Local LLM Acceleration, Framework Comparisons, & Ollama Observability

Dev.to AI
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Local LLM Acceleration, Framework Comparisons, & Ollama Observability Today's Highlights Today's highlights include a new GGUF speculative decoding implementation for 2x Qwen throughput on consumer GPUs, a vital comparison of TensorRT-LLM vs. llama.cpp for RTX 5090 users, and a free self-hosted tool for monitoring local Ollama deployments. These updates focus on optimizing performance, choosing the right frameworks, and gaining insights into self-hosted AI environments. Luce DFlash: Qwen3.6-27B at up to 2x throughput on a single RTX 3090 (r/LocalLLaMA.