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Dates
Location
San Jose, CA and Virtual

AI Data Center Building Block Solutions®

Join Supermicro at NVIDIA’s GTC 2025 conference in San Jose CA, or virtually online, to partake in the forefront of AI innovation. Supermicro is proud to be a GTC Diamond Sponsor and will be exhibiting (at booth #1115) a full range of AI Data Center Building Block Solutions. Some highlights include:

  • Rack-scale liquid-cooled solutions for AI training, featuring NVIDIA HGX B200 and NVIDIA GB200 NVL72
  • AI-Optimized Systems in new form factors for distributing production AI inference models across datacenter-to-edge environments, including Supermicro’s NVIDIA Jetson Orin NX Fanless Edge AI Inferencing System
  • Never-before-seen Supermicro systems leveraging the latest NVIDIA technology
Supermicro Sessions & Speakers at GTC 2025

Petascale Storage Integrated Platforms for AI Clusters

Location
Virtual
Date
  • Presenter(s):
    • Paul McLeod
    • John Kim

Supermicro presents a high-performance attached storage fabric for AI clusters to meet the expanding needs of modern AI data centers. Supermicro proposes an all-flash petascale data lake architecture to support a heterogeneous mix of AI applications, support unstructured and structured data, and deliver the highest possible application performance.

View on GTC Site

Real-Time Enterprise AI Inference From Data Center to Edge

Location
Virtual
Date
  • Presenter(s):
    • Mory Lin

As the AI ecosystem matures, enterprises are transitioning from development to serving real value to end users. To achieve the highest level of service, deploying trained AI models for inference is not a one-size-fits-all solution. Join Supermicro as we present AI inference solutions optimized specifically for the deployment environment and application type, with solutions from the data center to the edge.

View on GTC Site

A Deep Dive into the Future of Liquid-Cooled AI Data Centers

Location
San Jose, CA
Date
  • Presenter(s):
    • Chia-Wei Chen

Supermicro dives into the present and future of liquid-cooled AI infrastructure. We'll cover real-world success stories from the world's largest liquid-cooled AI deployments, and preview future liquid-cooling total solutions. Supermicro highlights liquid-cooling best practices and reference architectures to maximize computing density, efficiency, and productivity for the whole data center.

View on GTC Site

Rack-Scale to Data Center-Scale AI Building Block Solutions

Location
San Jose, CA
Date
  • Presenter(s):
    • Johnson Eung
    • Alok Srivastava

AI has led to a rethinking of data center IT infrastructure: functional units of compute have moved beyond rack-scale to data center-scale. Supermicro presents its Data Center Building Block Solution, building up from the system node level to the rack cluster level to the data center level. Supermicro presents best practices for optimizing data center resources, including space, power, and water utilization to deliver return on investment. Join his session to gain game-changing perspectives on building efficient, future-ready AI systems.

View on GTC Site

Paul McLeod, Product Director, Storage at Supermicro

Paul McLeod

Product Director, Storage @ Supermicro

John Kim, Director of Storage Marketing at NVIDIA

John Kim

Director of Storage Marketing @ NVIDIA

Mory Lin, Vice President, IoT/Embedded & Edge Computing at Supermicro

Mory Lin

Vice President, IoT/Embedded & Edge Computing @ Supermicro

Chia-Wei Chen, GM, Advanced Thermal Solutions at Supermicro

Chia-Wei Chen

GM, Advanced Thermal Solutions @ Supermicro

Johnson Eung, GM, Sr. Growth Product Manager at Supermicro

Johnson Eung

Sr. Growth Product Manager @ Supermicro

Alok Srivastava, GM, Director, Solutions Management AI at Supermicro

Alok Srivastava

Director, Solutions Management AI @ Supermicro

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