More Data Sources than Ever Ingest rates are increasing by 100x Higher Performance Demands GPUs increase data rates by 100x Sharing Data Across all Stages Need for secure sharing with Zero Silos What are your AI plans? Of businesses believe AI is a strategic priority ~ Forbes Of business leaders believe ML and AI are their most important data-driven initiatives. ~ O’Reilly Media Of firms say AI is becoming a mainstream technology for them ~ PWC Of CEOs say AI solutions have already improved productivity ~ PWC PLANS VS REALITY ONLY 40% Of AI adopters report suboptimal data practices. LESS THAN 50% Make it from pilot to production. What does successful AI data management require? Smart Annual data growth is 50%. ~ 90% of AI data is unstructured. You need scale to handle volume… Doing More 70% of firms want to modernize IT. But budgets are growing by only 10%. The IT skills gap is growing much faster. You need to process AI data faster…and automate processing itself Faster Innovation and Results 89% of IT leaders say data silos slow down innovation You need to integrate all stages of AI data lifecycle… and consolidate mixed data and protocols for faster results Businesses need solutions that can optimize all stages of the AI data journey We’re used to seeing these stages for AI data, where parallel file systems are critical and data is largely unstructured. AI ingest Capture data from multiple sources. Many-to-one reads. AI labeling Identify, classify, and add meaning across interactive data. AI learning Provide high-throughput, fast reads across millions of files. AI inference Correlate learnings to arrive at optimal decisions. Home Directories Interactive file workloads Containerized Apps Virtualized file and block workloads Databases Low-latency block workloads Backup / Archive Fast, scalable NAS But broad AI adoption adds workloads that rely on non-parallel file systems Beyond parallel file services, the expansion of AI into Life Sciences, Financial Services and other commercial markets has increased demand for additional workloads. Demand for advanced enterprise data services – such as integrated data protection and data reduction. These workloads are using both structured and unstructured data. But broad AI adoption adds workloads that rely on non-parallel file systems Beyond parallel file services, the expansion of AI into Life Sciences, Financial Services and other commercial markets has increased demand for additional workloads. Demand for advanced enterprise data services – such as integrated data protection and data reduction. These workloads are using both structured and unstructured data. Home Directories Interactive file workloads Containerized Apps Virtualized file and block workloads Databases Low-latency block workloads Backup / Archive Fast, scalable NAS How can WE help you manage AI data? Collect and access data faster than ever On-premises and in the cloud. DDN drives 70% of the world’s largest supercomputers. How can WE help you manage AI data? REMOVE AI DATA MANAGEMENT RISK Expertise, simplicity, stability at any scale. " DDN IS THE DE-fACTO NAME FOR AI STORAGE IN HIGH-PERFORMANCE ENVIRONMENTS ~ Marc Hamilton | Head of Enterprise Computing | NVIDIA " How can enterprise DATA services help you manage AI data? Simplify cross-protocol integration. NFS and SMB One DDN system Deploy enterprise-grade data services. Data availability, protection, security One DDN license Consolidate more data. Reduce TCO by up to 80% One DDN appliance How the commercialization The AI data lifecycle now spans Core to Edge. All need be optimized and work together simultaneously on shared data services. Protocol File and block DATA STATE Static and Dynamic Data Collaboration Batch and Interactive APP TYPE Native and Virtualized IO LOAD Read and Write Intensive DDN Solution for Life Sciences Data Best of High-Performance and Enterprise Data Services Parallel File System Enterprise Data Services (file and block) Power & Scale CSI Drivers for File and Block High Capacity NAS Low-latency Block Native SMB Support GPU-Intensive Workloads Container Storage Reference Databases Genomics Data Archive High Data Rate Instruments Fast, flexible data movement THE Complete, Integrated Research and Life Sciences Data Platform Supports entire data lifecycle. Each stage and data type Fast discovery, time-to-market. Performance at any scale Higher Productivity. Faster AI apps, DL workflows Simplified AI data management With a single-rack solution that delivers consistent power at multi-petabyte scale and meets critical multiprotocol workload requirements. What workloads benefit You can accelerate time-to-market, reduce complexity and enhance data value across multiple workloads. Keep AI data management simple, smart and strong ONE Technology to move AI data between any lifecycle stage. ONE Partner for all your AI data requirements. ONE Rack to manage your entire data lifecycle. ONE Platform architecture for all AI data. ONE License for all enterprise features and upgrades. NONE Resource impact from data reduction or data security. NONE Cost for data protection. NONE Cost for integrated 24/7 support. Speak to a Member of Our Team Today!
How is AI changing enterprise computing?
83%
61%
86%
54%
Scaling
and technology to reduce volume
with Less
for NAS and SAN, virtualized and native apps, NVMe and HDD media
for ALL features – the latest enterprise data services today and in the future
to run multiprotocol workloads concurrently – without any compromises
of AI changes data
lifecycle needs
from a complete AI data solution?
UNLEASH THE POWER
OF YOUR AI DATA
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