Name: QuantaStor™ Software-Defined Storage Solution
Start: 2021-07-28T17:30:00Z
End: 2021-07-28T17:57:14.000Z
Location: BrightTALK
Rating: 4.67

Supermicro provides end-to-end green computing solutions for the data center, cloud computing, enterprise IT, big data, high performance computing and embedded computing.

Enterprise digital transformation requires a modern communication backbone to support adoption and use of new, data-driven use cases at scale. Private 5G, couple with Edge computing forms that next-generation, private network that drives everything from real-time customer/partner interaction to Industry 4.0. 

Join Supermicro and Zscaler experts for a deep dive into the benefits and challenges of deploying Private 5G at the Edge, securing your data paths from Metal to Edge to Cloud, and new server form factors capable of high performance  operation in harsh environments without sacrificing energy efficiency.

Zero Trust for Private 5G and Edge

As the media and entertainment giants of the world expand our universe with virtual worlds, exploring untapped possibilities, the challenge of collaboration and production among hundreds of creators, designers, researchers, and engineersat scale, is now becoming achievable. NVIDIA’s Omniverse™ Enterprise platform takes the notion of building worlds one step further. A virtual 3D collaboration tool at heart, Omniverse maximizes iterations with minimal opportunity cost in an easily extensibleopen platform. NVIDIA Omniverse is  designed to reduce costs and waste while expanding creativity and boosting productivity while decreasing opportunity cost and accelerating time to production. 

With the new addition of NVIDIA OVX™, building industrial digital twins opens up more opportunities. Add to this the power of Supermicro servers, workstations, and storage systems , companies can now deploy NVIDIA Omniverse at scale for hundreds of users across the globe. These solutions are tailored to handle your demanding workloads. With all this new technology available, creators’ imaginations are unleashed to make the impossible possible.

NVIDIA’s Omniverse: Building Worlds at Scale

Despite the rapid evolution and growth of public cloud usage, enterprises are finding value in on-premises IT infrastructure. As a result, some organizations are moving their workloads back, partially or entirely, to their own data centers. In fact, according to a survey conducted by IDC, over ½ of the IT spent on servers and storage is still driven by on-prem deployments, and over 70% of those surveyed said they plan to repatriate workloads back from public cloud to an On-Prem Infrastructure. 

Join Supermicro for a webinar with IDC industry experts to learn insights into why some leading enterprises, including Intel®, PFN, and Twitter, decide to invest in their own infrastructure and how they are leveraging tailored solutions optimized for their specific workloads to achieve superior control, cost, and predictability of their business. We will explore the benefits recognized by running on-premises IT operations, along with the IT strategies and challenges behind it.

Benefits of Operating an On-Premises Infrastructure

The convergence of AI and HPC is leading to the need to handle more diverse workloads in High Performance systems. This increase in diversity of demanding workloads coupled with the expanding landscape of available accelerators can be a challenge for designing application optimized HPC systems. We will explore the benefits of designing HPC systems with heterogeneous accelerator technologies to make the marriage of AI and HPC faster and more efficient. We will take a practical look at what can be achieved today and emerging technologies that will drive the HPC designs of the future.

Watch this presentation to learn about the following topic(s):

• Machine learning and HPC: Each worthy of its own investment, or better together? (Alternately: Marriage for the ages, or heading for divorce?)
• Specialization vs. standardization: How do you maximize specific application performance without creating silos?

Heterogeneous Design Approaches to the Convergence of HPC and AI

Supermicro’s panel of experts will discuss the latest developments in energy and resource-saving infrastructure from the cloud to the Edge, and how selecting the right combination of processors, components and architectures can help businesses to reduce costs and improve efficiency for large data center deployments.

Modern Cloud Infrastructure Deployments for AI from the Data Center to the Edge

Edge applications today require strong networks and connections to core data center products. Supermicro’s Twin systems deliver performance from the edge to the core or cloud data center and leverage our latest content delivery network (CDN) technologies.
 
Join this webinar to learn about the different Supermicro CDN technologies that support Edge Computing based on 3GPP standards and have proven successful for our customers. Product experts will also discuss the importance of an elastic CDN to optimize the availability of resources for low-latency and high-bandwidth applications and share an introduction to our new Supermicro GrandTwin® server, featuring 3rd Gen Intel Xeon Scalable processors.

Optimize Content Delivery with Multi-Access Edge Computing

The changing workload placements, from the Data Center to the Edge, have disrupted enterprise data storage infrastructure dynamics. to the hybrid nature of workload characteristics, the storage performance requirements for use cases such as AI/ML, Cloud Native Platforms (CNP), and HPC have made it far more complex to create the infrastructure that scales effectively and efficiently.
In this Webinar, Rajdeep (Senior Manager IT, Synopsys) and Srini Bala (GM, Solutions Engineering, Supermicro) will discuss their experience in overcoming these challenges to optimize workloads while maximizing performance. Tune into this webinar to learn:
• How Cloud Native Platforms using docker and Kubernetes based container applications leverage CEPH’s object and block storage
• How AI/ML use-cases changed the storage requirements over time
• How OpenStack like environment where we need on-demand VMs to leverage CEPH’s block and object storage
• Ways to leverage the latest storage technology while preserving existing investments
• SDS design principles and how we run benchmarking to quantify performance characteristics

Emerging Cloud Storage Trends for Enterprises

Today's Cloud, Enterprise, HPC, and AI/ML workloads require a new level of computing performance. AMD and Supermicro teamed up to offer a breadth of portfolio products to accelerate compute-intensive workloads. Powered by AMD's 3rd Gen EPYC processors with AMD 3D V-Cache and AMD Instinct MI200 series GPU accelerators, Supermicro's SuperBlade offers the highest density, superior performance, GPU acceleration, and advanced networking features available in the industry today. With world-record performance, the Supermicro SuperBlade can modernize your IT infrastructure while bringing cloud-like agility and economics to on-premises infrastructure. Come join us, discover the various use cases, and see how customers can achieve lower TCO with a cost-effective and flexible platform.

Drive Data Center Efficiency with SuperBlade, Powered by AMD EPYC™ and Instinct™

NVIDIA Omniverse™ Enterprise enables creative teams to collaborate on enterprise visualization projects like never before. This new technology reduces costs and waste by enabling a simultaneous workflow, maximizes creativity by enabling new iterations without opportunity cost, and accelerates time-to-production by eliminating import-export workflows. As Omniverse is boosting creative workflow efficiency, Supermicro has built optimized solutions — from single high-powered workstation to dense rack scale — utilizing today’s highest-quality and highest-performance components available. Get an overview of deploying high-throughput, high-performance Omniverse server architecture at scale to creative teams. We'll discuss optimal nucleus and virtualization strategies, as well as selecting the right hardware for different creative workloads.

Deploying Omniverse at Rack Scale

Federated deep learning enables collaboration to share data, while preserving data privacy, to build better AI models with reduced bias. This technique has wide applications across health care, finance, services, manufacturing, energy, and other industries. Supermicro will describe an implementation of federated deep learning using Supermicro AI platforms for health care and life sciences, using a resilient architecture built with MONAI, NVIDIA FLARE, NVIDIA CLARA, Kubernetes, and CEPH. The implementation ran multi-day AI training of variational network models using fMRI data from multiple sources, while preserving data privacy. Supermicro presents choices of systems that support deep learning training, inference, Omniverse, virtualization, visualization, Kubernetes, and CEPH. These systems provide the latest NVIDIA technologies, offering form factors, power consumption, and cooling for system builders and IT architects to make optimal trade-offs to build their deep learning infrastructure.

AI Building Blocks for Industry 4.0

The traditional data center has emerged into a distributed, hybrid infrastructure, located on-premises, in the cloud, and at the edge. Protecting it requires a different way of thinking, combining capabilities from multiple disciplines. We'll explore current visibility and segmentation capabilities that empower simplified prevention, detection, and remediation of different attack classes such as ransomware and supply chain attacks. We'll present the first hardware-based micro-segmentation solution powered by Supermicro, NVIDIA DPU and Akamai/Guardicore unique micro-segmentation capabilities.

Solving the World's Greatest Cybersecurity Challenges using Micro-Segmentation

The Universal GPU system architecture combines the latest technologies that support multiple GPU form factors, CPU choices, storage, and networking options.Together, these components are optimized to deliver high performance in a balanced architecture  in a highly scalable system. Systems can be optimized for each customer’s specific Artificial Intelligence (AI), Machine Learning (ML), or High Performance Computing (HPC) applications. Organizations worldwide are demanding new options for their future computing environments, which have the thermal headroom for the next generation of CPUs and GPUs.


Join this webinar to learn how to leverage Supermicro's Universal GPU system to simplify customer deployments, deliver ultimate modularity and customization options for AI to Omniverse environments.

Supermicro’s Universal GPU:  Modular, Standards Based and Built for the Future

As the adoption of intelligent applications in the Retail industry grows, so do their technology requirements. This creates challenges for store operators to navigate the deployment and maintenance of hardware, applications, and management tools at locations without a dedicated IT staff. Along with the complexity of solutions, these operators are dealing with a wide range of installation scenarios, specific to the products or services they offer.

Purpose-built edge systems, such as Supermicro’s Fanless servers powered by Intel® Xeon D® processors, provide a secure and rugged platform that can be deployed where conventional servers cannot. These systems, along with our broad portfolio of short-depth rackmount systems, can be combined with the Reliant Platform by Acumera, a secure, cost-effective, and central cloud managed solution to automate delivery and management of applications, networking, and security controls either in-store or in the cloud.

Join this webinar to hear how these solutions are currently employed across thousands of locations, simplifying Edge IT for many major retailers today. Speakers will include David Nielsen, Sr. System Product Manager for IoT and Edge Applications, Richard Newman and Brett Stewart, Technology Leaders at Acumera, as well as Craig Carter, Product Line Manager from Intel to discuss the latest generation of the Xeon D platform.

Tackling Retail Technology Management Challenges at the Edge

Edge applications today require strong networks and connections to core data center products. Supermicro’s Twin systems deliver performance from the edge to the core or cloud data center and leverage our latest content delivery network (CDN) technologies.
 
Join this webinar to learn about the different Supermicro CDN technologies that support Edge Computing based on 3GPP standards and have proven successful for our customers. Product experts will also discuss the importance of an elastic CDN to optimize the availability of resources for low-latency and high-bandwidth applications and share an introduction to our new GrandTwin® server.

AMD EPYC™ 7003 Processors with AMD 3D V-Cache™ technology are raising the bar once more for breakthrough performance on targeted technical computing workloads like Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and Finite Element Analysis (FEA) software and solutions, helping optimize performance to accelerate the development of new products and technologies. 

Delivering breakthrough performance per core and helping lower TCO while accelerating product development. Socket compatible with existing 3rd Gen AMD EPYC platforms, these new processors with AMD 3D V-Cache work with existing software solutions to get up and running quickly, to help drive better, energy-efficient business outcomes with the confidence of modern security.

Attend and learn about Supermicro systems with AMD EPYC™ 7003 Processors with AMD 3D V-Cache™ technology and how to be successful.

Delivering Breakthrough Performance Per Core with AMD EPYC

The number of internet-connected devices is growing exponentially, enabling an increasing number of edge applications in environments such as smart cities, retail, and industry 4.0. These intelligent solutions often require processing large amounts of data, running models to enable image recognition, predictive analytics, autonomous systems, and more. Increasing system workloads and data processing capacity at the edge is essential to minimize latency, improve responsiveness, and reduce network traffic back to data centers. Purpose-built systems such as Supermicro’s short-depth, multi-node SuperEdge, powered by 3rd Gen Intel® Xeon® Scalable processors, increase compute and I/O density at the edge and enable businesses to further accelerate innovation.

Join this webinar to discover new insights in edge-to-cloud infrastructures and learn how Supermicro SuperEdge multi-node solutions leverage data center scale, performance, and efficiency for 5G, IoT, and Edge applications.

Accelerating Innovation from Edge to Cloud

Just as cloud-native, virtualized 5G networks continue to bring tremendous benefits in bandwidth connectivity, they also reduce environmental costs compared to previous network technologies.

This webinar will explain how zero-touch provisioning allows the new RAN and core, based on Commercial-Off-The-Shelf (COTS) hardware and containerized software, to be configured and upgraded remotely. This drastically reduces the number of costly technician visits.

Supermicro will also detail developments in 5G networks and edge computing, powered by the industry’s broadest portfolio of systems supporting 3rd Gen Intel® Xeon® Scalable processors. These high-performance infrastructures enable smarter cities, stores, and factories, increasing efficiency in the production of goods and services.

Additionally, we will examine how modular system upgrades and re-purposing of equipment eliminate significant amounts of e-waste.

5G Networks and Edge Computing for a Greener World

In this webinar, we will discuss how high-capacity Top-Loading Storage systems are being used for enterprise and cloud scale applications and will identify the key features of the modular architecture for use in today’s software defined storage (SDS) environments.

High-Density Top-Loading Storage for Cloud Scale Applications

Solution: Red Hat OpenShift Data Foundation & SMCI Servers

Leveraging Intel® Optane Technology with VMware Cloud Foundation

Software Defined Storage for Data Protection

What Enterprises Need to Know When Deploying Container Based Environments

Software-Defined Durability, Protection and Availability at Massive Scale

The Speed of RAID Fused with the Scale of Object

Hybrid Cloud Deployment

How Software-Defined Storage Supports IT Infrastructure Modernization

Worlds fastest File System for HPC, AI and Machine Learning

Solving I/O Bottleneck with DAOS and PMEM

Software Defined Storage Demystified

Orchestrating Data Storage to Enable New Performance & Cost/Performance Profiles

How Hardware Enhancements Drive Software-Defined Storage Improvements

Innovations and Software-Defined Storage Solutions

Open Storage Summit 2021

Overview of a typical scale-out solution using high-density Supermicro nodes
Overview of a typical scale-up solution using SBB Supermicro nodes
Overview of pros/cons of using scale-up vs scale-out and what use cases best fit which hardware architecture

Speaker:
Steven Umbehocker, Founder & CEO, OSNEXUS
Sherry Lin, Solution Product Manager, Supermicro

QuantaStor™ Software-Defined Storage Solution

Data Center

Storage

Server Storage

Cloud

Hyper Converged

NVMe

SSDs

Scale Out

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QuantaStor™ Software-Defined Storage Solution

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