slopsome.com
Infratailors.ai
QWQ-Max
Ollama
Mistral 7B
AgentGPT
Godmode
Find cheap and available GPU vm instances

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.

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

No description of GPU Finder yet.
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...
What each product offers, as listed by its team.

Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing GPU Finder and Runyard.dev.
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 GPU Finder and Runyard.dev. For example, how are they different and which one is better?
When comparing GPU Finder and Runyard.dev, you can also consider the following products.

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.
Compare slopsome.com to GPU Finder or Runyard.dev:
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.
Compare RunMyLLM to GPU Finder or Runyard.dev:

Infratailors empowers you to optimize and observe the cost, energy, performance of your GPUs
Compare Infratailors.ai to GPU Finder or Runyard.dev:


The easiest way to run large language models locally
Compare Ollama to GPU Finder or Runyard.dev: