Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
What happened
Llmspeed.dev offers a tool that lets users select hardware and a model to preview the real speed of a local large language model before purchasing equipment. It simulates tokens per second and time-to-first-token using verified benchmarks for GPUs, Macs, and other devices. Users can browse estimates for specific hardware such as the NVIDIA RTX 3090 24GB for short prompts. The benchmark data comes from community sources like r/LocalLLaMA and localscore.ai, with additional numbers derived from similar setups or projected from specifications. The project is open source on GitHub.
Reality check
An automated, sceptical read of the sourceIncremental. The service provides a practical, user-friendly way to estimate LLM performance, but it builds on existing benchmark data and standard simulation techniques.
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