Choosing GPUs: Comparing H100, A100, L40S & Next-Gen Models

Choosing the right GPU for AI and machine learning workloads is crucial as it affects costs, performance, and productivity, with options like NVIDIA's A100, H100, and L40S offering varying advantages. The A100, part of the Ampere architecture, is ideal for general AI training and large batch operations, while the H100 provides superior performance for transformer-heavy models and is optimized for generative AI at scale. The L40S offers a balanced solution for vision and generative AI inference, particularly useful for real-time rendering or multimedia AI. RunPod facilitates seamless deployment of AI workloads with GPU support, offering flexibility through its GPU templates and hourly pricing model. This enables users to experiment with different GPU environments without the need for costly hardware investments or vendor lock-in.