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The evolution of the internet over the last 20 years led Juniper Apstra to an operations- first approach to transform the data center network. This drove us to invent “intent- based networking”, which has helped our customers manage their private data centers as easy as cloud. More recently, advances in artificial intelligence (AI) and machine learning (ML) have presented challenges, but Juniper is well-positioned to help customers navigate these new opportunities in AI infrastructure and AIOps. Presented by Mansour Karam.
Personnel: Mansour Karam
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This session shows how data center (DC) operators can achieve public cloud-like service consumption on premises by using Apstra and Terraform to automate end-to- end application creation. Through a sample app deployment, it shows how Juniper’s Terraform provider fits traditionally complex network services, like EVPN, neatly into a predefined application automation. Learn how Apstra with the Terraform Provider for Apstra allows application owners to self-serve network services in a familiar way, providing seamless deployments across any infrastructure. Presented by Chris Marget.
Personnel: Chris Marget
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This demo shows how to “terraform apply” to effectively import many AI cluster design examples into Apstra. Designs include many sizes of clusters, GPU compute fabrics for model training, storage fabrics, and management fabrics. The logical rack types follow the NVIDIA best practice for rail-optimized design which is explained with the topology of eight leaf devices in a stripe grouping. Presented by James Kelly.
Personnel: James Kelly
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Dive into how you can enhance Apstra’s extensive pre-built Intent- Based Analytics (IBA) with custom collectors and dashboards. During the demonstration, you will learn how to collect valuable data, enrich it with knowledge from the vast Apstra graph database, and create new visualizations plus custom alerts to provide better insights and information about your data centers or AI clusters. Presented by Kyle Baxter and Rajeev Menon Kadekuzhi.
Personnel: Kyle Baxter, Rajeev Menon Kadekuzhi
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