Mid-Tier Autonomous Systems
- Light AMRs & Delivery Robots
- Unmanned Aerial Vehicles (UAVs)
Product Code: Jetson-Orin-NX-8GB
NVIDIA Jetson Orin NX 8GB SOM | Ampere Architecture GPU, 6-Core Arm Cortex-A78AE CPU, 8GB LPDDR5, Up to 70 TOPS AI Performance
NVIDIA Jetson Orin NX 8GB SOM | Ampere Architecture GPU, 6-Core Arm Cortex-A78AE CPU, 8GB LPDDR5, Up to 70 TOPS AI Performance
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Need volume pricing or a formal corporate quotation?
Primary Use Cases
Professional Workflows And Applications
Edge Vision & Video Analytics
- Smart Retail & Occupancy Tracking
- Multi-Camera Security & Anomaly Detection
Industrial IoT & Automation
- Inline Assembly Quality Inspection
- Predictive Maintenance Systems
Embedded Healthcare Devices
- Portable Ultrasound & Diagnostics
- Point-of-Care Surgical Monitors
NVIDIA Jetson Orin NX 8GB System-on-Module (SOM)
Overview & Value Proposition
The NVIDIA Jetson Orin NX 8GB System-on-Module (SOM) is an entry-to-mid-tier embedded AI compute engine designed to deliver high-density computer vision, real-time sensor processing, and edge AI inferencing. Powered by the NVIDIA Ampere GPU architecture and a 6-core Arm Cortex-A78AE CPU, it provides up to 70 INT8 TOPS (and up to 117 TOPS in software-optimized Super Mode) of AI compute within a compact 69.6mm x 45mm 260-pin SODIMM form factor. Operating across an energy-efficient 10W to 20W power envelope, it offers a cost-effective, high-performance compute platform for autonomous mobile robotics, smart vision systems, and edge AI gateways.
Key Features & Business Benefits
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Ampere Architecture GPU with 70+ TOPS: Features a 1024-core NVIDIA Ampere GPU with 32 3rd-Gen Tensor Cores delivering up to 70 INT8 TOPS (up to 117 TOPS in Super Mode) for low-latency deep learning inference.
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6-Core Arm Cortex-A78AE CPU: Driven by a 64-bit 6-core Arm CPU cluster with 1.5MB L2 and 4MB L3 cache to execute application logic, ROS 2 nodes, and control algorithms.
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8GB Unified LPDDR5 Memory: Features a 128-bit memory subsystem providing 102.4 GB/s bandwidth across a shared unified pool, eliminating CPU-to-GPU memory transfer bottlenecks during multi-stream video processing.
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Hardware Deep Learning Acceleration: Built-in Deep Learning Accelerator (NVDLA v2.0) engine offloads neural network execution from the primary GPU to optimize system-wide energy efficiency.
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Compact 260-Pin SODIMM Form Factor: Standardized 69.6mm x 45mm module dimensions allow seamless integration into custom carrier boards and space-constrained chassis designs.
-
Configurable Power Envelope (10W–20W): Software-configurable operational power profiles (10W, 15W, and 20W TDP) enable deployment in fanless, battery-operated, or thermally constrained enclosures.
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Multi-Camera & Peripheral Connectivity: Native support for up to 4 direct MIPI CSI-2 camera streams (8-lane), PCIe Gen 4 interconnects, USB 3.2 Gen 2, Gigabit Ethernet, and CAN bus controllers.
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Enterprise Software & NVIDIA JetPack SDK: Fully compatible with NVIDIA JetPack SDK, Isaac robotics framework, Metropolis vision platform, and CUDA-X acceleration libraries.
Who Is This For?
Autonomous Mobile Robot (AMR) & AGV Developers
For engineering teams designing entry-level AMRs, warehouse automation vehicles, and agricultural inspection robotics requiring compact AI processing.
Smart Camera & Vision Systems Integrators
For developers building multi-stream video analytics nodes, automated traffic management cameras, and smart retail tracking platforms.
Industrial Automation & Quality Control OEMs
For manufacturers installing compact optical inspection units, robotic guidance modules, and edge AI controllers on factory floors.
Portable & Drone System Builders
For teams engineering light unmanned aerial vehicles (UAVs), wearable edge devices, and field instrumentation requiring high TOPS-per-watt efficiency.
Frequently Asked Questions (FAQ)
Q: Does the NVIDIA Jetson Orin NX 8GB SOM include a carrier board or heat sink?
A: No. The Jetson Orin NX 8GB is a bare System-on-Module (SOM) designed for production integration. It requires a compatible 260-pin carrier board, a thermal solution (heatsink/heat spreader), and external NVMe SSD storage to operate.
Q: How does the Jetson Orin NX 8GB differ from the Jetson Orin NX 16GB model?
A: The Orin NX 8GB includes 8GB LPDDR5 memory, a 6-core CPU, 1x NVDLA engine, and up to 70–117 TOPS AI performance at 10W–20W. The 16GB variant features 16GB LPDDR5, an 8-core CPU, 2x NVDLA engines, and up to 100–157 TOPS AI compute at 10W–25W.
Q: Does the Jetson Orin NX 8GB SOM contain onboard eMMC storage?
A: No. The Jetson Orin NX series does not feature onboard eMMC flash storage. Operating system boot and storage expansion are managed via NVMe SSDs connected through PCIe Gen 4 lanes on the host carrier board.
Q: Is the Orin NX 8GB SOM pin-compatible with Jetson Orin Nano modules?
A: Yes. The Jetson Orin NX 8GB shares the identical 260-pin SODIMM connector layout and form factor as Jetson Orin Nano modules, enabling drop-in performance scaling on a shared carrier board architecture.
Q: Can I request a formal quotation for procurement?
A: Yes, we issue formal quotation documents with complete pricing, tax breakdowns, and payment terms for corporate or institutional procurement processes.
Q: Do you provide GST invoices?
A: Yes, we provide valid GST invoices for all orders. You can enter your GSTIN during checkout or provide it with your order details to claim input tax credit.
Q: Do you deliver across India?
A: Yes, we deliver to pincodes across all states and union territories in India through our logistics partners.
Q: Can I request availability and lead time before ordering?
A: Yes, you can contact us with your product requirements and quantity to confirm current stock availability and estimated delivery timelines before placing your order.
Description
Description
NVIDIA Jetson Orin NX 8GB System-on-Module (SOM)
Overview & Value Proposition
The NVIDIA Jetson Orin NX 8GB System-on-Module (SOM) is an entry-to-mid-tier embedded AI compute engine designed to deliver high-density computer vision, real-time sensor processing, and edge AI inferencing. Powered by the NVIDIA Ampere GPU architecture and a 6-core Arm Cortex-A78AE CPU, it provides up to 70 INT8 TOPS (and up to 117 TOPS in software-optimized Super Mode) of AI compute within a compact 69.6mm x 45mm 260-pin SODIMM form factor. Operating across an energy-efficient 10W to 20W power envelope, it offers a cost-effective, high-performance compute platform for autonomous mobile robotics, smart vision systems, and edge AI gateways.
Key Features & Business Benefits
-
Ampere Architecture GPU with 70+ TOPS: Features a 1024-core NVIDIA Ampere GPU with 32 3rd-Gen Tensor Cores delivering up to 70 INT8 TOPS (up to 117 TOPS in Super Mode) for low-latency deep learning inference.
-
6-Core Arm Cortex-A78AE CPU: Driven by a 64-bit 6-core Arm CPU cluster with 1.5MB L2 and 4MB L3 cache to execute application logic, ROS 2 nodes, and control algorithms.
-
8GB Unified LPDDR5 Memory: Features a 128-bit memory subsystem providing 102.4 GB/s bandwidth across a shared unified pool, eliminating CPU-to-GPU memory transfer bottlenecks during multi-stream video processing.
-
Hardware Deep Learning Acceleration: Built-in Deep Learning Accelerator (NVDLA v2.0) engine offloads neural network execution from the primary GPU to optimize system-wide energy efficiency.
-
Compact 260-Pin SODIMM Form Factor: Standardized 69.6mm x 45mm module dimensions allow seamless integration into custom carrier boards and space-constrained chassis designs.
-
Configurable Power Envelope (10W–20W): Software-configurable operational power profiles (10W, 15W, and 20W TDP) enable deployment in fanless, battery-operated, or thermally constrained enclosures.
-
Multi-Camera & Peripheral Connectivity: Native support for up to 4 direct MIPI CSI-2 camera streams (8-lane), PCIe Gen 4 interconnects, USB 3.2 Gen 2, Gigabit Ethernet, and CAN bus controllers.
-
Enterprise Software & NVIDIA JetPack SDK: Fully compatible with NVIDIA JetPack SDK, Isaac robotics framework, Metropolis vision platform, and CUDA-X acceleration libraries.
Who Is This For?
Autonomous Mobile Robot (AMR) & AGV Developers
For engineering teams designing entry-level AMRs, warehouse automation vehicles, and agricultural inspection robotics requiring compact AI processing.
Smart Camera & Vision Systems Integrators
For developers building multi-stream video analytics nodes, automated traffic management cameras, and smart retail tracking platforms.
Industrial Automation & Quality Control OEMs
For manufacturers installing compact optical inspection units, robotic guidance modules, and edge AI controllers on factory floors.
Portable & Drone System Builders
For teams engineering light unmanned aerial vehicles (UAVs), wearable edge devices, and field instrumentation requiring high TOPS-per-watt efficiency.
Frequently Asked Questions (FAQ)
Q: Does the NVIDIA Jetson Orin NX 8GB SOM include a carrier board or heat sink?
A: No. The Jetson Orin NX 8GB is a bare System-on-Module (SOM) designed for production integration. It requires a compatible 260-pin carrier board, a thermal solution (heatsink/heat spreader), and external NVMe SSD storage to operate.
Q: How does the Jetson Orin NX 8GB differ from the Jetson Orin NX 16GB model?
A: The Orin NX 8GB includes 8GB LPDDR5 memory, a 6-core CPU, 1x NVDLA engine, and up to 70–117 TOPS AI performance at 10W–20W. The 16GB variant features 16GB LPDDR5, an 8-core CPU, 2x NVDLA engines, and up to 100–157 TOPS AI compute at 10W–25W.
Q: Does the Jetson Orin NX 8GB SOM contain onboard eMMC storage?
A: No. The Jetson Orin NX series does not feature onboard eMMC flash storage. Operating system boot and storage expansion are managed via NVMe SSDs connected through PCIe Gen 4 lanes on the host carrier board.
Q: Is the Orin NX 8GB SOM pin-compatible with Jetson Orin Nano modules?
A: Yes. The Jetson Orin NX 8GB shares the identical 260-pin SODIMM connector layout and form factor as Jetson Orin Nano modules, enabling drop-in performance scaling on a shared carrier board architecture.
Q: Can I request a formal quotation for procurement?
A: Yes, we issue formal quotation documents with complete pricing, tax breakdowns, and payment terms for corporate or institutional procurement processes.
Q: Do you provide GST invoices?
A: Yes, we provide valid GST invoices for all orders. You can enter your GSTIN during checkout or provide it with your order details to claim input tax credit.
Q: Do you deliver across India?
A: Yes, we deliver to pincodes across all states and union territories in India through our logistics partners.
Q: Can I request availability and lead time before ordering?
A: Yes, you can contact us with your product requirements and quantity to confirm current stock availability and estimated delivery timelines before placing your order.
