It has an RTX GPU? No thin laptop out there has a NVIDIA GPU
@theahmadosman
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Hardware options for Apple and non-Apple devices
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For Apple hardware you’ve got no other option. For non-Apple hardware you’d be wasting your time.
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Linux, LMStudio, and Exl2/Exl3 for AI Enthusiasts
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Move to Linux and try LMStudio and then Exl2/Exl3
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Criticism of Ollama and recommended alternatives for LLM deployment
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just a gentle reminder that nobody should use ollama > slower than llama.cpp on windows
> slower than mlx on mac
> slop useless wrapper
> literal code thieves alternatives? > lmstudio
> llama.cpp
> exllamav2/v3
> vllm
> sglang
> trt-llm literally anythingʼs better than ollama x.com/stevibe/status… -
DGX Sparks Utilize Custom Linux for Enhanced AI Computing
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Yeah. There’s a reason DGX Sparks are delivered with a pre-installed custom Linux image for example…
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Abstractions hinder performance, bare metal is optimal
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Abstractions are not great for performance Bare metal is the way to go imho
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Warning: Do Not Use Windows for Local LLM Deployments
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I was assuming it’s common knowledge at this point not to use Windows for local LLMs But just in case: DO NOT USE Windows for local LLMs
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Hardware Alone Isn’t Enough: Software Stack is Crucial for Adoption
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It’s wild to me that folks still don’t understand this A piece of hardware doesn’t matter if the software stack isn’t there Good luck waiting 5 years for that Intel GPU to be widely supported Even the Blackwell kernels aren’t mature yet and it’s already widely adopted lol
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Spec Sheet Irrelevance Due to Missing Software
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go buy both and you’ll see how all you’re repeating from the spec sheet doesn’t matter because the software doesn’t exist for it lol