
VRAMGlass
ModelVRAM
slopsome.com
Runyard.dev
RunMyLLM
Hexmobius LocalAI
localLLMrig
Hardware-first ranking of local LLMs. Tell us your machine, get every model that fits — ranked by real benchmarks (LiveBench, Aider, Arena), with the math shown.
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| Website | whatllmcanirun.com | appcreator24.com |
| Company | 2026 | — |
| Listed in | — |
In their own words, as submitted to SaaSHub.

What LLM Can I Run is a hardware-first ranker for local large language models. The premise: most LLM "reviews" tell you which model is smartest in absolute terms, then you discover it needs 80 GB of VRAM you don't have. We flip the question — tell us your GPU, and we'll rank only the models that...
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Find the right GPU for local LLMs. Compare VRAM, GPU prices and model memory requirements to choose hardware that fits your models and budget.
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Free LLM VRAM calculator: estimate GPU memory for local LLMs (weights, KV cache, overhead), checked against 19 public llama.cpp/vLLM logs with a 1.2% median error.
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Search engine for LLM & GPU stats — compare local open-weight and API models and the GPUs that run them. See what fits your rig, how fast, and at what cost. Community reviews, real tokens/sec and a live VRAM fit-calculator.
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Hardware-aware AI model discovery. Enter your GPU and VRAM — instantly see every LLM that fits, ranked by speed and quality.
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Pick your GPU or Apple Silicon chip and see which open-weight LLMs fit — with a recommended model per job (coding, reasoning, vision, agents, speed), quantised weight sizes, KV cache at your context length, estimated tokens per second.
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Pick local LLMs that actually fit and run on your hardware: memory-fit, practical context and measured tokens/s, every number linked to its source.
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