IMHO 2x RTX 3090s are still the best entry point because you get exposed to the workings of so many things with enough memory and compute while not breaking the bank
@theahmadosman
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Fallback Kernel Implementation Performance Trade-offs
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You can still run them, it just won't be at the most optimal performance since you'll end up using a fallback kernel implementation
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Own Your LLMs: Buy GPU for Local AI Deployment
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gentle reminder on this beautiful morning: Buy a GPU and own your LLMs not just use them; own them
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NVIDIA DGX Spark Review Coming Soon Hardware Deep Dive
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been asked a lot today about the NVIDIA DGX Spark also getting lots of reactions on this old post of mine about it hoping to get my hands on one soon to review and expand a bit further on what it's good for and what not (plus it's pretty ngl, want 1 on my desk haha) stay tuned
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Tweeting as visibility: speech revealed through digital timelines
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tweeting is just
“speak, so that I may see you”
with the timeline as the eyes -
GPU VRAM and TFLOPs Optimization for AI Performance
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always be VRAM & TFLOPs maxxing anon Buy a GPU
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Scaling AI Infrastructure: 16x Tenstorrent Blackhole GPU Expansion
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waiting on 16x more Tenstorrent Blackhole p150c
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People Control Their Future Through Computing Power
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i want people to control their future Compute is a part of that
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GPU Computing Power Essential for AI Workloads
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“Someday, and that day will come, you’ll be out of VRAM and desperate for compute. And on that day, you’ll remember who told you first to Buy a GPU. The Godfather of TFLOPs was right.”
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Google: From Stanford Crawler to Tech Conglomerate Dominance
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– be us
– Larry & Sergey
– at Stanford with a crawler and a dream
– accidentally organize the entire internet
– call it Google
– build search, email, maps, docs, OS, phones, browser, car, satellite, thermostat, AI lab, TPU farm, and quantum computer – 2025
– everyone talking