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We search the Web for the best refurbished computers. Find out what laptop or desktop suites you the most and what to look fore in recertified computer.
News
We Tested Qwen3.8 27B: How Much GPU and VRAM Do You Really Need?
Qwen3.8 27B is another model in the 27B class that looks particularly interesting for local inference. We wanted to find out what it actually takes to run it on consumer hardware, especially at longer context lengths. This article is based on our own llam
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Muse Glimmer 30B Hardware Requirements and Benchmark Results
Meta's Muse Glimmer 30B has been getting attention in local inference circles, and we wanted to know what it actually takes to run it on your own hardware. This article is not a review of the model's reasoning or coding quality. We are strictly looking at
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Is the 48 GB Mac Mini M4 Pro Good for Local LLMs?
If you want to stay in the Apple ecosystem and need a compact system for running local large language models, the Mac Mini with the M4 Pro and 48 GB of unified memory is currently the lowest configuration that makes practical sense. Apple also offers 24 G
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What hardware you need for MiniMax-M2.7 230B (A10B) in 4-bit
Running MiniMax-M2.7 230B locally requires extreme VRAM, even with 4-bit quantization, and a dual high-end GPU setup is the practical baseline today. This article shows real VRAM usage and performance from a dual RTX Pro 6000 Blackwell system using MXFP4
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What GPU for Running OpenClaw Locally
Running OpenClaw locally is not the same as running a simple chat model. Once you move into agentic workflows with tool calling, long system prompts, and multi-step reasoning, the hardware requirements shift in a very specific way. VRAM becomes the primar
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