Since its launch in 2012, the Raspberry Pi has been a game-changer as a compact, user-friendly, and budget-friendly single-board computer (SBC). Priced affordably, it's perfect for hobbyists, developers, and beginners integrating it into projects.
While models like the Raspberry Pi 3A+ and 3B+ have boosted performance significantly, they still lag behind high-end boards like the NVIDIA Jetson Nano in raw computing power.
Debuting in early 2019, the NVIDIA Jetson Nano quickly became a standout. NVIDIA, a leader in AI and machine learning, first entered this space with the Jetson TX1 in 2015 for drones, robots, and autonomous vehicles. Priced at $599, it was out of reach for most hobbyists—until the Nano changed that.
The Jetson Nano delivers serious AI capabilities with its NVIDIA Maxwell GPU featuring 128 CUDA cores, providing 472 GFLOPS—over 20 times the 21.4 GFLOPS of the Raspberry Pi 3B+. It's powered by a 64-bit quad-core Cortex A57 CPU and 4GB RAM, far surpassing the Pi 3B+'s 1GB, making it ideal for demanding desktop environments and intensive tasks.
For video processing, the Nano shines: it handles 4K encoding, decoding, and display with hardware acceleration. It supports parallel neural networks for multiple video streams—up to eight 1080p streams simultaneously—perfect for multi-camera drones using ML for detection and tracking.
As the comparison chart shows, the Jetson Nano's 472 GFLOPS dwarfs the Pi models' 21.5 GFLOPS max, making it the clear winner for AI workloads.
That said, Raspberry Pi holds its own in other areas. It includes built-in Wi-Fi, unlike the Nano, though its Ethernet tops out at 300Mb/s versus the Nano's Gigabit (1000Mb/s). Connectivity-wise, the Nano's four USB 3.0 ports outpace the Pi's USB 2.0 equivalents.
Ultimately, your choice depends on needs: Jetson Nano for AI power, Raspberry Pi for simplicity and wireless basics.
