HOLY SH*T. OFFLINE AI IS POSSIBLE? Researchers published a new analog in-memory computing (IMC) architecture in Nature Computational Science, targeting the transformer attention mechanism. Nature Instead of shuffling data between memory and compute (the classic GPU bottleneck),
COMPUTING
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Home AI Server Building Best Practices Guide
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the basic rules i follow when building an AI server at home >direct lanes, x16 or x8, from CPU and never off chipset
>no risers unless absolutely necessary
>airflow must be front-to-back, no hot recirculation
>power budget for transient spikes, not just average draw
>always -
RTX 5090 vs 4x 3090s VRAM comparison for LLM inference
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5090 has 32GB of VRAM, 4x 3090s have 96GB of VRAM when it comes to LLMs inference, we care more about memory as models are better fully offloaded into VRAM than being shared across system RAM and a single RTX 5090's VRAM
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Quantum Computing Superposition Principles Solving Complex Problems
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Quantum computing applies the principle of superposition to process information far beyond the logic of classical systems. Although it still faces challenges with stability and temperature, it already hints at new ways to solve highly complex problems. Microblog by @antgrasso
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AI Infrastructure Investment Opportunities for Builders
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I want to invest in more AI infra companies. If you’re building something exciting, comment below. If interesting, I’ll DM you. Pls, infra only. No app layer etc.
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AI Shift: From Scale to Intent-Driven UX
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the smartest shift right now is this:
AI is moving from brute-force scale → causal, local, context-aware architecture. tiny reasoning models, on-device inference, and intent-driven design are rewriting how we use tech. UX is dissolving. no buttons. no menus. just intent. -
2025’s AI shift: architecture over scale
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everyone’s chasing bigger models. trillion tokens, billion-dollar data centers, rivers of compute. but the real AI story of 2025 isn’t about scale -> it’s about architecture. while openai burns oceans training gpt-5, samsung just dropped a 7-million-parameter reasoning model
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AI latency causes user distraction during query processing
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Those few seconds when your AI is thinking for your query, is more than enough for you to get distracted close to 15 mins…
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FanDuelTV Transforms Live Race Production with 5G and Enterprise AI
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Live race production, rearchitected. With @Verizon Private 5G Network and Enterprise AI, powered by NVIDIA AI Enterprise + Holoscan for Media, @FanDuelTV is cutting wireless latency, simplifying setups, and scaling fast. https://
nvda.ws/3KwGGKQ
