Open-source calculator for "will my GPU run this LLM?"
LLM·RAG·VLM·아바타 워크로드를 GPU·CPU·RAM·스토리지·네트워크 구성과 경제형·권장형·확장형 견적 3안으로 변환하는 오픈소스 AI 인프라 산정 도구
Open-source calculator for "will my GPU run this LLM?" launched on August 24, 2026 with 5 votes, #1,809 of 23,274 launches that month and more than 75% of that year's launches.
Does a similar job
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Can your GPU run this LLM?2023 · github.com · ▲15Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization - RahulSChand/gpu_poor
- IMI made a GPU VRAM calculator for transformer-based models2023 · vram.asmirnov.xyz · ▲135
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
Llmspeed – feel how fast a local LLM runs before you buy the hardware5d ago · llmspeed.dev · ▲329Pick hardware and a model, and feel the real speed of a local LLM before you buy. Simulates tokens/sec and time-to-first-token from verified benchmarks for GPUs, Macs, and more.
Getting GLM 5.2 running on my slow computerJul 2026 · github.com · ▲937A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
I've built a locally running Perplexity clone2024 · github.com · ▲669The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)
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