https://yourtube.es/videos/watch/d8f01070-c40b-48ba-aba4-2705b5128335 Fuente: YouTube, canal "RepoChad" — https://www.youtube.com/watch?v=h8dxm7UEStQ A Mac Studio with 256GB costs $9,499. An eBay server with eight V100s and 256GB of real GPU memory costs $5,899. The cheap one has an expiry date the seller didn't print. I priced every real way to get 256GB of memory for local AI in October 2026: the Mac Studio M5 Ultra, two NVIDIA DGX Sparks, two AMD Strix Halo mini PCs, RTX 5090 / RTX PRO 5000 / RTX PRO 6000 builds, and old datacenter servers (V100, MI50, P40). Then I ran each one through three clocks the listings never show you: ⏱ Software clock: how long CUDA, ROCm, vLLM and LM Studio keep supporting the chip 🧠 Model clock: how long the models you care about keep fitting in your memory 💰 Money clock: resale value, plus what it costs to run every month Plus: why you never actually get the full 256GB (and the free one-line fix on a Mac), how DeepSeek V4.1 Flash moved the goalposts for every 256GB box on September 10th, and when renting or the API beats buying. Hardware doesn't die when it breaks. It dies when the software stops showing up. ⏰ CHAPTERS 0:00 Two tabs: a $9,499 Mac vs a $5,899 server 1:27 Why the old V100 server looks like the deal of the year 2:22 Why 256GB? The models that fit 3:01 The 3 clocks: software, model, money 3:45 You never get the full 256GB (free fix) 4:41 Mac Studio M5 Ultra 5:57 2x NVIDIA DGX Spark 6:55 2x AMD Strix Halo mini PCs 7:46 RTX 5090 vs RTX PRO 5000 vs RTX PRO 6000 9:16 The expiry date: V100, MI50 and P40 10:43 Price per useful year, not per gigabyte 11:11 September 10th: DeepSeek V4.1 Flash moved 12:35 Buy vs rent vs API: the honest math 14:05 Channel membership 14:18 What I'd actually buy, clock by clock 15:34 Gigabytes per dollar vs years per gigabyte 📌 Prices were captured between late September and October 18, 2026. Memory prices are moving fast, so check current listings before you buy. The "useful years" figures are my own assumptions, not guarantees. Nothing here is sponsored. 💬 Tell me in the comments: what's the oldest card in your setup that still runs your models, and what was the first thing that broke? 🔔 Channel members get priority replies on parts-list questions, plus member-only videos. Hit the Join button under the video. #LocalAI #LocalLLM #MacStudio #DGXSpark #DeepSeek #AIHardware #VRAM RESUMEN El texto compara formas de conseguir 256 GB de memoria para IA y concluye que el precio por gigabyte no basta: importa cuánto tiempo seguirá siendo útil el hardware. El servidor de eBay con 8 V100 cuesta 5899 y es lo más barato, pero CUDA 13, vLLM y LM Studio ya lo abandonan; el Mac Studio (9499) ofrece menos GB baratos pero mayor vida. Puntos clave: La fecha clave es el 10 de septiembre, no solo el precio., RTX 5090: cara y escasa; RTX Pro 5000 y 6000 mejoran coste por GB y rendimiento., Pregunta qué versión de CUDA/ROCm ejecuta y calcula años por gigabyte., Descargar este resumen en texto (TXT): https://yourtube.es/resumenes/h8dxm7UEStQ.txt Wed, 04 Nov 2026 10:17:31 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://yourtube.es https://yourtube.es/client/assets/images/icons/icon-1500x1500.png https://yourtube.es/videos/watch/d8f01070-c40b-48ba-aba4-2705b5128335 All rights reserved, unless otherwise specified in the terms specified at https://yourtube.es/about and potential licenses granted by each content's rightholder.