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Date: Tuesday, May 17, 2022
Time: 10:00am - 11:00am PT
Duration: 1 hour
Time: 10:00am - 11:00am PT
Duration: 1 hour
AI Training and Inference applications have requirements that are unlike those of traditional business applications. Systems for training need to be carefully designed to maximize performance, and systems for Edge Inference have their own unique requirements due to their deployment location. By attending this webinar, you will learn how to configure servers for these workloads, and how NVIDIA makes it easy for enterprises to choose a full platform solution for these use cases.
- The hardware requirements of AI training and inference workloads
- How the NVIDIA-Certified Systems program offers enterprises an easy way to choose GPU-accelerated systems for AI
- The NVIDIA platform for Enterprise AI, and how to get started
WEBINAR REGISTRATION
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speaker
Charu Chaubal
Product Marketing Manager, NVIDIACharu Chaubal works in product marketing for the Enterprise Computing Platform Group at NVIDIA. He has over 20 years of experience in marketing, customer education and pre-sales of technology products and services. Charu has worked in diverse areas, such as cloud computing, hyperconverged infrastructure and IT security. As a technology marketing leader at VMware, he helped launch numerous offerings that collectively grew into multibillion-dollar businesses. Previously, he worked at Sun Microsystems, where he architected distributed resource management and HPC infrastructure software solutions. Charu has a Ph.D. in chemical engineering and is the author of several patents.
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