The NVIDIA A100 is a high-performance GPU for AI and HPC. With up to 80GB HBM2e memory and Tensor Cores, it accelerates training, inference, and data analytics. Ideal for AI research and enterprise applications.
The NVIDIA H100, built on the Hopper architecture, is a powerful GPU for AI, HPC, and data analytics. It features advanced Tensor Cores, Transformer Engine, and high-bandwidth memory, delivering exceptional performance for training and inference.
The NVIDIA H200 is a next-generation GPU based on the Hopper architecture. It features faster HBM3e memory, enhanced Tensor Cores, and improved AI acceleration. Ideal for large-scale AI training, inference, and HPC workloads.
The NVIDIA B200, built on the Blackwell architecture, features 192GB HBM3e memory and delivers up to 20 petaFLOPS FP4 performance. It offers 2.5× faster training and 5× faster inference, ideal for AI and HPC workloads.