Challenges in Traditional AI Model Training

Challenges in Traditional AI Model Training:

• Dependency on GPU and TPU: Traditional AI model training heavily relies on Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs), which can be expensive and have limited availability.

• Cost Barriers: The high cost of GPU and TPU usage poses a significant barrier for small-scale developers and researchers, hindering innovation and progress in the AI field.

• Scalability Issues: Scaling AI model training with traditional hardware often faces limitations in terms of scalability and efficiency, particularly for large-scale projects.