@Donamol_Kurian Welcome to community!!
I got some article from other, go throw this it may help you..
When processing a large volume of documents (like your case with nearly 100 per day), CPU-based automation in UiPath has been effective. Here’s how you can optimize:
- OCR: For structured and semi-structured documents, OCR tools (e.g., UiPath’s native OCR, Google OCR, or Abbyy FlexiCapture) are used for extracting data. These tools are generally optimized for CPU usage.
- Parallelization: While CPUs are preferred, UiPath does allow for parallel processing (running multiple robots concurrently), which can make handling large volumes of documents more efficient. This is especially useful when you have a high throughput of documents.
- AI and ML Models: If you’re dealing with highly unstructured documents and need to implement AI/ML models, you might want to test a combination of local CPU-based processing and cloud-based models (which are optimized for inference but don’t always require GPUs).