I ran local AI models on a six-year-old laptop with no GPU, and they actually worked
… Sign in to your XDA account Summary Local AI runs on modest PCs - no RTX needed; efficient small models work on CPU and iGPU. …
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I did the math on local AI vs. Claude Pro, and the winner isn't as straightforward as you think
… Related I ran local AI models on a six-year-old laptop with no GPU, and they actually worked Your old laptop is powerful enough for local AI... if you temper expectations The local AI vs. cloud AI debate will only get more interesting Although GPUs like the RTX 3090 are considered the only way to r… …
Dual-booting Windows and Linux stopped making sense once my hardware got good enough
… I run a Paperless-ngx server on one of my Windows laptops with an Nvidia RTX graphics card. Paperless-ngx doesn't demand too many resources or GPU power, but I combined it with a local LLM and WSL’s GPU pass-through, which helps in this scenario. …
I've been building x86 PCs for more than a decade, but I'm not sure my next computer will be one
… Your next PC might not be x86 Nvidia's RTX Spark could change everything RTX Spark laptops and desktops are coming later this year from companies like Asus, Dell, HP, Lenovo, Microsoft, and MSI. …
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My RTX 5090 can't keep up with Apple Silicon on the biggest local LLMs, and I hate to admit it
… The CPU and GPU can access the same unified memory pool, and local LLM runtimes can use that pool without copying weights across PCIe. On a maxed-out Mac Studio with M3 Ultra , that means up to 512GB the GPU can use directly. …
AMD shipped Nvidia's new AI laptop over a year ago, and the software is finally catching up
… Sign in to your XDA account Following Nvidia's reveal of its RTX Spark laptops, I attended an AMD and HP roundtable at Computex. …
Your PC setup desperately needs these upgrades instead of overpriced components
… When not scouring the web for ideas, he can be found building PCs, watching anime, or playing Smash Karts on his RTX 3080 sigh . …
I put Claude, ChatGPT, and Gemini through the same tasks — only one is worth the subscription
… I got two options for running LLMs: an eGPU on one node with an RTX 3060 or similar inside, or quantized models running on a CPU, suggesting Llama 3.1 8B. …