This guide explains how to set up a privacy‑preserving local AI workstation by selecting modest hardware, using open‑source inference frameworks, deploying models with a one‑click graphical interface, and isolating sensitive data through offline routing, all without requiring programming skills.
This article provides a detailed technical analysis of NVIDIA's A100, H100, A800, H800 and H20 GPUs, compares their architectures, performance and cost, and offers step‑by‑step guidance on building a private AI compute center, selecting hardware, software stacks and budgeting for different workloads.
Bilibili designed and deployed an AI compute network for large language model training, choosing a Fat-Tree topology, selecting high‑speed switches, optical modules, and fibers, implementing fixed‑path load balancing, and building a sub‑second telemetry monitoring platform, with plans to scale to ten‑thousand GPUs.
This guide explains the 2023 desktop GPU ladder, clarifies the differences between NVIDIA (N‑cards) and AMD (A‑cards), distinguishes public and non‑public models, and recommends specific graphics cards for each performance tier from entry‑level to high‑end gaming.
This article explains how CPU core count, clock speed, and cache, as well as GPU shader count, frequency, memory bandwidth, and graphics‑card memory size and interface affect performance, and shows 2023 desktop and laptop performance ladder charts to help users compare and choose the right hardware.
This guide explains how to select desktop computer parts—including CPU, GPU, motherboard, memory, storage, power supply, and cooling—by evaluating usage, performance tiers, specifications, brand options, and compatibility, while also noting which components can be safely bought second‑hand.
The 2023 desktop CPU ladder chart ranks Intel and AMD processors by multi‑core performance, helping users quickly compare generations and choose the most suitable CPU for gaming or productivity based on benchmark rankings and recommended motherboard pairings.
This article provides a comprehensive overview of server hardware fundamentals, covering server form factors, motherboard architecture, selection criteria, major vendors, CPU concepts and performance, NUMA, memory specifications, disk throughput and IOPS, as well as network card types and bonding modes.
This guide explains how to select and grade server racks, outlines essential criteria such as load capacity, ventilation, power distribution, and cable management, and compares three cable‑routing techniques to help data‑center operators make reliable, future‑proof decisions.
The article explains how SSD durability varies under high‑power, high‑temperature workloads, outlines the differences among SLC, pSLC, MLC, and TLC NAND, and advises OEM designers on selecting the appropriate industrial, commercial, OEM, or consumer‑grade SSD for reliable long‑term operation.
This article reviews how GPU memory bandwidth, architecture, and price affect deep‑learning workloads, compares popular NVIDIA models and alternatives, discusses multi‑GPU scaling, and provides practical guidance for selecting the most suitable GPU for various budgets and use cases.
This document outlines a comprehensive enterprise IT infrastructure plan covering network topology, hardware selection, security measures, VPN solutions, and wireless deployment to support a growing organization with minimal operational overhead and high reliability.
This article provides a comprehensive, easy‑to‑understand overview of server performance tuning, covering what it is, why it matters, when to apply it, where to focus, who should be involved, and how to execute systematic optimization across hardware, operating system, and applications.
This article explains how to evaluate Hadoop workloads and select balanced hardware—covering storage, compute, network, and memory specifications for master and worker nodes—to build an efficient, cost‑effective Hadoop cluster.
