ClusterStor 1500 Departmental Scale-Out Storage for HPC

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In this presentation, Ken Claffey from Xyratex describes the company's new ClusterStor 1500 storage appliance. Designed for scale-out HPC storage solutions, the ClusterStor 1500 delivers HPC performance and efficiency with help from the Lustre file system. Departments within larger organizations or medium-sized enterprises today, especially in the commercial, academic and government sectors, represent an underserved market. They need high-performance and scalable storage solutions that are cost-efficient, easy to deploy and manage and reliable even under heavy workloads,” said Ken Claffey, senior vice president of the ClusterStor business at Xyratex. “Growth in this market segment is being driven by the increasing adoption of simulation applications in a wide range of industries from car and aircraft design to chemical interactions and financial modeling. Traditional enterprise storage systems are simply not designed to meet the performance needs of these applications, so we engineered and built the affordable and modular ClusterStor 1500 to bring the performance power of Lustre to this underserved and growing market in the way that only ClusterStor can.” With the ability to scale performance from 1.25GB/s to 110GB/s and raw capacity from 42TB to 7.3PB, ClusterStor 1500 is purpose-built to satisfy data intensive department level compute cluster needs, ClusterStor 1500 is designed to provide best in class scale-out storage for middle tier high performance computing environments. The ClusterStor 1500 solution features scale-out storage building blocks, the Lustre parallel filesystem and a comprehensive management platform that eliminates the guesswork usually associated with building and optimizing your own HPC storage solution. Watch the presentation video: http://inside-bigdata.com/slidecast-clusterstor-1500-departmental-scale-out-storage-for-hpc/

Tecnologia Negócios

New Product Launch
ClusterStor™ 1500
Departmental Scale-Out Storage for HPC
April 29, 2013

“Missing Middle”
Widely Distributed Industrial Users – Many Years Underserved
2
Department Level
Critical Mass
Exploding Now!
Middle Market
Shifting from
Vendor Push to
Strong User Pull
*National Center for Manufacturing
Sciences

Previous Barriers
•  Lack of affordable HPC
technology for mid market
•  Too hard to build your own using
piece parts
•  Lack of skills and expertise
•  No time, need results now
•  Lack of scale, proprietary lock in,
too complex
Wide Open
Growth
•  Affordable engineered HPC
solution for mid market
•  Pre-built, optimized and highly
efficient appliance
•  Easy to use with integrated
solution management
•  Out of box ready to use
•  Best of large HPC, packaged for
departmental users
ClusterStor 1500 Resolves Departmental
Capabilities Gap
3

Affordable Lustre® Appliance Opportunity
Lustre Expands Beyond the Top 100
NFS struggles to keep up with departmental 32 node and above sweet spot
4
IDC HPC Storage Market
Segmentation Revenue 2011
$0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800
Workgroup
Departmental
Divisional
Supercomputer
Workgroup Departmental Divisional Supercomputer
$Ms $460 $1,322 $473 $1,657
Up to 16 Nodes
16 to 128 Nodes
> 512 Nodes
128 to 512 Nodes
NFS
Affordable
Easy to Use
Lustre
Appliance
Opportunity-
Lustre
Dominates
Maximum
Scale-Out-
TOP 100

ClusterStor 1500 Features & Benefits
Departmental Scale-Out Storage for HPC and Big Data
5
No compromise best-in-class
affordable departmental
storage
Superior ROI
Works out of the box
with ease of use
Fully integrated solution
visibility and management
Proactive support and
professional services
Investment protection

Purpose Built to Satisfy Department
Level Needs
6
ClusterStor 1500 value for
departmental HPC
– Cost-efficient
– Easy to deploy and manage
– Works out of the box
– Reliable even under heavy workloads
– Highly scalable in performance and
storage capacity to match evolving
compute cluster needs

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

UK Journal

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Slack Application Development 101 Slides

praypatel2

Scaling API-first – The story of a global engineering organization

Radu Cotescu

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

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Delhi Call girls

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

ClusterStor 1500 Departmental Scale-Out Storage for HPC

1. New Product Launch ClusterStor™ 1500 Departmental Scale-Out Storage for HPC April 29, 2013

2. “Missing Middle” Widely Distributed Industrial Users – Many Years Underserved 2 Department Level Critical Mass Exploding Now! Middle Market Shifting from Vendor Push to Strong User Pull *National Center for Manufacturing Sciences

3. Previous Barriers •  Lack of affordable HPC technology for mid market •  Too hard to build your own using piece parts •  Lack of skills and expertise •  No time, need results now •  Lack of scale, proprietary lock in, too complex Wide Open Growth •  Affordable engineered HPC solution for mid market •  Pre-built, optimized and highly efficient appliance •  Easy to use with integrated solution management •  Out of box ready to use •  Best of large HPC, packaged for departmental users ClusterStor 1500 Resolves Departmental Capabilities Gap 3

4. Affordable Lustre® Appliance Opportunity Lustre Expands Beyond the Top 100 NFS struggles to keep up with departmental 32 node and above sweet spot 4 IDC HPC Storage Market Segmentation Revenue 2011 $0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 Workgroup Departmental Divisional Supercomputer Workgroup Departmental Divisional Supercomputer $Ms $460 $1,322 $473 $1,657 Up to 16 Nodes 16 to 128 Nodes > 512 Nodes 128 to 512 Nodes NFS Affordable Easy to Use Lustre Appliance Opportunity- Lustre Dominates Maximum Scale-Out- TOP 100

5. ClusterStor 1500 Features & Benefits Departmental Scale-Out Storage for HPC and Big Data 5 No compromise best-in-class affordable departmental storage Superior ROI Works out of the box with ease of use Fully integrated solution visibility and management Proactive support and professional services Investment protection

6. Purpose Built to Satisfy Department Level Needs 6 ClusterStor 1500 value for departmental HPC – Cost-efficient – Easy to deploy and manage – Works out of the box – Reliable even under heavy workloads – Highly scalable in performance and storage capacity to match evolving compute cluster needs

7. Thank You Ken_Claffey@xyratex.com

ClusterStor 1500 Departmental Scale-Out Storage for HPC

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ClusterStor 1500 Departmental Scale-Out Storage for HPC