
ModelVRAM
RunMyLLM
slopsome.com
What LLM Can I Run
localLLMrig
SelfHostLLM
QWQ-Max
Hardware-aware AI model discovery. Enter your GPU and VRAM — instantly see every LLM that fits, ranked by speed and quality.

Code Effects is the fastest and most intuitive .NET business rules engine trusted by government entities and Fortune 500 corporations all over the world

Website, pricing, platforms and company facts side by side.
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| Website | runyard.dev | codeeffects.com |
| Pricing | ||
| Company | Startup from India · 1 - 9 employees · 2026 | 2009 |
| 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...
Code Effects Software is the developer of state-of-the-art business rules engine that combines an incredible performance of rule evaluation with revolutionary web interface, allowing the end-users to author and manage their corporate business rules with no knowledge of programming languages or IT...
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 Runyard.dev and Code Effects.
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 Code Effects. For example, how are they different and which one is better?
When comparing Runyard.dev and Code Effects, 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 Runyard.dev or Code Effects:
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 Runyard.dev or Code Effects:

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 Runyard.dev or Code Effects:

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 Runyard.dev or Code Effects:

Test free open LLMs side by side in your browser, and check which GPU runs them.
Compare localLLMrig to Runyard.dev or Code Effects:
Calculate the GPU memory you need for LLM inference
Compare SelfHostLLM to Runyard.dev or Code Effects: