AI 서버 OEM/ODM 시장

Actionable Benefits:

• How can server vendors align with the market needs of Artificial Intelligence (AI) domain-specific deployments?
• Learnings from best practices in the AI data center ecosystem.
• Recommendations for differentiating an AI server Go-to-Market (GTM) strategy.

Critical Questions Answered:

• What are successful AI server vendors doing differently?
• How is the AI server market changing, in particular for larger accelerator clusters?
• How are vendors addressing end-customers' pain points?

Research Highlights:

• GTM analyses of the top four AI server Original Equipment Manufacturers (OEMs).
• Key compute chipset forecasts through 2030.
• Analysis of offerings that successfully address customer pain points today and going forward.

Who Should Read This?

• AI server ecosystem players looking to capture more of the value chain.
• AI server vendors who wish to differentiate their offering before solutions are "commoditized."
• Investors gauging the competitiveness of various AI server vendors, as well as the wider ecosystem.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEMS-TIER ONE AI SERVER OEMS GTM ANALYSIS

• 3.1 HPE
• 3.2 DELL
• 3.3 LENOVO
• 3.4 SUPERMICRO GTM

4 MARKET DYNAMICS

• 4.1 BEST PRACTICE - HOW NVIDIA OEMS AND ODMS INTERACT
• 4.2 POWER AND COOLING
• 4.3 MANAGED SERVICE WRAPPERS
• 4.4 END-TO-END EXPERTISE AND OFFERINGS

5 RECOMMENDATIONS TO AI SERVER OEMS AND ODMS