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  1. Zero-Downtime LLM Inference on Kubernetes Spot Instances (~70% GPU Cost Savings) — DEV Community — Machine Learning
  2. Llama vs Qwen vs DeepSeek: How Much VRAM Do You Need to Self-Host? — DEV Community — AI
  3. Your AI models can change. Your memory shouldn't. — DEV Community — AI
  4. Blind listening test: 62 people compared 8-bar piano loops written by 8 LLMs (Gemini, Claude, Qwen, Kimi, Grok, GPT-6.1, DeepSeek, Llama). Interim results — r/artificial
  5. Llama-modchip: 284B DeepSeek on 64GB RAM, no GPU — Hacker News Front Page
  6. CyberTiel35BA3B working on Blender Rigging via MCP. 8GB VRAM, 16GB RAM. llama.cpp. — r/LocalLLaMA
  7. 2026 Guide Explains MoE Routing Strategies From Top-K to Dynamic Routing — MarkTechPost
  8. Llama 3.3 70B vs DeepSeek-V3: Open-Weight Frontier Benchmark, Reasoning Latency, and GPU Economics Showdown — DEV Community — Machine Learning

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