NVIDIA AI Computing, Jetson Modules, and GPU Sourcing Solutions.
YURUNOX helps engineering and procurement teams connect edge AI, robotics, video, visualization, and data-center workloads with suitable NVIDIA platforms, then review the exact product, configuration, system compatibility, supply condition, quality evidence, and delivery terms.
Build robots, cameras, inspection equipment, and autonomous systems with Jetson modules.
Support enterprise inference, video processing, virtual workloads, and visual computing.
Power professional visualization, CAD, digital twins, rendering, and AI development.
Review platform, memory, cooling, power, host system, software, quantity, and delivery.
Choose the NVIDIA Platform Direction by the System You Need to Build.
The suitable platform depends on inference or training workload, model size, latency, video streams, graphics, memory, power, thermal design, host interfaces, form factor, software, deployment environment, and lifecycle requirements.
Need Embedded AI for Robotics, Vision, or Autonomous Machines?
Review model workload, latency, camera and sensor inputs, memory, power envelope, carrier board, interfaces, mechanical envelope, thermal solution, JetPack release, and production lifecycle.
Need Enterprise Inference, Video, or Virtual GPU Acceleration?
Define concurrent workloads, model size, latency, streams, encoding or decoding, host server, PCIe resources, power, cooling, software stack, virtualization, and deployment scale.
Need Professional Rendering, CAD, Simulation, or Digital Twins?
Review application certification, graphics memory, displays, rendering engines, AI features, host workstation, PCIe slot, chassis clearance, power supply, cooling, and operating environment.
Need High-Performance AI Training, LLM Inference, or HPC?
Define model scale, precision, memory demand, interconnect, host architecture, server qualification, cooling, power, software, clustering, deployment support, and acceptance requirements.
Move From an AI Workload to a Reviewable NVIDIA Product.
Use the platform that matches the compute and deployment requirement, then confirm the exact product, memory configuration, form factor, host compatibility, software, power, thermal design, lifecycle, quantity, and supply condition.
Jetson Orin Nano
Compact edge AI direction for smart cameras, entry robotics, embedded vision, monitoring, and power-conscious inference systems.
View Orin Nano ProductJetson Orin NX
Higher edge AI performance in the compact Orin Nano and NX module form factor for autonomous machines, AMRs, and multi-camera vision.
View Orin NX ProductJetson AGX Orin
Advanced embedded AI for demanding robotics, inspection, medical imaging, autonomous systems, and concurrent sensor workloads.
View AGX Orin ProductsNVIDIA L4
Low-profile enterprise acceleration direction for AI inference, video processing, virtual workstations, graphics, and edge-to-data-center deployments.
View NVIDIA L4NVIDIA L40S
Enterprise data-center GPU direction for generative AI, inference, training, rendering, virtual workstations, and mixed visual-compute workloads.
View NVIDIA L40SNVIDIA H100 NVL
High-end AI and HPC acceleration direction for large-model inference, training, and server infrastructure selected at system level.
View H100 NVL ProductNVIDIA RTX Professional
Professional visualization, CAD, simulation, rendering, digital twins, AI development, and certified workstation application direction.
View RTX 6000 AdaSystem Compatibility
Carrier board, host server, PCIe, power, cooling, software, firmware, mechanical, lifecycle, and integration requirements that surround the GPU or module.
Review a System RequirementFind the NVIDIA Compute Direction That Matches Your Workload.
Choose the deployment and primary workload first. The result provides a starting platform direction and the technical, system, and purchasing information required for a useful RFQ.
Select the Deployment and Primary Workload.
Start with where the system will run and what it must process. The exact platform can then be narrowed by performance, memory, power, cooling, interfaces, software, environment, and lifecycle.
The result is an initial platform direction, not a substitute for system-level engineering and compatibility approval.
NVIDIA Jetson Orin Edge AI Platform
Begin with inference workload, model size, latency, camera or sensor inputs, memory, power envelope, carrier board, interfaces, thermal design, JetPack release, and production lifecycle.
Compare NVIDIA Platform Directions Before Reviewing the Exact Product.
This comparison separates compact embedded AI, advanced edge systems, enterprise inference, professional visualization, mixed AI workloads, and high-end AI infrastructure.
| Platform | Deployment | Primary Direction | System Format | Key Selection Checks | Product |
|---|---|---|---|---|---|
| Jetson Orin Nano | Compact Edge AI | Embedded inference, smart cameras, entry robotics, and vision nodes. | Production module or developer platform | Model workload, memory, power mode, carrier board, camera inputs, JetPack, thermal design, and lifecycle. | View Orin Nano 8GB |
| Jetson Orin NX | Advanced Edge AI | Autonomous machines, AMRs, inspection, and concurrent vision inference. | Compact production module | Performance target, memory, cameras, interfaces, carrier board, power, thermals, software, and mechanical fit. | View Orin NX 16GB |
| Jetson AGX Orin | Highest Jetson Scale | Demanding robotics, autonomous platforms, medical imaging, and multi-sensor AI. | AGX production module | 32GB or 64GB configuration, workload, interfaces, power, thermal solution, carrier, software, and lifecycle. | View AGX Orin 64GB |
| NVIDIA L4 | Enterprise Inference | AI inference, video, graphics, virtual workstations, and compact servers. | Low-profile data-center GPU | Host qualification, PCIe, power, airflow, software, workload mix, virtualization, quantity, and deployment support. | View NVIDIA L4 |
| NVIDIA L40S | Mixed AI & Visual Compute | Generative AI, inference, training, rendering, and virtual workstation workloads. | Data-center GPU | Server support, power, cooling, workload, memory, software, virtualization, scale, and infrastructure readiness. | View NVIDIA L40S |
| RTX 6000 Ada | Professional Workstation | CAD, rendering, simulation, digital twins, AI development, and visualization. | Professional graphics card | Application certification, chassis, PCIe, power supply, displays, cooling, software, and workstation support. | View RTX 6000 Ada |
| NVIDIA H100 NVL | AI Infrastructure & HPC | Large-model inference, training, high-performance computing, and server acceleration. | Server GPU platform | Qualified server, interconnect, power, cooling, software, workload scale, integration, installation, and acceptance plan. | View H100 NVL |
Use this table for initial direction only. Confirm the exact product, memory configuration, form factor, host compatibility, power, cooling, software, lifecycle, accessories, and current NVIDIA documentation before system or purchasing approval.
Support Edge AI, Visual Computing, and Enterprise Acceleration Workloads.
NVIDIA platforms serve different deployment, performance, memory, power, thermal, software, and lifecycle needs. Final selection must be validated against the complete workload and host-system specification.
Autonomous Machines and AMRs
Embedded AI inference, perception, navigation, sensor fusion, multiple cameras, motion planning, edge deployment, and production module selection.
Inspection and Quality Automation
Camera inputs, defect detection, OCR, classification, segmentation, low-latency inference, industrial interfaces, thermal design, and lifecycle planning.
Smart Cameras and Video Analytics
Multi-stream video, edge inference, encoding and decoding, analytics, retail, traffic, safety, enterprise video, and server acceleration.
AI-Assisted Instruments and Imaging
Imaging pipelines, visualization, inference, memory, latency, system integration, long-life deployment, documentation, and controlled change review.
CAD, Rendering, Simulation, and Digital Twins
Professional graphics, certified applications, real-time rendering, large models, displays, workstation integration, AI development, and remote visualization.
Inference, Training, and Compute Infrastructure
Server-qualified acceleration, large-model workloads, mixed AI and graphics, clustering, power, cooling, software, integration, and deployment planning.
Connect the AI Workload to the Complete System Requirement.
A suitable NVIDIA platform is only the start. Before procurement, confirm the exact product, configuration, module or card type, host or carrier compatibility, software, power, cooling, quantity, source condition, evidence, and delivery timing.
Models, latency, cameras, memory, power, carrier, interfaces, thermals, JetPack, mechanics, and lifecycle.
Concurrent pipelines, sensors, memory, carrier, power, cooling, software, connector, production configuration, and quantity.
Host server, PCIe, power, airflow, video and AI workload, virtualization, software, accessories, and deployment scale.
Data-center or workstation format, application support, memory, power, cooling, software, chassis, displays, and workload mix.
Qualified server, interconnect, power, cooling, software, clustering, installation, infrastructure, acceptance, and support.
Search the Exact NVIDIA Product, Then Review the System and Supply.
Use the search field for a product name, SKU, or keyword. Product pages support discovery; current availability, configuration, condition, quantity, evidence, commercial terms, and lead time must be reconfirmed for each RFQ.
Jetson Orin Nano 8GB
Compact production-module direction for edge AI, smart cameras, embedded vision, robotics, and power-conscious inference deployments.
View Jetson Orin Nano 8GB
900-13767-0000-001
Jetson Orin NX 16GB module direction for autonomous machines, industrial inspection, AMRs, and concurrent edge-vision workloads.
View Orin NX 16GB
900-13701-0050-000
Jetson AGX Orin 64GB module direction for demanding robotics, autonomous systems, multi-camera AI, and advanced embedded computing.
View AGX Orin 64GB
900-13701-0040-000
Jetson AGX Orin 32GB module direction for edge AI, robotics, smart transportation, vision analytics, and production integration.
View AGX Orin 32GB
NVIDIA L4 24GB
Enterprise acceleration direction for AI inference, video processing, virtual workstations, graphics, and compact server deployments.
View NVIDIA L4 24GB
NVIDIA L40S 48GB
Data-center GPU direction for generative AI, inference, training, rendering, virtual workstations, and mixed enterprise workloads.
View NVIDIA L40S 48GB
RTX 6000 Ada 48GB
Professional GPU direction for rendering, CAD, simulation, digital twins, visualization, AI development, and certified workstation applications.
View RTX 6000 Ada 48GB
NVIDIA H100 NVL 94GB
High-end AI infrastructure direction for large-model inference, AI training, high-performance computing, and server acceleration.
View NVIDIA H100 NVLCannot find the NVIDIA product or SKU? Send the product name, exact SKU if available, memory configuration, module or card requirement, quantity, deployment, host system, target date, destination, and required evidence.
Confirm the NVIDIA Product, Configuration, and Evidence Before Shipment.
Choosing a platform does not confirm the condition of an actual offer. YURUNOX aligns the quoted NVIDIA module or GPU with the exact SKU, configuration, source basis, quantity, system requirement, commercial terms, and agreed evidence.
Product name, full SKU, memory configuration, module or card format, labels, serial information, packing, quantity, and available traceability.
Carrier board or host server, interfaces, PCIe, power, cooling, mechanical fit, software release, accessories, and deployment environment.
Packaging and label photos, visual condition, serial or marking review, documents, and other suitable checks when available and agreed.
Offered quantity, price basis, validity, lead time, payment, freight, export or destination information, exceptions, and receiving requirements.
Turn a Part-Number Request Into a Reviewable Purchase Decision.
A complete RFQ makes technical, quality, commercial, and delivery expectations visible before the order moves forward.
Production Robot Requires Jetson Orin NX 16GB
The buyer needs the exact production module SKU for an approved carrier-board design and requires configuration, software, supply, evidence, and delivery details before release.
Align the Workload and System
Confirm application, model workload, latency, cameras or sensors, carrier or host, interfaces, memory, power, cooling, software, mechanical fit, and lifecycle.
Confirm the Exact Product
Record the full SKU, module or card type, configuration, quantity, packing, required date, accessories, source basis, condition, and alternate authority.
Agree the Evidence
Define packaging, label, serial, visual-condition, document, and other suitable evidence required for customer review.
Approve Release and Delivery
Review the offer, compatibility responsibilities, evidence, exceptions, commercial terms, shipping documents, carrier handoff, destination, and tracking.
NVIDIA Product and GPU Sourcing FAQ.
Use these answers to prepare a clearer Jetson module, professional GPU, data-center GPU, or system-level sourcing request.
Can YURUNOX source an exact NVIDIA product or SKU?
Send the complete product name and SKU, memory configuration, module or card format, required quantity, target date, destination, host or carrier details, packing preference, and evidence requirements. Availability and terms are confirmed for the actual RFQ.
What information is needed for a Jetson module review?
Provide the application, AI models, performance and latency target, camera or sensor inputs, memory, power mode, carrier board, interfaces, storage, cooling, mechanical envelope, JetPack release, lifecycle, quantity, and deployment environment.
What should be confirmed before buying an NVIDIA GPU?
Confirm the workload, required memory, host server or workstation, PCIe compatibility, chassis space, power supply, cooling and airflow, software and driver requirements, application certification, accessories, deployment scale, and customer integration responsibility.
What happens if the requested NVIDIA product is unavailable?
The review can separate split quantity, revised timing, another configuration, a supported platform direction, or an alternate supply condition. No replacement is treated as approved until the customer completes the required engineering, compatibility, software, and purchasing review.
Can I submit a BOM or project list with several NVIDIA products?
Yes. Include the full product name or SKU, configuration, quantity, target date, destination, deployment, host system, approved alternatives, accessories, and required evidence for each line. The quotation can then show line-specific availability, exceptions, and terms.
What evidence can be requested before shipment?
Depending on the product, offer, packing, quantity, risk, available records, and agreed scope, evidence may include packaging and label photos, serial or marking review, visual-condition records, included-accessory checks, and supporting documents.
Are price and inventory shown on this page current?
No fixed inventory or price is represented by this page. Current quantity, price basis, validity, lead time, source condition, packing, date or lot information, evidence, freight, payment, and exceptions are confirmed for each quotation.
Can YURUNOX support prototype and production quantities?
Send the required quantity and project stage. The available supply, minimum quantity, packing, price basis, inspection options, and delivery terms depend on the exact part and current offer.
Have an NVIDIA Product, BOM, or AI Computing Requirement?
Send the workload, technical constraints, preferred NVIDIA product or SKU, host or carrier platform, configuration, quantity, target date, destination, and evidence requirements for an order-specific review.