On Demand Webinars
As applications continue to increase in complexity and users demand more from their workloads, there is a trend to again deploy dedicated accelerator chips to assist or offload the main CPU. These new accelerators (xPUs) have multiple names such as SmartNIC, DPU, IPU, APU, NAPU. How are these different than GPU, TPU, CPU? xPUs accelerate and offload functions including math, networking, storage, cryptography, security, and management. This webcast will cover key topics about, and clarify questions surrounding, xPUs.
The complex and changeable structure of edge computing, together with its network connections, massive real-time data, challenging operating environment, distributed edge cloud collaboration, and other characteristics, create a multitude of security challenges. This panel of experts will explore these challenges and wade into the debate as to whether existing security practices and standards are adequate for this emerging area of computing. Join us for a discussion that will cover:
- Understanding the key security issues associated with edge computing
- Identify potentially relevant standards and industry guidance (e.g., IoT security)
- Offer awareness of new security initiatives focused on edge computing
This presentation will define the data protection landscape particularly in the context of modern cloud-native containerized applications. It describes various constructs and capabilities of these applications thereby articulating data protection challenges. We will also cover different Backup and Recovery solution considerations for scale, performance, optimizations and protection from any ransomware attack.
Data privacy, data governance and data security are all terms that are mistakenly used interchangeably. They are indeed related, particularly when it comes to keeping data in the cloud protected, private and secure, but the definitions and mechanics of executing on each are all quite different.
Join us for another “15 Minutes in the Cloud” session for an overview of what each of these terms means, how and where they intersect, and why it’s a balancing act to pay adequate attention to each one or risk threatening the overall security of your data.
Presenting will be security experts Thomas Rivera, CISSP, CIPP/US, CDPSE and Strategic Success Manager at VMware Carbon Black together with Eric Hibbard, CISSP-ISSAP, ISSMP, ISSEP, CIPP/US, CIPT, CISA, CDPSE, CCSK and Director, Product Planning – Storage Networking & Security, Samsung Semiconductor.
This second webcast in the Storage Life on the Edge series, provides an overview of edge to cloud use cases where storage and compute resources need to be deployed in practical topologies that deliver the very best in application performance. From data analytics and AI inference to emerging IoT edge applications, our panelists will provide a cornucopia of use cases across these categories along with specific, real-world examples.
Digital transformation is driving technology to rapidly evolve towards modernisation of applications with microservices-based architecture being at the core. With the ubiquitous adoption of Kubernetes, cloud-native container technologies are enabling microservices-based application modernization. Such architecture drives the value across the stack and eventually enables business spanning from small-to-medium businesses to large enterprises to be more agile. Such architectural pattern evolution applied across industry vertical drives the need for an infrastructure solution tailor-made for application modernization. In this talk, we present a vendor neutral viewpoint, experiences and observation of the application mordernization trend across the industry and how modern day hyper converged systems are emerging to cater to this growing need.
Everyone is familiar with the term “Cloud” but it’s still worth asking “What is cloud?” It can be defined as “networked computing facilities providing remote data storage and processing services via the internet.” While that definition is simple, the real-world of cloud is complex, and changing constantly.
This first talk in the SNIA Cloud Storage Technologies Initiative “15 Minutes in the Cloud” series will present a brief history of “The Cloud.” If you are a cloud expert, these sessions might not be for you, but for everyone else, this series of short talks might clear up a lot of questions you may have. Join us for a discussion on:
- Common Cloud Terminology
- How all the parts work together
- Why the cloud and what it’s used for
- Example use cases
- SNIA Educational resources on Cloud
Blockchains, cryptocurrency, and the internet of markets are working to transform finance, wealth, safety, digital security, and trust. Storage-based cryptocurrencies had a breakout year in 2021. Proof of Space and Time is a new blockchain consensus that uses storage capacity to secure the blockchain. Decentralized file storage will enable alternatives to hyperscale data centers for hosting files and objects. Understanding the TCO of a storage system and optimizing the utilization of the storage hardware is critical in scaling these systems. Proof of space generation requires temporary compute and ephemeral storage resources. Having compute resources onboard an SSD can allow for local data processing to decrease overall system Total Cost of Ownership (TCO).
Join SNIA members Jonmichael Hands of Chia Network, and Eli Tiomkin of NGD Systems as they discuss how a new approach of auto-plotting SSDs combined with computational storage can lower the total TCO. They will discuss how autoplotting works, provide server use cases that illustrate significant performance/TB gains, and discuss the results based on the SNIA Total Cost of Ownership Mode for Storage. This is a perfect opportunity to learn about the SNIA TCO model with an interactive case study.
As the computational performance of modern supercomputers is approaching the ExaFLOPS level (10**18 floating point operations per second), the demands on the storage systems that feed these supercomputers continue to increase. On top of traditional HPC simulation workloads, more and more supercomputers are also designed to simultaneously satisfy new data centric workflows with very different I/O characteristics.
Through their massive scale-out capabilities, current parallel file systems are more than able to provide the capacity and raw bandwidth that is needed at Exascale. But it can be difficult to achieve high performance for the increasingly complex data access patterns, to manage billions of small files efficiently, and to continuously feed large GPU based systems with the huge datasets that are required in ML/AI workloads.
This webcast will examine the different I/O workflows seen on supercomputers today, discussing the approaches the industry is taking to support the convergence of HPC and AI workflows, and highlighting some of the innovations in both storage hardware and parallel file system software that will enable high performance storage at Exascale and beyond, discussing:
- Overview of typical use cases: Numerical simulation, sensor data ingest and analysis, ML/AI, etc.
- Advancements in HPC storage hardware: From HDDs to storage class memory
- Solution design: HPC storage fabrics, software stacks, heterogeneity, and tiering
- Workflows: How to ensure data is available in the right place at the right moment
- Realities of high-performance storage management – from the perspective of end users and storage administrators
The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications. For example, automated guided vehicle and autonomous mobile robots (AGV/AMRs), wireless cameras, augmented reality for connected workers, and smart sensors across many verticals ranging from healthcare and immersive media, to factory automation.
Using this data, manufacturers are looking to maximize operational efficiency and process optimization by leveraging AI and machine learning. To do that, they need to understand and effectively manage the sources and trustworthiness of timely data.
This presentation will take a deep dive into how:
- Edge can be defined and current state of the industry
- Industrial Edge is being transformed
- 5G and Time-Sensitive Networking (TSN) play a foundational role in Industry 4.0
- The convergence of high-performance wireless connectivity and AI creates new data-intensive use cases
- The right data pipeline layer provides persistent, trustworthy storage from edge to cloud