14 years. 28,000 sq ft. 100,000+ devices. From desktops to data center — designed, engineered, and manufactured in India.
Why choose RDP14 product categories across compute, AI, and data center. Deployment-ready from our 28,000 sq ft facility.
Download Product CatalogEnd-to-end AI compute under one sovereign umbrella. Designed here. Manufactured here. Supported here.
Talk to a Solutions ArchitectWarranty. SLA. On-site service. Account management. Every commitment documented, every response time defined.
Download SLA CommitmentISO 9001. PLI 2.0. SOP-led manufacturing. The systems behind every device we ship.
Our Story
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.
From compact sensor inference to multi-camera generative AI — select the right Jetson module for your deployment scale and performance requirements.
Full CUDA cores, Tensor Cores, and DLA engines — the same GPU architecture used in data center AI, miniaturised for edge deployment at 7W–60W.
CUDA, cuDNN, TensorRT, DeepStream, Isaac ROS, VPI — the richest AI software stack on any edge platform with 500K+ active developers globally.
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.
CPU and GPU share the same memory pool (up to 64GB). Zero-copy data transfer between host and accelerator — eliminates the PCIe bottleneck entirely.
Industrial temperature range (-25°C to 80°C), 10+ year availability commitment, hardware security module, and secure boot chain for mission-critical deployment.
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.
Real-time perception, path planning, multi-sensor fusion, and Isaac ROS-based autonomous navigation for industrial AMRs, warehouse robots, and delivery platforms.
Multi-camera defect detection, assembly verification, and real-time quality control running TensorRT-optimised models at line speed with zero cloud dependency.
8–12 camera streams per Jetson device with DeepStream-powered real-time analytics — people counting, ANPR, anomaly detection, and forensic search.
On-device medical image analysis, real-time patient monitoring, and surgical navigation with full data sovereignty — HIPAA and DPDP compliant by architecture.
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.
IP65 ruggedised enclosures with validated thermal management for 45°C+ ambient conditions. DIN-rail, wall-mount, and VESA options for any deployment scenario.
GeM-listed, BIS-certified, STQC-tested. Eligible for government procurement under Make-in-India guidelines. Defence and PSU approved for strategic deployments.
ISO 9001 certified production facility with ERP-tracked assembly, automated testing, firmware flashing, and burn-in validation. Consistent quality from pilot to volume.
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.