NVIDIA GeForce RTX 3080 vs NVIDIA Jetson Nano
Side-by-side comparison of features, pricing, ratings, and alternatives.
The GeForce RTX 3080 delivers breakthrough gaming power, enabling smooth 4K frame rates and immersive ray‑traced visuals. Built on NVIDIA’s Ampere architecture, it combines massive CUDA core counts with dedicated RT and Tensor cores for real‑time lighting, AI‑enhanced graphics, and high‑throughput compute. Designed for enthusiasts, creators, and professionals, the RTX 3080 supports advanced features like DLSS 2.0, HDMI 2.1, and PCIe 4.0, making it a versatile solution for gaming rigs, workstations, and AI workloads.
The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads in a small, power-efficient form factor. It brings the power of modern artificial intelligence to edge devices, empowering developers to build autonomous machines and smart devices. Equipped with a 128-core Maxwell GPU and a quad-core ARM CPU, it supports high-resolution sensors and processes multiple neural networks concurrently. Backed by the comprehensive Jetson software stack, it streamlines the development and deployment of advanced robotics and IoT applications.
- Outstanding 4K performance
- Real‑time ray tracing capability
- AI‑driven DLSS boosts frame rates
- Robust cooling and quiet operation
- Affordable entry point for edge AI development
- Comprehensive software stack via JetPack SDK
- Compact form factor with versatile I/O interfaces
- Active developer community with extensive tutorials
- High power consumption (~320 W)
- Requires a strong PSU and adequate case space
- Limited availability can drive up price
- Limited onboard memory compared to higher-end Jetson models
- Discontinued official production affecting long-term availability
- Power supply requirements can be strict under heavy loads
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View all →A powerful credit-card-sized computer designed for makers, educators, and hobbyists.
A single-board computer with a removable system-on-module for edge AI applications.
