SNIAVideo
Q&A Podcast for From Data to Decisions: Understanding How AI Models Learn
updated
In this webinar, Jonmichael Hands, vice president, Storage Business Development, Chia Network, will explain the “proof of space and time” (storage capacity) concept that is the foundation of the Chia network, and why SAS is a great technology for farming Chia. He will also discuss the difference between Chia plotting and farming and how they are carried out with the use of storage devices.
The webinar will be moderated by Cameron Brett (SNIA STA Forum). SAS is the leading storage interface used in enterprise servers and storage deployments in data centers.
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• Don Jeanette, TRENDFOCUS, a leading storage market analyst;
• Patrick Kennedy, ServeTheHome, a prominent storage & server market influencer; and
• Rick Kutcipal, SCSI Trade Association & Broadcom, a storage industry veteran expert.
We will be talking about trends in the storage market specifically around hyperscale environment platforms, EDSFF, data protection, the role of DPUs, security, and more. Hear about applications driving those trends, and market data supporting the idea exchange.
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enjoy a roundtable talk where you'll have the unique opportunity to see and hear a leading marketing analyst, an editor-in-chief of a prominent trade publication, and a data storage expert discuss prominent data storage technologies shaping the market.
With the massive growth in digital data volume that's led to an increased demand for secure, reliable, and cost-efficient storage infrastructure, it's critical to understand the key technologies influencing the market. From SSDs and HDDs to storage interfaces and All-Flash Arrays, get the latest information you need to shape key strategic directions and remain competitive. Reserve your spot today!
Learn More:
SNIA Website: snia.org
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SCSI Trade Association (STA Forum): snia.org/sta-forum
Twitter: twitter.com/SNIA
LinkedIn: linkedin.com/company/snia
In one corner, we have Cameron Brett (Chair, SNIA STA Forum) representing Serial Attached SCSI (SAS). The 30-year market incumbent, SAS is the dominant storage interface used in enterprise servers and storage deployments in data centers.
In the other corner, we have Jonmichael Hands (NVM Express™ Marketing Workgroup co-chair) representing the NVM Express interface. NVMe is a high-performance and latency-optimized protocol built from the ground up for non-volatile memories deployed on a PCI Express® bus. NVMe SSDs are the up-and-coming challenger for data center dominance.
Refereed by Don Jeanette, Vice President, TRENDFOCUS, this lively discussion will cover an overview of each interface and punch down into the benefits and features of each. Is there enough room in the data center for both? Or can there be only one?
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Hyperscale companies need to be able to carefully manage their storage infrastructure from a global perspective in a cost-effective way. During this presentation, Jeremiah Tussey (Vice Chair, SNIA STA Forum) will review the benefits of tiered storage and how the latest features standardized in 24G SAS storage interface technology is helping enterprises store and move data across a range of storage media with different characteristics, such as performance, cost and capacity.
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Learn More:
SNIA Website: snia.org
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SCSI Trade Association (STA Forum): snia.org/sta-forum
Twitter: twitter.com/SNIA
LinkedIn: linkedin.com/company/snia
Expert presenters Rick Kutcipal and Tim Symons, with decades of experience in the storage industry, will discuss the benefits of SAS and the recent enhancements designed to reach new application performance levels. No one can deny that SAS has set the bar with its inherent scalability and flexibility in modern data center, server and storage topologies.
In this webcast you will learn about recent evolutions in SAS enterprise features including 24G SAS and what they mean to system designers:
• 2.4 GB/s effective single-lane bandwidth (22.5 Gbaud rate)
• Unmatched Scalability and Reach
• 20-bit Forward Error Correction for more robust reliability
• Enhanced transmitter training algorithm for better signal integrity
• System-level manageability
• Fairness enhancements for performance consistency across protocol
topologies
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SNIA Website: snia.org
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SCSI Trade Association (STA Forum): snia.org/sta-forum
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LinkedIn: linkedin.com/company/snia
Learn More:
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SNIA Educational Library: snia.org/library
SCSI Trade Association (STA Forum): snia.org/sta-forum
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Learn from Dennis Martin (Senior Analyst, Principled Technologies) and Cameron T. Brett (Chair SNIA SCSI Trade Association Forum) about how 24G SAS technology can satisfy the performance, scalability and capacity required by today’s video streaming, big data, analytics and other business applications. SAS technology can be deployed across multiple storage tiers and supports SSDs with varied endurance and performance levels, as well as low-cost capacity storage.
Learn More:
SNIA Website: snia.org
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SCSI Trade Association (STA Forum): snia.org/sta-forum
Twitter: twitter.com/SNIA
LinkedIn: linkedin.com/company/snia
Learn More:
SNIA Website: snia.org
SNIA Educational Library: snia.org/library
SCSI Trade Association (STA Forum): snia.org/sta-forum
Twitter: twitter.com/SNIA
LinkedIn: linkedin.com/company/snia
Jeremiah Tussey, STA Forum VP and Jeff Mason, STA Board Member will discuss the definition and benefits of SAS and the deployments that are best-suited to take advantage of the fast, flexible, and reliable data access that SAS provides.
In this video you will learn:
• What are SAS and SCSI
• Primary deployments for SAS
• SAS ecosystem, including connectivity solutions
• Storage leaders involved in the development of SAS standards
• SAS benefits and economics
• Comparison of storage protocols: SAS, NVMe, and SATA
• Where SAS is headed: the roadmap
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SNIA Website: snia.org
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SCSI Trade Association (STA Forum): snia.org/sta-forum
Twitter: twitter.com/SNIA
LinkedIn: linkedin.com/company/snia
There’s not a lot of technical information available on 24G SAS, other than reading the specification (which is never easy so reserve your spot today. You be rewarded with a large ‘return-on-investment’ of your valuable time, including the opportunity to ask questions in the chat box, which will be answered live on the webinar.
Mike will cover what’s new in 24G SAS, and how to test it, including:
-“Packet-Mode” Structures
- Forward Error Correction (FEC)
- Active Phy Transmitter Adjustment (APTA)
- Persistent Connections
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SNIA Website: snia.org
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LinkedIn: linkedin.com/company/snia
• Different types of data sources for data fabric integration
• Unification of structured and unstructured data sources into the data fabric
• How to simplify data access by virtually connecting data end points across a hybrid cloud landscape
• Providing automatic enrichment leveraging AI to contextualize data with semantics and knowledge
• Apply global and automated data governance and data privacy policy enforcement for increased data protection and quality
Presented by Joseph Dain, IBM; Michael Hoard, Intel
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In this webinar, we will provide an overview of the importance of enterprise decentralized storage and why it is more relevant now than ever before. We will delve into the benefits and demand of decentralized storage and discuss the evolution of on-premises to cloud to decentralized storage (cloud 2.0). We will explore decentralized storage use cases, including its role in data privacy and security and the potential for decentralized applications (dApps) and blockchain technology.
Presented by Stefaan Vervaet, Protocol Labs; Rafal Szczesniak, Dell; Joseph White, Dell; Shawn Flynn, The Silicon Valley Podcast
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DMTF, SNIA, the OFA, and the CXL™ Consortium are working together to provide elements of the overall solution, with Redfish® and SNIA Swordfish™ manageability providing the standards-based interface. OFA is developing an OpenFabrics Management Framework (OFMF) designed for configuring fabric interconnects and managing composable disaggregated resources in dynamic High Performance Computing (HPC) infrastructures using client-friendly abstractions.
In this webinar, attendees will understand how use cases for scaling management of storage and fabrics and beyond are addressed in these architectures, and the applicability to additional technologies.
Presented by Richelle Ahlvers, Vice Chair, SNIA Board of Directors, Intel; Phil Cayton, OpenFabrics Alliance Vice Chair, Intel
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Adding additional virtualization and acceleration technologies presents more flexibility and options to build a custom configuration but doing so increases the management challenges exponentially. With the proliferation of different technologies and multiple vendors, standards-based management is more critical than ever to successfully develop, integrate, deploy, and manage systems and storage at scale.
This session will provide an overview of:
- The latest technologies in storage for virtualization, acceleration, and fabrics
- The organizations delivering standards-based management
- A discussion of open-source projects delivering value-add using standards-based management
Presented by Richelle Ahlvers, Vice Chair, SNIA Board of Directors & Chair, SNIA Storage Management Initiative
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UCIe is an open industry standard with a fully specified stack that comprehends plug-and-play interoperability of chiplets on a package; similar to the seamless interoperability on board with well-established and successful off-package interconnect standards such PCI Express®, Universal Serial Bus (USB)®, and Compute Express Link (CXL)®. In this talk, we will discuss the usages and key metrics associated with different technology choices. We will also delve into the different layers as well as the software model along with the compliance and interoperability mechanisms.
Presented by Dr. Debendra Das Sharma, UCIe Consortium
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UCIe is an open industry standard with a fully specified stack that comprehends plug-and-play interoperability of chiplets on a package; similar to the seamless interoperability on board with well-established and successful off-package interconnect standards such PCI Express®, Universal Serial Bus (USB)®, and Compute Express Link (CXL)®. In this talk, we will discuss the usages and key metrics associated with different technology choices. We will also delve into the different layers as well as the software model along with the compliance and interoperability mechanisms.
Presented by Stephen Bates, Huawei
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SNIA Compute+Memory+Storage Summit: snia.org/cms-summit
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Where do companies see the industry going with regard to persistent memory? With the improvement of SSD and DRAM I/O over CXL, the overlap of CXL and NVMe, high density persistent memory, and memory-semantic SSDs, there is a lot to talk about! Our moderator and panel of experts from Intel, Samsung, and SMART Modular will widen the lens on persistent memory, take a system level approach, and see how the persistent memory landscape is being redefined.
Moderated by Dave Eggleston, Intuitive Cognition Consulting
Panelsts: Andy Mills, SMART Modular; Pekon Gupta, Intel; David McIntyre, Samsung
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The accelerator can be attached inside a CPU in the tightly attached configuration, allowing firmware to use special register reads and writes for the management interface, polling or interrupts for the completion interface, and the CPU’s coherent memory subsystem for I/O or memory accesses. No additional RISC-V instructions are needed to operate the accelerator, only custom special register addresses. Alternatively, the accelerator can be attached to the SOC interconnect in the closely attached configuration, which allows it to participate in a coherency protocol, such as AXI or CHI, as a non-caching node. Memory mapped register reads and writes are used to configure the management interface, and I/O or memory read and write requests are initiated, and data fills and responses received via the memory interface.
The accelerator adds support for separate processing threads, each of which can be allocated to separate storage devices, by providing a special register bank per thread which can be accessed via the management interface. Both design and run time configurability of the number of compute pipes associated with a thread are provided to allow reallocation of resources in a dynamic runtime environment. The number of channels in the memory interface is design time configurable to allow tuning of memory versus compute bandwidth for a particular system.The design is currently in development using Verilog, and is fully synthesizable to support soft IP integration into an SOC, or mapping to an FPGA. The goal is to support the most commonly used cryptographic protocols from TLS 1.3 including AES-128/256, SHA-256/512 as well as AES-GCM 128/256. The hardware accelerator can be used to improve throughput and power efficiency relative to firmware based solutions, which may be using the RISC-V crypto instruction set extensions (ISEs), running on the microcontroller.
Presented by Kelvin Goveas, Azimuth Technology
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Presented by Sudhir Balasubramanian, VMware and Arvind Jagannath, VMware
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Presented by Jayasankar OP, Samsung Electronics and Arun V Pillai, Samsung Electronics
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Learn More:
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Presented by Tao Lu, DapuStor Corporation
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CXL 3.0 doubles the transfer rate to 64GT/s with no additional latency over previous generations and introduces fabric capabilities and management, improved memory sharing and memory pooling, enhanced coherency, and peer-to-peer communication.
This presentation will explore the new features in the CXL 3.0 specification, highlight the enhancements to memory pooling to optimize server performance, and introduce the concept of memory sharing to enable clusters of machines to solve large problems through shared memory constructs.
Presented by Andy Rudoff, Intel
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Presented by Paul Suhler, IEEE Security in Storage Work Group
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We are prototyping a computational storage system (CSS) that adopts a database perspective to utilize computational storage devices (CSx). We discuss our approach, "decomposable queries," for passing a portion of a query plan (sub-plan) down a hierarchy of CSx and allowing each device to dynamically determine how much of the sub-plan to propagate and execute. We briefly describe microbenchmarks used to evaluate aspects of our initial progress for a bioinformatics use case, from which we observed unexpected slowdowns on our CSDs (Seagate's research-only KV drives). We then explain how decomposable queries will allow our prototype CSS to transparently benefit from future improvements to CSx and accommodate new types of CSx, and how these are two capabilities are necessary for deployment of CSx in production.
Presented by Aldrin Montana, University Of California, Santa Cruz
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Recently, CXL Consortium members showcased public demonstrations of CXL at industry events, proving to the industry that CXL’s vision to enable a new ecosystem of high-performance, heterogeneous computing is now a reality. There were also multi-vendor demos to illustrate interoperability between vendor solutions.
As the industry sees more CXL products getting released into the market and with the completion of the CXL Consortium FYI compliance event, this presentation will feature a panel of experts that will discuss the type of CXL product devices that are currently available today and the CXL devices we expect to see in the next year. The panelists will also examine the new features in the CXL 3.0 specification and the usage models it will enable.
Presented by Kurtis Bowman, CXL Consortium
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In this presentation we will take a look at how we can add compute capability to CXL memory devices. We will look at offloading operations like data analytics, and also telemetry functions like hotness tracking.
Presented by Mats Öberg, Marvell
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Presented by Bill Martin, Samsung Semiconductor and Kim Malone, Intel Corporation
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This session highlights the primary focus areas for Zero Trust activities and provides an overview of key lessons learned from early adopters of zero trust security.
Presented by Chris Willman
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SNIA Compute+Memory+Storage Summit: snia.org/cms-summit
SNIA Website: snia.org
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Twitter: twitter.com/SNIA
LinkedIn: linkedin.com/company/snia
Learn More:
SNIA Compute+Memory+Storage Summit: snia.org/cms-summit
SNIA Website: snia.org
SNIA Educational Library: snia.org/library
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LinkedIn: linkedin.com/company/snia
Having dependency on a database increases the computational requirements for searching images on low compute storage devices like SSDs. Further Since every database uses its own query language, the performance of the image retrieval framework is highly dependent on how efficient these queries are written.
Learn how to design an embedded machine learning standard framework inside SSD using an advanced transformer model to convert analytics from various deep learning approaches to uniform embedding format suitable for fast and accurate image retrieval. Any form of analytics (tag, sentence, paragraph, triplets) will be converted into a N-dimensional vector. For faster lookup on SSD, the framework stores the extracted N-dimensional vectors as an index tree and processes the user queries also as a N-dimensional vector by feeding the user input to SBERT transformer model.
Learn framework more as in how to design an interface to capture the intent behind a user query using clustering techniques. For ex. “woman riding a bike” and “Girl driving a scooter” have the same intent, the intent based interface increases image search accuracy with low number of false positives.
Presented by Vishwas Saxena, Western Digital
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Twitter: twitter.com/SNIA
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The National Institute of Standards and Technology (NIST) introduced the concept of cyber recovery in NIST SP 800-209 as something distinct from more traditional data protection mechanisms like backups. This session explores key aspects of cyber recovery solutions and outlines scenarios where they can be most effective.Presented by Jim Shook, Dell
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Emerging AI and data analytics workloads are increasingly becoming important for HPC architectures because HPC clusters provide computation capabilities needed at scale; however a divide still exists between traditional HPC, AI, and data analytics applications, because the three communities use very different programming models. The architecture leverages emerging hardware capabilities such as CXL along with ideas from both HPC and high performance data analytics software to support AI and data analytics on HPC clusters. This presentation will cover the architecture, the software stack and its value using a use case: an Arkouda-based proxy application for real-time data analytics.
Presented by Clarete Riana Crasta, Hewlett Packard Enterprise
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Presented by Vince Hache, Rambus
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Focusing on data-centric computing, we will discuss the need to integrate compute, data, and I/O acceleration closely with storage systems and data nodes. This approach can provide a highly efficient engine for data-heavy applications, such as training large language models, supporting the metaverse in next-generation data centers, and enabling edge computing. By addressing the requirements for low latency and high bandwidth services, this strategy helps tackle the coexistence of "big" and "fast" data challenges.
Steven Yuan, Founder and CEO, StorageX.ai
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Presented by Bill Martin, Samsung Semiconductor and Jason Molgaard, Solidigm
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Presented by Oscar Pinto, Samsung Semiconductor
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Presented by Shreyas Shah, Elastics.Cloud
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Presented by Jake Oshins, Microsoft
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Presented by Andy Walls, IBM Corporation
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This session runs you through a demonstration of simulating a storage system and running a series of sample data sets on it.
Wrap this up with a success story of using these simulations, and you won't want to miss this session.
Presented by Andy Banta, Magnition
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Presented by Jim Handy, Objective Analysis and Tom Coughlin, Coughlin Associates
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Presented by JB Baker, ScaleFlux
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Presented by Eric Hibbard, Samsung Semiconductor Inc.
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Presented by David McIntyre, Samsung Corporation
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