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 …
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 …
Executive Summary This report provides a comprehensive architectural analysis of the hardware interfaces connecting quantum processing units (QPUs) and classical graphics processing units (GPUs). It examines the imperative for hybrid Read More …
Executive Summary The selection of hardware for training deep learning models has evolved into a critical strategic decision, with Graphics Processing Unit (GPU) and Tensor Processing Unit (TPU) representing two Read More …
Section 1: The Inference Hardware Landscape: An Executive Overview 1.1 The Core Challenge: Moving from Training to Production Inference The transition of a machine learning model from the research and Read More …
Section 1: Foundational Philosophies: Latency vs. Throughput The modern computational landscape is dominated by two distinct processing paradigms, embodied by the Central Processing Unit (CPU) and the Graphics Processing Unit Read More …
Executive Summary The Artificial Intelligence (AI) accelerator market in 2025 is defined by a strategic divergence between the industry’s two principal architects. Nvidia’s Blackwell architecture extends its market dominance through Read More …