NVIDIA's datacenter GPU lineup offers dozens of options for various model serving needs, each with its own architecture and tier specifications that guide performance and cost considerations. Understanding the naming scheme is crucial to identifying a card's capabilities and choosing the right hardware for specific workloads. The letter in a GPU name represents the microarchitecture, while the number denotes the tier level, which affects performance, power consumption, and pricing. Comparing different GPUs requires considering both factors, as each combination provides unique trade-offs between power efficiency, core count, VRAM, and price. By deciphering the naming scheme and understanding the differences between various cards, developers can make informed decisions about selecting the most suitable GPU for their specific needs.