It introduces features to improve asynchronous execution and allow an overlap of memory copies with computation while minimising synchronisation points. The Hopper architecture extends MIG capabilities by up to 7x over the previous generation by offering secure multitenant configurations in cloud environments across each GPU instance. The NVIDIA Hopper, named after scientist Grace Hopper, was released two years after the previous NVIDIA Ampere architecture. The A100 GPU A100 Vs H100 comparison by NVIDIA In addition, the GPU includes the new third-generation Tensor Core that boosts throughput over V100 and supports DL and HPC data types. Amidst MIG, the A100 allows CSPs improvement to deliver up to 7x more GPU Instances. Supporting the huge digital transformation wave in 2020 and the pandemic, A100 GPU features a multi-instance GPU (MIG) virtualisation and GPU partitioning capability, efficient for cloud service providers (CSPs). The Ampere architecture provides up to 20X higher performance than its predecessor, with the ability to divide into seven GPUs and dynamically adjust to shifting demands. NVIDIA A100 Tensor Core GPU, announced in 2020, was then the world’s highest-performing elastic data centre for AI, data analytics, and HPC. Additionally, it allows for enhanced AI inference supporting real-time and immersive applications using giant-scale AI models, chatbots with the capacity for real-time conversation based on Megatron 530B, the most powerful monolithic transformer language model and training of massive models with a speedier process. This is given the highly scalable NVLink® interconnect for advancing gigantic AI language models, deep recommender systems, genomics and complex digital twins. NVIDIA promises the new GPU and Hopper technology will power the most upcoming research in AI.

New DPX Instructions that can accelerate dynamic programming by up to 40x compared with CPUs and up to 7x compared with previous-generation GPUs.

4th-Generation NVIDIA NVLink connecting up to 256 H100 GPUs at 9x higher bandwidth.

2nd-Generation Secure Multi-Instance GPU with MIG capabilities extended by 7x the previous version.

New Transformer Engine that speeds up networks 6x the previous version.

Based on the Hopper architecture, NVIDIA claims it to be “the world’s largest and most powerful accelerator”, perfect for large-scale AI and HPC models. The NVIDIA H100 is the company’s ninth-generation data centre GPU packed with 80 billion transistors. Is H100 a better successor? How do they compare? Analytics India Magazine analyses this. Its predecessor, NVIDIA A100, is one of the best GPUs for deep learning.

The GPU is based on NVIDIA’s new Hopper GPU architecture. NVIDIA CEO Jensen Huang introduced the new NVIDIA H100 Tensor Core GPU at NVIDIA GTC, 2022.

Hopper clock