The NVIDIA H100 and B200 GPUs represent significant advancements in AI hardware, with the H100, launched in 2022, setting a new standard for AI workloads through its Hopper architecture, featuring fourth-generation Tensor Cores and substantial improvements in memory bandwidth and security. The B200, unveiled in 2024 with the Blackwell architecture, offers groundbreaking enhancements, including a dual-chip design and fifth-generation Tensor Cores, providing up to 2.5 times faster training and 15 times better inference performance than the H100. This architectural leap is driven by the growing complexity of AI models and the need for more efficient large-scale inference. The B200’s capabilities are particularly evident in its ability to handle models with up to 200 billion parameters, supported by a memory capacity of 192GB and a bandwidth of 8 TB/s, effectively optimizing performance and efficiency in both training and inference workloads. Benchmark tests with the GPT-OSS-120B model demonstrate the B200's superior performance over dual H100 configurations, especially in scenarios demanding high concurrency and throughput, making it an attractive option for enterprises focused on next-generation AI applications despite its higher power requirements.