Theory

NVIDIA A100 GPU is a high-performance GPU meant for AI, data analytics, and HPC. It is built on the sophisticated Ampere architecture with 6912 CUDA cores and 432 Tensor Cores to deliver remarkable parallel processing for enhanced speed and efficiency in computation. The A100 has a maximum of 80GB High Bandwidth Memory (HBM2e), making it easy to work with large datasets.

It speeds up model training and inference by being 20x faster than the last generation of GPUs. The A100 is also certified for MIG technology, enabling a single GPU to be divided into several instances in order to have efficient use of resources.

Unlike a CPU that executes tasks sequentially, the A100 GPU executes numerous tasks at once, dramatically increasing speed and efficiency in AI workloads.

NOTE- Due to the high cost of A100 GPU instances and limited access to DGX A100, demos will be conducted on alternative GPUs. This ensures effective learning while maintaining practical feasibility.