
RunMyLLM
slopsome.com
QWQ-Max
Ollama
VRAMGlass
Mistral 7B
AgentGPT
Hardware-aware AI model discovery. Enter your GPU and VRAM — instantly see every LLM that fits, ranked by speed and quality.

VRAMGlass
What LLM Can I Run
RunMyLLM
SelfHostLLM
slopsome.com
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.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | runyard.dev | modelvram.com |
| Pricing | ||
| Company | Startup from India · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Runyard helps you discover AI models that fit your machine. It detects your CPU, GPU, and memory, then recommends models that will run on your hardware or through providers. Browse the Model Radar to compare options, check requirements, and copy ready-to-run commands. Use Anchor API to call...
ModelVRAM is a free GPU memory calculator for running and fine-tuning LLMs locally. Pick a model from Hugging Face, a quantization and a context length, and it splits the total into weights, KV cache and runtime overhead, then lists the GPUs and Macs that fit. Every page includes a ready-to-run...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of ModelVRAM yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Runyard.dev and ModelVRAM.
Runyard.dev's answer
Runyard.dev is the only tool that matches local LLMs to your exact hardware GPU, VRAM and RAM so you know which models will actually run on your machine before you download anything. No guesswork, no trial and error.
Runyard.dev's answer
Developers, researchers, and AI enthusiasts who want to run LLMs locally but don't want to waste time figuring out compatibility. Anyone who's ever downloaded a model only to find it doesn't fit in their VRAM.
Share your experience with using Runyard.dev and ModelVRAM. For example, how are they different and which one is better?
When comparing Runyard.dev and ModelVRAM, you can also consider the following products.
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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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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-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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The easiest way to run large language models locally
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