Tool profile · Publisher documentation
CanIRun.ai is a compatibility checker for local open AI models. According to its supplier's public documentation, it detects your GPU or Mac and ranks the open models that actually fit based on available memory. LE LABO IA has not tested the product, and this profile relies only on the public documentation of its supplier. Intended uses include checking whether a given machine can host a model, comparing candidate models for the same device, estimating generation speed in tokens per second and reviewing a per-device compatibility list. Exact prices, billing periods, quotas, free access, territorial availability and legal terms are not confirmed, so readers should check them with the supplier. The feature set and intended uses below are documented; performance, memorized results and compatibility with every setup remain to be checked case by case.
Tool profile · Publisher documentation
The product points below come from publisher documentation. No common hands-on test is claimed. Documentary profile, sources checked October 7, 2026. LE LABO IA has not tested this product.
Check whether a specific open model fits the memory of your GPU or Mac before downloading it. Compare several open models for the same device and pick the one that matches your needs. Estimate generation speed in tokens per second to set expectations for local use. Build a shortlist of models compatible with each machine you manage.
Pricing is not confirmed. The free tier, entry price, billing period, quotas and any trial remain unverified in the supplier documentation this profile relies on. Check the supplier's current offer before committing, and treat any figure you find there as the only authoritative one.
LE LABO IA has not tested the product; this profile relies on the supplier's public documentation only. Exact prices, quotas, territorial availability and terms of use are not confirmed and should be checked with the supplier.
On the supplier site, enter the device you actually plan to use and compare the listed models with the memory you have. Then run one model locally on a representative task and note the observed speed and stability. Check the current price, quota and licence terms with the supplier before you rely on the tool for a purchase or a deployment decision.
