NVIDIA GeForce RTX 4090
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Headlines · 4
- Reddit user seeks advice on Threadripper PRO 3995WX LLM server
A Reddit user asked whether to buy a used workstation listed in Iraq with an AMD Ryzen Threadripper PRO 3995WX, 224 GB of DDR4-3200 RAM, and an ASUS Pro-series motherboard. The poster wants to evaluate it as a local LLM inference server with four to eight RTX 3090 GPUs, but the configuration, exact motherboard model, price, and upgrade feasibility remain unverified.
r/LocalLLaMA · 🔥 4 - A 24/7 AI News Network Built with Claude Code
Reddit user Icy_Upstairs_7328 reports that Claude Code helped them build PNN, a continuous AI news network running from three computers at home. After 28 days, the creator counted 2,180 commits, roughly 310,000 lines of code and more than 18,000 broadcast news segments, alongside a multiplayer 3D world built with Three.js. The creator says Claude Code also produced source-checking tools, load-testing software and project instructions, while reported AI writing costs were capped at about $12–$14 per day.
r/ClaudeAI · 🔥 0 - Tencent releases Hy-Nomas interactive video world model
Tencent Hunyuan released Hy-Nomas under the Apache-2.0 license, an open-source video world model that generates videos segment by segment and supports multi-turn text instructions, camera trajectories, and persistent context through a KV cache. Its architecture combines a segment-autoregressive diffusion transformer, Qwen2.5-VL-7B-Instruct text encoding, camera-conditioning modules, and a fine-tuned PixelUMM decoder; a separate configuration supports inference on one NVIDIA GeForce RTX 4090 using INT8 weights and CPU offload. Tencent also released Hy-Nomas-Bench with 280 test cases covering free-form interaction, camera navigation, combined text-and-camera control, and spatial memory.
Hugging Face · Papers · 🔥 0 - GPU Unlock Lifts Tensor Core Limits on NVIDIA RTX GPUs
Community projects led by Zagitta’s GPU Unlock modify GPU startup configuration to lift the FP32-accumulate instruction-rate restriction on FP16/BF16 Tensor Core operations in selected NVIDIA GeForce RTX 20-, 30-, and 40-series cards. Tests reported by Tom’s Hardware and 36Kr AI show peak matrix throughput nearly doubling in some cases, while Ampere LLM prefill improved 14–36% but decoding and INT8 performance stayed about the same. Linux implementations are available, while Windows support and coverage across specific card models remain experimental or incomplete.
r/LocalLLaMA · 🔥 0
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