The NVIDIA A100 Tensor Core GPU remains a pivotal component in AI and high-performance computing, primarily due to its affordability, energy efficiency, and availability, despite the advent of more powerful models like the H100 and H200. As part of the Ampere architecture, the A100 introduced significant advancements such as third-generation Tensor Cores and Multi-Instance GPU (MIG) technology, making it a superior option for handling complex AI tasks compared to its predecessors. It offers 6,912 CUDA cores and up to 80 GB of HBM2e memory, providing up to 312 TFLOPS for FP16/TF32 performance, making it apt for data-intensive AI training. While newer models like the H100 and H200 offer improved capabilities, they come with higher costs and energy demands. The A100's support for MIG technology allows for efficient resource allocation and cost reduction in shared environments, making it a versatile and cost-effective option for AI projects. Clarifai's Compute Orchestration platform further enhances the deployment and scalability of A100 clusters by providing seamless management, autoscaling, and cost transparency, thus facilitating efficient and reliable AI operations.