Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware

	Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware(llmspeed.dev)
	322 points by albinstman 8 days ago \| 86 comments
	tl;dr: Llmspeed is a browser-based tool that estimates how fast various local LLMs (Qwen, Llama, GPT-OSS, DeepSeek, Gemma, etc.) will run on specific hardware configurations, from consumer GPUs like the RTX 3090 to Apple Silicon Macs and cloud H100s. Estimates are based on community benchmarks from sources like r/LocalLLaMA and localscore.ai, with projections for untested setups. The project is open source on GitHub.
	HN Discussion: ↓Benchmarks ignore inference engine tuning and optimization knobs that significantly affect real-world performance ↓Software improvements like Strata make static benchmark estimates quickly outdated ↑Tool is useful for making expensive hardware purchase decisions without downloading everything ↓Renting GPU time briefly is a cheaper and more accurate alternative to estimation tools •Questions about whether estimates reflect real-world agentic/workflow usage with larger contexts