- Daten
- -
- Standort
- San Jose, CA und virtuell
KI 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:
- Flüssigkeitsgekühlte Lösungen im Rackmaßstab für KI , mit NVIDIA HGX B200 und 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
Integrierte Petascale-Speicherplattformen für KI
- Standort
- Virtuell
- Datum
- Vortragende(r):
- 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.
KI in Echtzeit vom Rechenzentrum bis zum Rand
- Standort
- Virtuell
- Datum
- Vortragende(r):
- 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.
Ein tiefer Einblick in die Zukunft von flüssigkeitsgekühlten KI
- Standort
- San Jose, CA
- Datum
- -
- Vortragende(r):
- 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.
KI von Rack-Scale bis Data Center-Scale
- Standort
- San Jose, CA
- Datum
- -
- Vortragende(r):
- 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.
Paul McLeod
Product Director, Storage @ Supermicro
John Kim
Direktor für Speichermarketing @ NVIDIA
Mory Lin
Vice President, IoT/Embedded & Edge Computing @ Supermicro
Chia-Wei Chen
GM, Advanced Thermal Solutions @ Supermicro
Johnson Eung
Sr. Growth Product Manager @ Supermicro
Alok Srivastava
Director, Solutions Management AI @ Supermicro