrated carrier boards, and numerous third-party carriers are available for custom deployments.
Q: What software and development tools are supported?
A: The module runs NVIDIA JetPack SDK with Ubuntu-based Linux, CUDA 11.x, TensorRT for AI inference optimization, cuDNN for deep learning, and framework-specific tools including Isaac for robotics, DeepStream for vision AI, Riva for conversational AI, and TAO Toolkit for transfer learning with pretrained models.
Q: Is the module compatible with previous Jetson AGX Xavier designs?
A: Yes, the Jetson AGX Orin module is form-factor and pin-compatible with Jetson AGX Xavier, allowing for drop-in upgrades in existing carrier board designs while delivering over 8X the AI performance of the Xavier platform.
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