Traditional Computing and Analytics A new need to source new data science talent, maintain currency and up to date skills sets in a rapidly changing software environment
and Analytics A new need to ingest high volume data from broad sources through a variety of ingest methods at rates well beyond traditional computing requirements
environments, applying end-to-end parallelism to data movement. Today, the universe of supercomputing has expanded rapidly to incorporate AI, advanced data analytics, and cloud computing. The era of serial data is coming to a close. The next era has begun. DDN is powering the next Era of Data Centric Computing
storage cannot. We make data environments for the innovators of our time so that they can see and create the future. DDN is the de facto name for AI storage in high-performance environments - Marc Hamilton, NVIDIA “ ”
healthcare researchers in the U.K. a powerful new tool to take on medicine’s toughest problems. Cambridge-1 is Powered by DDN A3I. THE UK’S MOST POWERFUL SUPERCOMPUTER HAS GONE LIVE, WITH POTENTIAL TO TRANSFORM AI-BASED HEALTHCARE RESEARCH - ZDNET “ ”
accelerating the pipeline with new levels of AI capability. MANAGING OUR AT- SCALE DATA NEEDS REQUIRES FAST INGEST, OPTIMIZED PROCESSING AND REDUCED APPLICATION RUN TIMES - Kris Howard, Recursion. “ ”
Streamline concurrent and continuous workflows Secure No-Silo Approach with advanced Workload Insight Tight AI integration optimized performance, proven at Scale Scale Economically with Super Fast ingest
To Full-Blown Hyperscale Supercomputing Improve data governance and collaboration by quickly delivering AI and Analytics infrastructure to a risk averse large securities services company. Helping the US's largest children’s hospitals accelerate cancer research and treatment through optimized AI data management and performance. Enabling hyperscale natural language processing at one of the world’s largest enterprise software companies.
the Right Partner with Enterprise and AI Experience • More Accurate Real Time Insight From Data For a Competitive Edge • Simple Deployment of Flexible, Distributed Data Management Solutions That Address All Parts of the Data Lifecycle How is DDN Changing the Game for At-Scale Data? By Meeting the Converging Customer Requirements
though proprietary blood tests, massive datasets and advanced analytics. • Use bioinformatics and HPC to analyze sequenced genome data from liquid biopsy. Their data challenge • Require performance AND reliability • Previous systems experienced tremendous hardware failures The DDN Solution • Parallel file system storage as a fully managed service • Benefits: Evergreen, capacity and performance on demand, opex model AIaaS - Transforming Cancer Care With Managed Services DDN As A Service for Precision Oncology
for a Global Financial Services and Venture Firm What the Customer Does • Mathematics and programming-centric financial organization who brings a scientific approach to financial products. • Use bioinformatics and HPC to analyze sequenced genome data from liquid biopsy. Their data challenge • Metadata heavy applications challenged existing NFS-based storage performance • 50+ PB dataset presented a management challenge with existing systems The DDN Solution • Efficient performance from fewer systems – easier to manage and scale in the future • Our consultative approach and insight into data helped them determine and address their specific issues
universal resource What the Customer Does • Large California university life sciences research organization • Supply storage and data management to a wide variety of projects and requirements Their data challenge • Prior system was homegrown, and self supported • Scale, performance and stability needs out-grew current capabilities The DDN Solution • Simplified and reliable infrastructure with a roadmap for growth and added capability • Easy access for researchers, no need to change workflows • Plans to further accelerate research with GPU clusters aided by DDN expertise
of machine-generated data. • Rapid data growth has weakened the ability to meet the needs of data scientists and researchers • Insufficient CPU and GPU performance for data- intensive workloads Data stages require: • Container support for SAN and NAS • Block storage for reference databases • Nearline data archive • Landing for high data-rate instruments Challenges Solution Advantage Simple, Integrated AI Solutions • DDN offers a simple yet complete platform for each stage of data management lifecycle • Accelerates discovery and time-to-market with higher performance, scalability and efficiency • Deep application understanding, experience in streamlining deep learning (DL) workflows for greater productivity. With: • CSI drivers for block and file • Low-latency block (for FC and iSCSI protocols) • High-capacity, cost-effective NAS • Fast, native SMB support
Directories and Containers Space Efficient, Fast Flexible Backup and Archive Integrated Data Management Optimized End-to-End Enterprise AI Data Architecture Integrated Data Management: • All the benefits of DDN performance • Easy access interactive usage for user pre- and post-processing, compilations, file editing • Holistic support for containerized apps with file and block CSI drivers • Enterprise data protection features • Total data lifecycle management to cost-efficient deduplication on compression enabled archive. Complete AI Data Management from One Experienced Vendor
New UI foundations - “Adobe Flex/Flash free • LLDP/CDP • Renewal of FIPS validation on new models • Caught up all ecosystem – vSphere, vROPs, vRO, SRM, and other Hypervisors integrations • New RBAC role for UI, API, and PowerShell Toolkit • NFSv4.1 - beta Tintri VMStore - 2021 Year in Review - Highlights
Control • Simplified Software Lifecycle Management • Health and Performance Visualization Install The Fastest Systems in the world in Under 15 Minutes with DDN’s new Management Framework (EMF) Q3’21
the AI Compute Environment • Transparent to users • Brings new Efficiencies for the Whole Environment (GPU, Network and Storage) More Efficiency, More Acceleration - Hot Nodes Q3’21
Workloads?? Other storage systems can’t see which workloads are accessing and exercising the filesystem. See Applications and Users in Real Time NGC Q1’21
Archive DDN DataFlow End-to-End Solutions from the Leaders in At-Scale Complete new IntelliFlash Portfolio to complement DDN A3I • One Partner to Help Manage Your Entire Data Infrastructure • Best in Class Speed, Capacity and Enterprise Features/Protocols • Data Management integrating Backup and Archive, Cloud Sync Q3’21
Scale Linearly with 90GB/s NVMe Building Block Appliances Scale Up with Best Price/PB Up to 6.4PB per Appliance (and Up to 18PB in Q3 2022) New Right Size Solutions for Flexible Scaling and Tiering DDN Scales Up and Scales Out Exactly as You Need It Q4’21
Continued Evolution of NexentaStor for our Telco Markets • Additional Focus on our Successful Telco SW-Defined Business • Robust and complete Storage Services for the Edge
Of Solutions, Technologies, And The Global Presence To Help Organizations Be More Successful In All Things Having To Do With Data! Expertise in Deploying the Right Solutions for the Right Use Cases At Scale - A Robust and Comprehensive Product Portfolio - End to End Global Data Management Solutions - Safe and Optimized Digital Transformation Expertise - Edge and Core, Cloud and On Prem, Performance and Archive Solutions
Workflow Microservices • AIOPS – Automated QOS and resource allocation. • Reduce complexity • OS ‘free’ with K8s • AIOPS integration • Greatly simplified k8s deployment • Advanced workflow analytics for AI/HPC data lake type deployments • AI/ML training modules • AIOPS integration with workflows and analysis • All in on Microservices
20+ years' experience across key verticals communicating brand value and building influence with stakeholders from the C-suite to Wall Street • Track record of successfully designing, developing and implementing category-creating strategies Introducing Meredyth Jensen • Previous role: SVP, Corporate Marketing and Brand Communications at RGP (NASDAQ: RGP) where she was responsible for enterprise brand strategy, digital strategy, content marketing, PR, executive communications, event marketing, partner marketing, product marketing and thought leadership programs. Announcement: Jan. 27 @ 9 a.m. ET No embargo
Do More With Less: maximize hardware utilization • Data Storage Efficiency: in-memory and on-disk • Repurpose existing hardware compute nodes • Designed to make best use of existing & new storage systems • Predictability in results