{"id":26569,"date":"2025-06-15T10:00:00","date_gmt":"2025-06-15T08:00:00","guid":{"rendered":"https:\/\/monraspberry.com\/?p=26569"},"modified":"2025-05-28T11:31:50","modified_gmt":"2025-05-28T09:31:50","slug":"raspberry-pi-vs-nvidia-jetson-la-comparativa-definitiva-2025","status":"publish","type":"post","link":"https:\/\/monraspberry.com\/es\/raspberry-pi-vs-nvidia-jetson-le-comparatif-2025-ultime\/","title":{"rendered":"Raspberry Pi vs NVIDIA Jetson: la comparaci\u00f3n definitiva para 2025"},"content":{"rendered":"<p>- Pi 5 \/ Pi 4 \/ Zero 2 W frente a Jetson Nano, Orin Nano Super, Orin NX y AGX Orin -<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. Cuadro comparativo 2025<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tarjeta (a\u00f1o)<\/th><th>CPU<\/th><th>GPU \/ IA<\/th><th>RAM m\u00e1xima<\/th><th>Perf AI<\/th><th>Consumo<\/th><th>Precio 25 mayo<\/th><th>Destacados<\/th><\/tr><\/thead><tbody><tr><td><strong>Raspberry Pi 5<\/strong> (2023)<\/td><td>4 \u00d7 Cortex-A76 a 2,4 GHz<\/td><td>VideoCore VII<\/td><td>16 GB<\/td><td>-<\/td><td>2,4 W en ralent\u00ed \/ 10 W de pico<\/td><td>85 (8 GB)<\/td><td>PCIe, 2 \u00d7 HDMI 4K, gran comunidad<\/td><\/tr><tr><td><strong>Raspberry Pi 4 B<\/strong> (2019)<\/td><td>4 \u00d7 Cortex-A72 1,8 GHz<\/td><td>VideoCore VI<\/td><td>8 GB<\/td><td>-<\/td><td>1 W en ralent\u00ed \/ 6,2 W de pico<\/td><td>55 (4 GB)<\/td><td>HDMI 2.0, USB3, bajo precio<\/td><\/tr><tr><td><strong>Raspberry Pi Zero 2 W<\/strong> (2021)<\/td><td>4 \u00d7 Cortex-A53 1 GHz<\/td><td>VideoCore IV<\/td><td>512 MB<\/td><td>-<\/td><td>0,6 W en ralent\u00ed \/ 3 W en punta <\/td><td>22 \u20ac<\/td><td>Formato de sello de correos (&lt; 1 W)<\/td><\/tr><tr><td><strong>Jetson Nano<\/strong> (2019)<\/td><td>4 \u00d7 Cortex-A57 1,43 GHz<\/td><td>128C Maxwell (0,5 TOPS) <\/td><td>4 GB<\/td><td>0,5 TOPS<\/td><td>Modos de 5-10 W <\/td><td>99 $ dev-kit <\/td><td>Primer premio de IA + CUDA<\/td><\/tr><tr><td><strong>Jetson Orin Nano Super<\/strong> (2024)<\/td><td>6 \u00d7 Cortex-A78AE 1,5 GHz<\/td><td>1024C Amperio + 32 Tensor<\/td><td>8 GB LPDDR5<\/td><td><strong>67 TOPS<\/strong><\/td><td>7-25 W<\/td><td>249 Kit $<\/td><td>IA Generativa, NVMe<\/td><\/tr><tr><td><strong>Jetson Orin NX 16 GB<\/strong> (2023)<\/td><td>8 \u00d7 Cortex-A78AE 2 GHz<\/td><td>1024C Amperio + Tensor<\/td><td>16 GB<\/td><td><strong>157 TOPS<\/strong><\/td><td>10-40 W<\/td><td>399 M\u00f3dulo $<\/td><td>5\u00d7 Xavier NX en el mismo formato<\/td><\/tr><tr><td><strong>Jetson AGX Orin 64 GB<\/strong> (2022)<\/td><td>12 \u00d7 Cortex-A78AE a 2,2 GHz<\/td><td>2048C Amperio + 64 Tensor<\/td><td>64 GB<\/td><td><strong>275 TOPS<\/strong><\/td><td>15-60 W<\/td><td>1 999 $ dev-kit<\/td><td>Rob\u00f3tica y visi\u00f3n multic\u00e1mara<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>*Consumo medido a tarjeta desnuda; la carcasa, las c\u00e1maras o el SSD pueden a\u00f1adir 1-10 W.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. CPU y GPU: potencia bruta<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pi 5<\/strong> es entre 2 y 3 veces m\u00e1s r\u00e1pida que la Pi 4, gracias al A76 a 2,4 GHz y a una GPU Vulkan 1.2 mejorada; ideal para un escritorio ligero, pero sin aceleraci\u00f3n de IA dedicada.<\/li>\n\n\n\n<li><strong>Jetson<\/strong> se est\u00e1 pasando a la arquitectura Ampere: incluso el modesto Orin Nano Super cuenta con 1.024 n\u00facleos CUDA y 32 n\u00facleos Tensor Cores, suficientes para ejecutar Stable Diffusion, LLaVA-7B o un YOLO-v8 en tiempo real.<\/li>\n\n\n\n<li>Le <strong>Cero 2 W<\/strong> sigue siendo 5 veces m\u00e1s r\u00e1pida que la Zero W, pero su GPU VideoCore IV tiene un techo para OpenGL ES 2.0.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">3. AI \/ TOPS: las diferencias aumentan<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Pi<\/th><th>Perf IA * (int8)<\/th><th>Jetson<\/th><th>Perf IA (int8)<\/th><\/tr><\/thead><tbody><tr><td>Pi Zero 2 W<\/td><td>-<\/td><td>Jetson Nano<\/td><td>0,5 TOPS<\/td><\/tr><tr><td>Pi 4 \/ 5<\/td><td>OpenCL \u2248 1 TOPS (CPU + GPU)<\/td><td>Orin Nano Super<\/td><td><strong>67 TOPS<\/strong><\/td><\/tr><tr><td>-<\/td><td>-<\/td><td>Orin NX<\/td><td><strong>157 TOPS<\/strong><\/td><\/tr><tr><td>-<\/td><td>-<\/td><td>AGX Orin<\/td><td><strong>275 TOPS<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>*Pi estima a trav\u00e9s de NNPACK\/Vulkan; sin NPU hardware: la CPU permanece ocupada.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">4. Consumo y refrigeraci\u00f3n<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pi Zero 2 W<\/strong> funciona a 1 W 24\/7, perfecto para IoT alimentado por bater\u00eda.<\/li>\n\n\n\n<li><strong>Pi 5<\/strong> requiere un ventilador oficial: 10 W bajo estr\u00e9s, 2,4 W en la oficina; pero Power Off On Halt baja a 0,9 W.<\/li>\n\n\n\n<li><strong>Jetson Orin Nano Super<\/strong> ofrece tres perfiles nvpmodel (15 W por defecto, 7 W eco, 25 W perf) para permanecer sin ventilador o suministrar 67 TOPS.<\/li>\n\n\n\n<li><strong>AGX Orin<\/strong> requiere una fuente de alimentaci\u00f3n de 20 V \/ 5 A; el gigantesco disipador pasivo soporta 60 W durante la inferencia multiplexada.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">5. Software: Debian vs CUDA \/ TensorRT<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Familia<\/th><th>Sistema operativo oficial 2025<\/th><th>Cadena de herramientas de AI<\/th><th>Puntos clave<\/th><\/tr><\/thead><tbody><tr><td>Raspberry Pi<\/td><td><strong>Raspberry Pi OS Bookworm<\/strong> (n\u00facleo 6.12)<\/td><td>ONNX-Runtime, OpenCL, OpenCV<\/td><td>Asistencia Plug and Play, una comunidad gigantesca<\/td><\/tr><tr><td>NVIDIA Jetson<\/td><td><strong>Jetson Linux 35.4<\/strong> (Ubuntu 22.04 LTS)<\/td><td>CUDA 12, cuDNN 9, TensorRT 10, Triton<\/td><td>Pila IA completa + Docker l4t<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>La Pi arranca en 15 segundos a trav\u00e9s de micro-SD; la Jetson arranca m\u00e1s r\u00e1pido en eMMC pero requiere 9 GB de SDK Manager para flashear CUDA.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">6. Precio\/valor<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>&lt; 100 \u20ac<\/strong> Pi 4 (escritorio delgado, servidores ARMhf) o Jetson Nano si necesitas CUDA de nivel b\u00e1sico.<\/li>\n\n\n\n<li><strong>100-300 \u20ac<\/strong> Pi 5 (proyectos polivalentes) frente a Orin Nano Super para IA en tiempo real.<\/li>\n\n\n\n<li><strong>> 400 \u20ac<\/strong> Orin NX (rob\u00f3tica avanzada) o AGX Orin (multic\u00e1mara, LLM 7-13 B). Ning\u00fan Pi alcanza este nivel TOPS.<\/li>\n<\/ul>\n\n\n\n<p>Las Jetsons incluyen fuente de alimentaci\u00f3n y disipador; la Pi requiere carcasa + SD\/SSD (\u2248 +30\u20ac).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">7. Usos recomendados<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Necesita<\/th><th>La elecci\u00f3n ideal<\/th><th>Por qu\u00e9<\/th><\/tr><\/thead><tbody><tr><td>Estaci\u00f3n meteorol\u00f3gica, sensor LoRa<\/td><td>Pi Zero 2 W<\/td><td>&lt; 1 W, Wi-Fi, GPIO<\/td><\/tr><tr><td>NAS 2,5 GbE + Nextcloud<\/td><td>Pi 5 + NVMe<\/td><td>PCIe nativo, 12 W m\u00e1x.<\/td><\/tr><tr><td>Robot de inteligencia artificial<\/td><td>Jetson Nano<\/td><td>CUDA + c\u00e1mara DIY a 120 $<\/td><\/tr><tr><td>Agente LLM a bordo (Llama-3 8B)<\/td><td>Orin Nano Super<\/td><td>67 TOPS, 8 GB LPDDR5<\/td><\/tr><tr><td>Drone aut\u00f3nomo multisensor<\/td><td>Orin NX<\/td><td>157 TOPS, CSI \u00d76, 40 W pico<\/td><\/tr><tr><td>Cami\u00f3n log\u00edstico \/ AMR<\/td><td>AGX Orin<\/td><td>12 n\u00facleos de CPU, 275 TOPS, Ethernet de 10 Gb<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">8. Resumen de ventajas e inconvenientes<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><\/th><th>Raspberry Pi<\/th><th>NVIDIA Jetson<\/th><\/tr><\/thead><tbody><tr><td><strong>F\u00e1cil para principiantes<\/strong><\/td><td>\u2605\u2605\u2605\u2605\u2605<\/td><td>\u2605\u2605\u2606\u2606\u2606<\/td><\/tr><tr><td><strong>Precios de entrada<\/strong><\/td><td>22-85 \u20ac<\/td><td>99-1 999 $<\/td><\/tr><tr><td><strong>Comunidad de creadores<\/strong><\/td><td>Enorme<\/td><td>M\u00e1s peque\u00f1o<\/td><\/tr><tr><td><strong>API de IA de alto rendimiento<\/strong><\/td><td>Limitado<\/td><td>CUDA, TensorRT<\/td><\/tr><tr><td><strong>Consumo &lt; 10 W<\/strong><\/td><td>S\u00ed (todos los modelos)<\/td><td>Nano y Orin Nano en modo Eco<\/td><\/tr><tr><td><strong>Mantenimiento 10 a\u00f1os<\/strong><\/td><td>S\u00ed (Pi 5 garantizado hasta 2036)<\/td><td>5 a\u00f1os (ciclo Jetson)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusi\u00f3n: \u00bfqu\u00e9 CBS elegir en 2025?<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Proyectos generales, educaci\u00f3n, servidores ligeros<\/strong> \u2192 <strong>Raspberry Pi 5 \/ 4<\/strong> mejor relaci\u00f3n calidad-precio, abundante documentaci\u00f3n.<\/li>\n\n\n\n<li><strong>IoT de consumo ultrabajo<\/strong> \u2192 <strong>Pi Zero 2 W<\/strong> (o Pic\u03bf 2 para metal desnudo).<\/li>\n\n\n\n<li><strong>Visi\u00f3n moderada\/rob\u00f3tica<\/strong> \u2192 <strong>Jetson Nano<\/strong> (0,5 TOPS) si su presupuesto es ajustado pero necesita CUDA.<\/li>\n\n\n\n<li><strong>IA moderna a bordo<\/strong> \u2192 <strong>Jetson Orin Nano Super<\/strong> (67 TOPS): el nuevo \"punto dulce\" 249 $.<\/li>\n\n\n\n<li><strong>Robots avanzados, computaci\u00f3n intensiva en los bordes<\/strong> \u2192 <strong>Jetson Orin NX \/ AGX Orin<\/strong> TOPS masivos, pero con un presupuesto, refrigeraci\u00f3n y PSU a la altura.<\/li>\n<\/ul>\n\n\n\n<p>En resumen, Raspberry Pi domina el mundo maker de consumo, mientras que la gama Jetson reina en la vanguardia de la IA. As\u00ed que tu elecci\u00f3n depender\u00e1 menos del n\u00famero de GPIOs que... del n\u00famero de TOPS que realmente necesite tu aplicaci\u00f3n.<\/p>","protected":false},"excerpt":{"rendered":"<p>Especificaciones, rendimiento de IA, consumo, precio: Pi 5, Pi 4, Zero 2 W frente a Jetson Nano, Orin Nano Super, Orin NX, AGX Orin. \u00bfQu\u00e9 SBC elegir en 2025?<\/p>","protected":false},"author":1,"featured_media":26570,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[301],"tags":[],"class_list":["post-26569","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-produits"],"featured_image_src":{"landsacpe":["https:\/\/monraspberry.com\/wp-content\/uploads\/2025\/05\/Comparatif-nvidia-Raspberry-pi.png",791,445,false],"list":["https:\/\/monraspberry.com\/wp-content\/uploads\/2025\/05\/Comparatif-nvidia-Raspberry-pi.png",463,260,false],"medium":["https:\/\/monraspberry.com\/wp-content\/uploads\/2025\/05\/Comparatif-nvidia-Raspberry-pi-300x169.png",300,169,true],"full":["https:\/\/monraspberry.com\/wp-content\/uploads\/2025\/05\/Comparatif-nvidia-Raspberry-pi.png",1280,720,false]},"jetpack_featured_media_url":"https:\/\/monraspberry.com\/wp-content\/uploads\/2025\/05\/Comparatif-nvidia-Raspberry-pi.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/posts\/26569","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/comments?post=26569"}],"version-history":[{"count":0,"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/posts\/26569\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/media\/26570"}],"wp:attachment":[{"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/media?parent=26569"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/categories?post=26569"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/monraspberry.com\/es\/wp-json\/wp\/v2\/tags?post=26569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}