Putting AI Projects on the Fast Track with
NVIDIA DGX Foundry and
NetApp storage-as-a-service
NVIDIA DGX Foundry and
NetApp storage-as-a-service
Sub brand
Date: Thursday, May 12, 2022
Time: 9:00am- 10:00am PT
Duration: 1 hour
Time: 9:00am- 10:00am PT
Duration: 1 hour
Businesses are increasingly turning to IT leaders to operationalize platforms that can accelerate and scale AI initiatives from development to deployment. While traditional enterprise infrastructure lacks the resources needed to power AI/ML workloads, new approaches are emerging that dramatically simplify how IT teams can enable data scientists and developers to deliver business-critical AI apps sooner, and more cost-effectively. Join this webinar to learn new consumption models for AI infrastructure such as NVIDIA DGX Foundry, integrating NetApp’s high-performance data management subscription-based service, helping enterprises streamline and accelerate the end-to-end lifecycle of AI and data science development. Learn how to accelerate AI on NVIDIA DGXTM systems, powered by NVIDIA A100 Tensor Core GPUs and 2nd Gen AMD EPYC™ CPUs.
- Why modern enterprise AI development is driving need for new infrastructure
- Why more businesses are turning to hybrid cloud to support today’s complex AI models
- How new consumption models for infrastructure are making it easier for IT teams to deliver the right resources to AI teams
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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Speakers
Tony Paikeday
Senior Director, Artificial Intelligence Systems at NVIDIATony Paikeday is Senior Director of AI systems at NVIDIA, responsible for the go-to-market for NVIDIA’s DGX portfolio of AI supercomputers. In his role, Tony helps enterprise organizations infuse their business with the power of AI with infrastructure solutions that enable insights from data. Tony was previously with VMware, responsible for bringing desktop and application virtualization solutions to market, as well as key enabling technologies including GPU virtualization and software-defined data center. Prior to joining VMware, Tony was at Cisco, building its data center solutions. Prior to Cisco, he held business development roles working with enterprise and service provider accounts, after having started his career as a Manufacturing Engineer for Ford Motor Company. Tony holds an engineering degree from the University of Toronto.
David Arnette
Principal Solution Architect- AI and AnalyticsDavid Arnette is a Principal Solution Architect focused on NetApp solutions for AI, Analytics and HPC workloads. He has published numerous reference architectures for enterprise applications and emerging workloads with NetApp products and has over 20 years’ experience designing and implementing datacenter infrastructure solutions.
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