Mid-Tier Autonomous Systems
- Light AMRs & Delivery Robots
- Unmanned Aerial Vehicles (UAVs)
Product Code: Jetson-Orin-NX-16GB
NVIDIA Jetson Orin NX 16GB SOM | Ampere Architecture GPU, 8-Core Arm Cortex-A78AE CPU, 16GB LPDDR5, Up to 100 TOPS AI Performance
NVIDIA Jetson Orin NX 16GB SOM | Ampere Architecture GPU, 8-Core Arm Cortex-A78AE CPU, 16GB LPDDR5, Up to 100 TOPS AI Performance
-
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 a high-efficiency embedded AI compute module designed to power entry-to-mid-tier autonomous machinery, smart vision cameras, and edge AI gateways. Powered by the NVIDIA Ampere GPU architecture and a 6-core Arm Cortex-A78AE CPU, it delivers up to 70 TOPS (and up to 117 TOPS in Super Mode) of AI compute within a compact 69.6mm x 45mm SODIMM form factor. Operating across a low-power 10W to 20W profile, the module provides an economical, industrial-grade compute platform for high-density computer vision and edge AI workloads.
ย
Key Features & Business Benefits
-
Ampere GPU Architecture with 70+ TOPS: Features a 1024-core NVIDIA Ampere GPU with 32 3rd-Gen Tensor Cores delivering up to 70 TOPS (up to 117 TOPS in Super Mode) for real-time neural network 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 process control logic, ROS 2 nodes, and application tasks in parallel with GPU workloads.
-
8GB Unified LPDDR5 Memory: Includes a 128-bit memory bus offering high memory bandwidth across a shared pool, eliminating CPU-to-GPU data transfer overheads during multi-stream camera analytics.
-
Dedicated Deep Learning Acceleration: Built-in NVDLA v2.0 engine offloads deep learning inference from the main GPU to maximize overall energy efficiency.
-
Ultra-Compact 260-Pin SODIMM Form Factor: Standardized 69.6mm x 45mm module dimensions enable direct integration into custom OEM carrier boards and compact chassis designs.
-
Configurable Low-Power Envelope (10Wโ20W): Software-configurable operational power profiles (10W, 15W, and 20W TDP) allow deployment in fanless, battery-operated, or thermally constrained systems.
-
Multi-Camera & Peripheral Connectivity: Supports up to 4 direct MIPI CSI-2 camera streams, PCIe Gen 4 lanes, USB 3.2 Gen 2 ports, Gigabit Ethernet, and CAN bus controllers.
-
NVIDIA JetPack Software Support: Compatible with NVIDIA JetPack SDK, Isaac robotics tools, Metropolis vision framework, and CUDA-X acceleration libraries.
ย
Who Is This For?
Autonomous Mobile Robot (AMR) & AGV Developers
For engineering teams designing entry-level AMRs, warehouse automation robots, and agricultural inspect platforms requiring compact AI processing.
Smart Camera & Vision Systems Integrators
For developers building multi-stream video analytics nodes, automated traffic management cameras, and smart retail monitoring devices.
Industrial Automation & Quality Control OEMs
For manufacturers installing compact optical inspection units, robotic guidance modules, and edge AI gateways on factory floors.
Portable & Drone System Builders
For teams engineering light UAVs, wearable edge devices, and field instrumentation requiring high TOPS-per-watt efficiency.
ย
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 transfer plate/heatsink, 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 70โ117 TOPS AI performance at 10Wโ20W. The 16GB variant features 16GB LPDDR5, an 8-core CPU, 2x NVDLA engines, and 100โ157 TOPS AI compute at 10Wโ25W.
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. 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 a high-efficiency embedded AI compute module designed to power entry-to-mid-tier autonomous machinery, smart vision cameras, and edge AI gateways. Powered by the NVIDIA Ampere GPU architecture and a 6-core Arm Cortex-A78AE CPU, it delivers up to 70 TOPS (and up to 117 TOPS in Super Mode) of AI compute within a compact 69.6mm x 45mm SODIMM form factor. Operating across a low-power 10W to 20W profile, the module provides an economical, industrial-grade compute platform for high-density computer vision and edge AI workloads.
ย
Key Features & Business Benefits
-
Ampere GPU Architecture with 70+ TOPS: Features a 1024-core NVIDIA Ampere GPU with 32 3rd-Gen Tensor Cores delivering up to 70 TOPS (up to 117 TOPS in Super Mode) for real-time neural network 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 process control logic, ROS 2 nodes, and application tasks in parallel with GPU workloads.
-
8GB Unified LPDDR5 Memory: Includes a 128-bit memory bus offering high memory bandwidth across a shared pool, eliminating CPU-to-GPU data transfer overheads during multi-stream camera analytics.
-
Dedicated Deep Learning Acceleration: Built-in NVDLA v2.0 engine offloads deep learning inference from the main GPU to maximize overall energy efficiency.
-
Ultra-Compact 260-Pin SODIMM Form Factor: Standardized 69.6mm x 45mm module dimensions enable direct integration into custom OEM carrier boards and compact chassis designs.
-
Configurable Low-Power Envelope (10Wโ20W): Software-configurable operational power profiles (10W, 15W, and 20W TDP) allow deployment in fanless, battery-operated, or thermally constrained systems.
-
Multi-Camera & Peripheral Connectivity: Supports up to 4 direct MIPI CSI-2 camera streams, PCIe Gen 4 lanes, USB 3.2 Gen 2 ports, Gigabit Ethernet, and CAN bus controllers.
-
NVIDIA JetPack Software Support: Compatible with NVIDIA JetPack SDK, Isaac robotics tools, Metropolis vision framework, and CUDA-X acceleration libraries.
ย
Who Is This For?
Autonomous Mobile Robot (AMR) & AGV Developers
For engineering teams designing entry-level AMRs, warehouse automation robots, and agricultural inspect platforms requiring compact AI processing.
Smart Camera & Vision Systems Integrators
For developers building multi-stream video analytics nodes, automated traffic management cameras, and smart retail monitoring devices.
Industrial Automation & Quality Control OEMs
For manufacturers installing compact optical inspection units, robotic guidance modules, and edge AI gateways on factory floors.
Portable & Drone System Builders
For teams engineering light UAVs, wearable edge devices, and field instrumentation requiring high TOPS-per-watt efficiency.
ย
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 transfer plate/heatsink, 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 70โ117 TOPS AI performance at 10Wโ20W. The 16GB variant features 16GB LPDDR5, an 8-core CPU, 2x NVDLA engines, and 100โ157 TOPS AI compute at 10Wโ25W.
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. 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.
