Frequently Asked Questions
Find answers to common questions about our tool and how it works.
While helpful for training, inference can often run on CPUs. Cloud services provide GPU access for training without local hardware requirements.
Varies by task: thousands for basic tasks, hundreds of thousands for complex applications. Transfer learning can reduce requirements significantly.
Yes, with proper optimization and model selection. Efficient architectures and hardware acceleration enable real-time processing for many applications.