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Infinia Whitepaper
DDN Infinia gives fluid control of data from edge to core and core to cloud, while maximizing the capabilities of the underlying infrastructure, including storage, network and compute.
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Large Language Models
In this white paper, we take a platform approach to accelerate LLMs and show how GPU, memory, and storage collectively contribute to overall LLM performance.
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The AI Data Factory
Data monetization is now led by market-driven business priorities and outcomes, expressed as measurable results that affect the bottom line.
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Streamlining AI Data Management
For supreme AI data management, the AI data lifecycle needs a clear, continuous flow, both for training of AI models, and for applying AI models to real time decision making.
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How to Build an AI Center of Excellence
Organizations need to adopt a disciplined approach to implementing and measuring the outcomes of AI projects.
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AI Engineering: A New Discipline
AI engineering is an emerging discipline that focuses on applying tools, systems, and processes to enable AI to perform effectively.
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NVIDIA DGX SuperPOD AI400X2
The NVIDIA DGX SuperPOD™ is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure.
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NVIDIA DGX BasePOD A100
The DDN A³I scalable architecture integrates DGX A100 systems with DDN AI shared parallel file storage appliances and delivers fully optimized end-to-end AI, Analytics and HPC workflow.
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Accelerate Artificial Intelligence Initiatives with DDN and NVIDIA at Any Scale
Data now plays such a prominent role in determining business success that 98% of organizations surveyed by ESG are in some phase of data-driven digital transformation.
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Evaluating Infrastructure Options for Enterprise Development
Although the promise and attraction of AI is well appreciated by IT and business decision-makers alike, it’s far less clear how organizations should begin their journey to enterprise-class AI.
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