
ModelVRAM
SelfHostLLM
What LLM Can I Run
OpenRouter
Chatbot Arena
HuggingChat
Poe
Test free open LLMs side by side in your browser, and check which GPU runs them.

ModelVRAM
RunMyLLM
slopsome.com
What LLM Can I Run
SelfHostLLM
QWQ-Max
Ollama
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.
|
|
|
|
|---|---|---|
| Website | localllmrig.com | runyard.dev |
| Pricing | ||
| Company | — | Startup from India · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Test open-weight LLMs side by side for free in your browser at https://localllmrig.com/ with no account and 0 GB of local VRAM. Pick 2 to 8 free open models (including Gemma 4 31B, Gemma 4 26B A4B, Recursive Flint 40B, Laguna S 2.1 118B, and NVIDIA Nemotron 3.5), send one prompt or photo, and...
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.


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


No analysis of localLLMrig yet.
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 localLLMrig 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 localLLMrig and Runyard.dev. For example, how are they different and which one is better?
When comparing localLLMrig and Runyard.dev, you can also consider the following products.

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.
Compare ModelVRAM to localLLMrig or Runyard.dev:
Calculate the GPU memory you need for LLM inference
Compare SelfHostLLM to localLLMrig 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 localLLMrig or Runyard.dev:

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.
Compare What LLM Can I Run to localLLMrig or Runyard.dev:

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 localLLMrig or Runyard.dev:
