NVIDIA

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NVIDIA Jetson edge-AI hardware in Manila. Authentic developer kits, modules, and accessories for makers building robotics, computer vision, and on-device generative AI. Power-of-a-workstation in a Raspberry-Pi-sized footprint. Same-day shipping from Quezon City, 4 PM cutoff weekdays. featured kit Jetson Orin Nano Super Developer Kit — 67 TOPS AI performance, 1024-core Ampere GPU with 32 Tensor cores, 6-core Cortex-A78AE CPU, 8 GB LPDDR5 at 102 GB/s. Runs JetPack 6 and Ubuntu 22.04 out of the box. Designed for local LLM inference, multi-camera robotics, and on-device vision pipelines. specs at a glance AI performance up to 67 TOPS (sparse INT8) GPU 1024-core NVIDIA Ampere + 32 Tensor cores CPU 6-core Arm Cortex-A78AE @ 1.7 GHz Memory 8 GB 128-bit LPDDR5 @ 102 GB/s Storage microSD + M.2 Key M (NVMe SSD) Power 7–25 W configurable I/O 4× USB 3.2, GbE, DisplayPort, 40-pin GPIO, MIPI CSI OS JetPack 6 / Ubuntu 22.04 LTS common uses On-device LLMs — run Llama 3 8B, Phi-3, Mistral, and Gemma quantised models locally without cloud round-trip Robotics + ROS 2 — multi-camera SLAM, depth perception, manipulation pipelines Computer vision — YOLOv8 / YOLOv11 at 30+ FPS, multi-stream RTSP analytics Smart camera + retail analytics — people counting, license-plate recognition, queue monitoring Generative AI demos — Stable Diffusion, Whisper STT, edge voice agents Drones + AGVs — visual-inertial odometry, obstacle avoidance, autonomous navigation notes Jetson kits are 5V-tolerant on the 40-pin GPIO but use 3.3V logic — same as Raspberry Pi. Order an NVMe SSD if you plan to run large models — microSD throughput bottlenecks LLM token rates. Active cooling is included on the Super dev kit; the original Orin Nano needs an aftermarket fan. Ships from Manila with same-day cutoff at 4 PM weekdays. FAQ Is this the original Orin Nano or the new Super? This is the Super developer kit — the 2024 firmware-unlocked version with 67 TOPS (vs 40 TOPS on the original) and 102 GB/s memory bandwidth (vs