NVIDIA Jetson Edge AI.
GPU-accelerated intelligence at the edge.
The gold standard for edge AI and robotics. From the 67 TOPS Orin Nano to the 275 TOPS AGX Orin — unmatched GPU compute at the edge with the full NVIDIA JetPack SDK, CUDA, TensorRT, and Isaac ROS stack.
Three Jetson modules. Every edge workload covered.
From compact sensor inference to multi-camera generative AI — select the right Jetson module for your deployment scale and performance requirements.
Jetson Orin Nano
- GPU 1024-core Ampere
- Memory 8GB LPDDR5
- Power 7W–15W
- Video 2× MIPI CSI
- Storage NVMe M.2
- SDK JetPack 6.x
Jetson Orin NX
- GPU 1536-core Ampere
- Memory 16GB LPDDR5
- Power 10W–25W
- Video 4× MIPI CSI
- Storage NVMe + SATA
- SDK JetPack 6.x
Jetson AGX Orin
- GPU 2048-core Ampere
- Memory 64GB LPDDR5
- Power 15W–60W
- Video 6× MIPI CSI + HDMI
- PCIe Gen4 x8 + x4 lanes
- SDK JetPack 6.x
Why NVIDIA Jetson for edge AI
GPU-Accelerated AI
Full CUDA cores, Tensor Cores, and DLA engines — the same GPU architecture used in data center AI, miniaturised for edge deployment at 7W–60W.
JetPack SDK + Ecosystem
CUDA, cuDNN, TensorRT, DeepStream, Isaac ROS, VPI — the richest AI software stack on any edge platform with 500K+ active developers globally.
Multi-Camera Vision
Hardware ISP + video codec engines process up to 12× 4K camera streams simultaneously. AI inference runs on dedicated DLA/GPU while video pipeline stays unblocked.
Unified Memory Architecture
CPU and GPU share the same memory pool (up to 64GB). Zero-copy data transfer between host and accelerator — eliminates the PCIe bottleneck entirely.
Production-Grade Reliability
Industrial temperature range (-25°C to 80°C), 10+ year availability commitment, hardware security module, and secure boot chain for mission-critical deployment.
Power-Efficient Compute
Dynamic voltage/frequency scaling across 7W–60W power profiles. Run inference-only workloads at minimum power, burst to full GPU for training or complex pipelines.
Where NVIDIA Jetson delivers immediate impact
Robotics & AMRs
Real-time perception, path planning, multi-sensor fusion, and Isaac ROS-based autonomous navigation for industrial AMRs, warehouse robots, and delivery platforms.
Industrial Vision AI
Multi-camera defect detection, assembly verification, and real-time quality control running TensorRT-optimised models at line speed with zero cloud dependency.
Multi-Camera Surveillance
8–12 camera streams per Jetson device with DeepStream-powered real-time analytics — people counting, ANPR, anomaly detection, and forensic search.
Medical & Healthcare AI
On-device medical image analysis, real-time patient monitoring, and surgical navigation with full data sovereignty — HIPAA and DPDP compliant by architecture.
RDP integration for NVIDIA Jetson
Custom Carrier Board Design
India-specific I/O configurations — RS-485, CAN bus, PoE, DIO — on RDP-designed carrier boards validated for NVIDIA Jetson modules. 8–12 week design-to-prototype.
Industrial Enclosure Engineering
IP65 ruggedised enclosures with validated thermal management for 45°C+ ambient conditions. DIN-rail, wall-mount, and VESA options for any deployment scenario.
Make-in-India Certified
GeM-listed, BIS-certified, STQC-tested. Eligible for government procurement under Make-in-India guidelines. Defence and PSU approved for strategic deployments.
Volume Manufacturing (10–10,000)
ISO 9001 certified production facility with ERP-tracked assembly, automated testing, firmware flashing, and burn-in validation. Consistent quality from pilot to volume.
Ready to bring AI to the edge?
Tell us your use case, performance requirements, and deployment scale. We’ll recommend the right platform, configure the right Edge PC, and deliver validated hardware — from pilot to production.