For small to medium scale AI training and inference, which NVIDIA GPU is most commonly chosen?

The most commonly chosen NVIDIA GPU for small to medium scale AI training and inference is the T4. The T4 GPU is optimized for both training and inference workloads, providing a balance between performance, power efficiency, and cost-effectiveness, making it a popular choice for organizations looking to implement AI solutions without requiring the extensive resources of larger data centers.

The T4 is designed with Tensor Cores that accelerate AI model training and inferencing efficiently. Additionally, the T4 supports diverse workloads, from machine learning to deep learning tasks, allowing developers to deploy various AI models effectively. Its versatility, combined with its integration capabilities in cloud environments, contributes to its popularity for small to medium scale applications.

In contrast, the A100, while powerful and well-suited for large-scale AI training and inference tasks, may be more than what is needed for smaller projects, often leading to higher costs. The P100 and V100 GPUs, although also capable, tend to be less favored for smaller setups due to their age and the advancements offered by the T4, which often delivers better performance for the same scale of work.