Supermicro Turbo Charges Solutions with NVMe Over Fabrics & Intel®

Deploying Intel® Xeon® Platinum or Gold processors with an Intel® Select Solution delivers verified solution performance ready to meet high quality thresholds for data protection and resiliency, while allowing more time and resources for innovative enhancements specific to workloads and use cases.

The current solution using Red Hat’s OpenShift Container Platform and Container-Native Storage co-locates storage and applications, and provides resilient, scale out enterprise-caliber storage to workloads on OpenShift, enabling rapid and highly-available stateful and stateless applications on baremetal x86 systems.

Out of a variety of projects, NetApp has developed a five-staged model to solve the challenge of data management in the Internet of Things domain. In this session you will learn how SAP helps customer get ready for the digital journey using SAP Business Objects for Analytics and SAP HANA. We will show, based on a real-world scenario, how IoT data are processed for predictive analytics and how a hybrid model with SAP Leonardo can be deployed.

Key Takeaways:
- Understand how SAP, Hadoop, and NetApp work well together
- Learn how predictive analytics could be applied to IoT data
- See the integration of NetApp into several SAP IoT related products

Legacy storage systems, like NAS, were architected when spinning disk and slower networking technologies were the industry standard. In this webinar, we’ll present five reasons why NAS can’t keep pace with the I/O demands of new deep learning workloads. To support these workloads, the data processing layer has to have immediate access to, and a constant supply of, data. Here NAS falls short, because the data gets bottle-necked between the compute and storage. WekaIO Matrix™ is a next-generation shared, distributed file system that visualizes the SSDs into one logical pool of fast storage presenting a global namespace to the host applications. Matrix was written from scratch to leverage the benefits of standard Intel x86 architecture combined with NVMe. The result is an easy to deploy, easy to manage storage architecture that is a radical departure from legacy NAS systems. By optimizing Matrix for flash, the storage solution is ideal for deep learning and high-performance computing workloads.

Containers are increasingly becoming an important technology across a wide variety of industries and use cases. But oftentimes, provisioning of persistent storage is an afterthought, which leaves application developers stuck in a manual world waiting for provisioning requests, and IT operations teams scrambling to meet those requests. Project Trident is a dynamic storage provisioner which eliminates these issues and delivers the persistence applications require. Compatible with Kubernetes, Docker, Rancher, and OpenShift, Trident eliminates the manual provisioning of old and delivers a truly automated and dynamic persistent storage provisioning infrastructure.

In this session, you’ll learn more about the challenge posed by persistent storage provisioning, how Trident solves those challenges, and view a demo of Trident in action.

Digital transformation (DX) enables firms to expand their competitive differentiation by embracing data-driven decision-making processes, increasing customer satisfaction and retention, and/or getting better intelligence on the market. Intel, IBM, and Lenovo have partnered to deliver a unified, single platform approach to address an organization’s analytics needs – including Big Data, Enterprise Data Warehouse, and Data Science/AI. Join this webinar to learn the technical differentiation and business value the Lenovo Converged Analytics Platform provides. This data modernization platform enables Enterprises to rise to the challenge of DX through the convergence of data analytics workloads onto a single platform.

Gartner predicts 40% of the top-20 businesses in every industry will be disrupted by the end of this year. Be prepared to not only survive, but thrive, by adopting an agile hybrid cloud solution and business strategy. Join Intel and VMware experts to get their private/hybrid deployment best-known-methods and learn everything you need to know to get going faster and remain competitive.

Whether for private clouds, public clouds or a multi-user environment, IT operators require an infrastructure solution that can instantly spin-up data-intensive workloads and that can scale to support multiple big data workloads or tenants. Attala Systems and Intel have partnered to create a solution that delivers composable storage with local NVMe performance for big data workloads like Apache Hadoop and Spark. The performance available to direct-attached PCIe flash is welcome, but cloud total cost of ownership (TCO) is better when storage is shared to many hosts while offering the elasticity to meet dynamic tenant demands. The maturing of the NVMe over Fabrics (NVMe-oF) specification enables local NVMe performance over a network. With remote direct memory access (RDMA), NVMe actions and data can be transported over a fabric such as Ethernet. This brief illustrates how a complex big data analytics workload is well served by Attala Composable Storage with Intel® 3D NAND SSDs. This workload—which once struggled to scale to support concurrent customers when serviced by an iSCSI appliance or enterprise storage area network (SAN), is shown to match local NVMe performance and scale independently for two customers with no degradation in application runtime when using the NVMe-oF target.