Uplatz is a global IT Training & Consulting company
Introduction: The Dichotomy of Modern AI Acceleration The field of artificial intelligence is defined by a fundamental conflict: an insatiable, exponentially growing demand for computational power clashing with the physical Read More …
The Imperative for Specialization: From General-Purpose GPUs to AI-Centric Accelerators The trajectory of modern artificial intelligence (AI) is inextricably linked to the evolution of the hardware that powers it. For Read More …
Executive Summary The artificial intelligence hardware market is undergoing a strategic fragmentation, moving from the historical dominance of the general-purpose Graphics Processing Unit (GPU) to a new triad of specialized Read More …
The Imperative for Specialization: From General-Purpose GPUs to AI-Centric Accelerators The trajectory of modern artificial intelligence (AI) is inextricably linked to the evolution of the hardware that powers it. For Read More …
The Imperative for Specialization: From General-Purpose GPUs to AI-Centric Accelerators The trajectory of modern artificial intelligence (AI) is inextricably linked to the evolution of the hardware that powers it. For Read More …
The Imperative for Domain-Specific Acceleration The landscape of computing has been defined for decades by the relentless progress of general-purpose processors. However, the dawn of the deep learning era in Read More …
Executive Summary The relentless advance of artificial intelligence has ignited a new and fiercely contested arms race, not for munitions, but for computational power. For years, this landscape has been Read More …
Executive Summary This report provides a comprehensive architectural and economic analysis of the two dominant high-performance memory technologies, High Bandwidth Memory (HBM) and Graphics Double Data Rate (GDDR). It frames Read More …
Part I: Foundations of Photonic Computing 1. Introduction: Beyond the Electron The relentless march of computational progress, a defining feature of the late 20th and early 21st centuries, has been Read More …
The Anatomy of LLM Inference and Its Intrinsic Bottlenecks The deployment of Large Language Models (LLM) in production environments has shifted the focus of the machine learning community from training-centric Read More …