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[Selected Topics] Era of Machine Data: Analysis on Training and Inference Applications of AI Servers

Last Modified

2023-05-08

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PDF

Overview

Summary
The expectation that AI would introduce immense benefits to the commercial market has prompted major suppliers to engage in AI training, which yielded the demand for hardware equipment. AI is currently at the mass training phase, and applications of AI servers are still focused on training, where GPU and GPGPU serve as the cores, while ASIC and FPGA facilitate inference through specific algorithms that will improve overall computing performance.

Table of Contents
1. Perpetual AI Training under Era of Machine Data
(1) Existing AI Servers Primarily Focused on Training
(2) FPGA and ASIC Could Assist with Inference

2. Analysis on Architectures and Trends of AI Servers
(1) GPU Serves as the Core for AI Servers
(2) ASIC and FPGA to Accelerate Inference Applications
(3) Mass Data Prompts Storage Demand
(4) DPU Emerges to Strengthen Resource Allocation
(5) High Energy Consumption Amplifies Demand for Cooling

3. TRI’s View
(1) Fast Iterations of AI Models Actuates Advancement of Server Modules
(2) AI Servers Currently Focused on Training with GPU Serving as a Key Factor

＜Total Pages：12＞

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[Selected Topics] Era of Machine Data: Analysis on Training and Inference Applications of AI Servers

Overview

Spotlight Report

[Selected Topics] Updates and Impacts Related to Effects of Trump Administration’s Tariffs on Canada, Mexico, China, and Taiwan

[Selected Topics] Emergence of CubeSats to Open a New Chapter for Global Satellite Market

[Selected Topics] Cloud Computing Shapes the Competitive Landscape of the Robotaxi Industry

[Selected Topics] NVIDIA Announced Next-Gen B300, Rubin, and Vera at GTC 2025; Shift from GB NVL72 to VR NVL144 and Rubin Ultra NVL576 to Advance Memory, Liquid-Cooling, and CPO Communication Network

[Selected Topics] The Rise of DeepSeek and Trends in Agentic AI Applications

[Selected Topics] Samsung Expedites Adoption of Hybrid Bonding through YMTC’s Patent Authorization as AI Demands Better Transmission Performance

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[Selected Topics] Samsung Expedites Adoption of Hybrid Bonding through YMTC’s Patent Authorization as AI Demands Better Transmission Performance

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[Selected Topics] The Rise of DeepSeek and Trends in Agentic AI Applications

[Selected Topics] Samsung Expedites Adoption of Hybrid Bonding through YMTC’s Patent Authorization as AI Demands Better Transmission Performance

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