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| AI/ML Workloads with Hybrid Cloud Architectures |
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| Enterprises are increasingly shifting their focus from infrastructure to application development. Because of the increasing importance of Artificial Intelligence/Machine Learning (AI/ML) and data science to business, IT infrastructure needs to evolve rapidly to meet their complex requirements, and bring agility and flexibility to make the developers and data scientists productive through the use of modern developer platforms like Kubernetes. These modern hybrid cloud platforms and tools offer increased developer productivity, shorten the path to production, and accelerate the cadence of new features and services which are crucial for application success. |
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| AI/ML Workloads with Hybrid Cloud Architectures |
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| Join this webinar to learn more about the use case of AI/ML on the hybrid cloud and how the VMware Cloud Foundation platform, from vSphere with Bitfusion, to Tanzu, together with Dell infrastructure solutions, can help enable and accelerate your modern applications experience. |
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| Key Takeaways: |
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Understand the use case of AI/ML on hybrid cloud |
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Get the technical nuts-and-bolts of ML on vSphere with Bitfusion |
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Learn how VMware Cloud Foundation is an enabler for AI/ML |
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Hear how Dell Technologies-VMware partnership can accelerate your AI/ML transformation journey |
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Justin Murray
Senior Technical Marketing Architect, Cloud Platform,
VMware, Inc. |
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William Ngoh
Solutions Product Marketing,
Asia Pacific & Japan,
VMware |
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Romain Bottier
Subject Matter Expert,
HPC & AI, South East Asia,
Dell EMC |
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| Technical Quiz
Fastest fingers with the correct answer wins! Attend the webinar session till the end and participate in our technical quiz to stand a chance at winning a Sennheiser HD 450BT Headphone!
*Terms & Conditions Apply |
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| Learn Hardware Acceleration Capabilities of vSphere and How to Deliver Elastic Infrastructure for AI/ML Applications
Watch the Video >> |
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| Designing a Shared Virtualized Infrastructure for Business Critical, Machine Learning and High-Performance Computing Workloads
Read Our Blog >> |
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