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
HARDWARE
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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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Robotic Arms Bringing Empathy and Wellness Through Massage Technology
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When automation finally learns empathy. A glimpse into the future: robotic arms giving a perfect massage. What started as industrial precision might soon redefine well-being. It’s funny and a bit fascinating to see how technology designed for factories finds its way into
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Axelera AI presents AI Vision and LLMs for Industry 4.0
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Lukas Adt & Jonas Kölzer from @AxeleraAI are live at #AI3Connect by @Rutronik today! Catch Lukas’ talk on AI Vision & LLMs with edge efficiency for Industry 4.0. Oct 14–15 | Motorworld Munich https://
eu1.hubs.ly/H0nRqSx0 -
Jensen Delivers DGX Spark: 1 Petaflop in Compact Form Factor
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Thanks Jensen for the hand delivery of DGX Spark. Best delivery service ever. Amazing to see so much compute (1 petaflop!) in such a tiny form factor.
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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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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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Nvidia DGX Spark Benchmarked Against Apple Mac Mini M4 Pro
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Nvidia's DGX Spark goes on sale today and @lmsysorg have done a brilliant bit of benchmarking vs other systems. In short, it is a very usable system for smaller models and closer in performance to Apple's devices (e.g. Mac Mini M4 Pro), but it is priced at $4,000 vs $1,400 for