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

React Admin Dashboard Template with Java Backend

Website, pricing, platforms and company facts side by side.
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| Website | runyard.dev | flatlogic.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...
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As answered by people managing Runyard.dev and Sing App React Java.
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 Sing App React Java. For example, how are they different and which one is better?
When comparing Runyard.dev and Sing App React Java, you can also consider the following products.
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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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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