Brandpost: Deploying Deep Learning In Productio... Info
DL models are computationally expensive, often requiring specialized GPUs and high-memory environments for efficient inference.
Modern models can have billions of parameters, leading to massive file sizes that complicate storage, loading, and real-time response times. BrandPost: Deploying Deep Learning in Productio...
The transition from local development to a live environment introduces several critical hurdles: DL models are computationally expensive