The NVIDIA Hopper architecture (named after computer science pioneer Grace Hopper) represents a major shift in GPU computing, designed specifically to address the massive computational demands of Generative AI and Large Language Models (LLMs). First announced in 2022, the flagship chip based on this architecture is the NVIDIA H100. Here is a breakdown of what … “NVIDIA Hopper architecture: A Deep Dive” [More]
AI accelerators are specialized hardware designed to speed up machine learning tasks (training and inference) far more efficiently than general-purpose CPUs. They can be broadly categorized by their primary use case: data centers, edge devices, and consumer hardware. Here is a list of the major AI accelerators currently shaping the industry: 1. Data Center & … “List of major AI accelerators” [More]
An AI accelerator is a specialized piece of hardware designed to speed up artificial intelligence (AI) workloads, particularly machine learning and deep learning tasks. While general-purpose processors like CPUs can handle AI computations, they are often inefficient for the highly parallel, matrix-multiplication-intensive operations that characterize modern AI models. AI accelerators bridge this gap by offering … “AI accelerator: A Deep Dive” [More]