- Hardware Component
- Requirements and Description
- Graphics Processing Units
High-performance GPUs or TPUs are essential for processing complex computations during model training. Multiple GPUs in a cluster can significantly speed up the process.
Memory Capacity
Large memory capacity is crucial for storing model parameters, especially in the case of large Generative AI models.
Storage
Fast storage solutions, such as Solid State Drives (SSDs), are used to enable quick data retrieval and storage during training.
Computing Clusters
Distributed computing clusters with multiple GPUs are employed for parallel processing, reducing training time.
Internet Connection
Access to high-speed internet is necessary for downloading and transferring large datasets, as well as for accessing cloud-based resources for training.
