SIMPLE ARTIFICIAL INTELLIGENCE STORAGE AT ANY SCALE
It is fair to say that not all data storage is created equal.
AI storage requires an infrastructure that is built to accommodate AI workflows. A data center designed with these unique needs in mind provides faster data processing, greater throughput, and quicker time to insight.
Data storage systems that are not designed for the complexities of AI workflows can impair time to insights and become a costly mistake. Getting into production is virtually impossible when commodity storage is paired with high performance applications, this causes:
Impaired Insights
Complex Deployment
Decentralized Data Governance
Latency and Restricted Throughput
5 of the Most Common AI Deployment & Scaling Challenges
and How To Solve Them
In this guide, we tackle the top 5 challenges enterprises face and help you prepare, or troubleshoot, your current AI deployment strategy.
ACCELERATE PERFORMANCE AND INSIGHTS FOR AI
DDN, the overall market leader in AI and HPC at scale, provides AI Storage Solutions that deliver rapid time to insights without compromising on costs and performance.
- Simplified & Accelerated Deployment: Providing faster time to insights and to market with proven reference architectures
- Intelligent Monitoring: Control and visibility of storage workloads and end-to-end data paths
- Comprehensive Insights and Data Availability: Unlocks efficiency for faster time to results
- Superior Scalability: Delivering cost savings
- Unmatched Performance: Up to 10x faster throughput
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Accelerating innovation with Artificial Intelligence Storage
I have a very simple statement for you; NVIDIA uses DDN.
~ Manuvir Das | Head of Enterprise Computing | NVIDIA
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UNLEASH THE POWER
OF YOUR AI DATA
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