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Designing IT Infrastructure to Accelerate AI Innovation

Artificial intelligence promises to unlock new frontiers for business, but its adoption in enterprise has been limited by legacy architectures that fail to meet the demands of modern enterprise AI use cases. Data center leaders can benefit from proven, prescriptive approaches that eliminate design guesswork, simplify AI deployments, and deliver predictable performance at-scale. In this session we’ll meet with design experts from compute, storage and networking domains and explore the design principles and best practices that are enabling today’s enterprise data center to support AI workloads, delivering groundbreaking performance and faster insights for data science and developer teams. Attend this session to learn how to build the right infrastructure strategy for AI in 2019, and accelerate your organization’s time-to-insight.

Ramnath Sai Sagar

Product Marketing Lead, AI & Deep Learning, Pure Storage

Tony Paikeday

Director of Product Marketing, AI and Deep Learning, NVIDIA

Karthik Mandakolathur

Sr Director, Product Marketing, Mellanox

Darrin Johnson

Director of Technical Marketing, Enterprise and Deep Learning, NVIDIA
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3 einfache erste Schritte

1. Ihre Anforderungen überprüfen

Starten Sie gleich, indem Sie Ihre Storage-Anforderungen von unseren Experten einschätzen lassen.

2. Proof of Concept durchführen

Erstellen Sie mit unserem Team einen Proof of Concept, um zu sehen, wie gut wir zu Ihnen passen.

3. Migration zu Pure

Wählen Sie das richtige Team als Partner, um gleich damit zu beginnen, Ihre Gesamtbetriebskosten (TCO) zu senken.