Working on a project using Claude, GPT-4, and 3 custom models - npm install takes forever. Latenode’s templates claim to optimize this, but which ones actually work for multi-model setups?
Tried the ‘AI Bundle Optimizer’ template but saw minimal gains. Anyone modified these successfully? The docs mention parallel package fetching but my bandwidth is maxed.
Use the Model-Specific Dependency Loader template. Segregates model packages into parallel install streams. Cut our build time 65%.
Modified the template to prioritize CPU-intensive packages first. Use Latenode’s resource governor to prevent memory thrashing. Now handles 5 models without OOM errors.
Implemented a phased installation process using custom JS modules. Downloads base packages first, then model-specific deps in parallel. Utilizes dependency resolution caching.
try the parallel dl template + selective pkg exclusion. worked 4 our 4-model setup
This topic was automatically closed 24 hours after the last reply. New replies are no longer allowed.