LocalOps
Know Your AI Performance Before You Run It.
LocalOps launched on February 27, 2026 with 1 votes.
What it does
Check if your GPU can run AI models locally. Calculate VRAM requirements, estimate inference speed, and find compatible LLMs, image generators, and more for your hardware.
Instantly check if your GPU can run large language models (LLMs) locally. Covers NVIDIA, AMD, Mac M1/M2/M3 with accurate VRAM and speed estimations.
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Find the best local LLM for your hardware, ranked by benchmarksMay 2026 · github.com · ▲283Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm
- IMI made a GPU VRAM calculator for transformer-based models2023 · vram.asmirnov.xyz · ▲135
General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed

LocalScore – Local LLM Benchmark2025 · localscore.ai · ▲124Hey Folks! I've been building an open source benchmark for measuring local LLM performance on your own hardware. The benchmarking tool is a CLI written on top of Llamafile to allow for portability across different hardware setups and operating systems. The website is a database of results from the benchmark, allowing you to explore the performance of different models and hardware configurations. Please give it a try! Any feedback and contribution is much appreciated. I'd love for this to serve as a helpful resource for the local AI community. For more check out: - Website:…
- CICan I run this LLM? (locally)2025 · can-i-run-this-llm-blue.vercel.app · ▲42
One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that. Update: A lot of great feedback for me to improve the app. Thank you all.
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