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Source document· March 16, 2026

Dell AI Data Platform with NVIDIA Supercharges Enterprise AI with Breakthrough Data Orchestration and Storage Innovations

View original at finance.yahoo.com
Dell AI Data Platform with NVIDIA Supercharges Enterprise AI with Breakthrough Data Orchestration and Storage Innovations Dell AI Data Platform with NVIDIA advancements automate the complete AI data lifecycle and deliver extreme AI storage performance for demanding agentic AI workloads Dell Technologies will support al…
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What we drew from this source

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  • The shift to autonomous agents requires a fundamentally different approach to data infrastructure, with automated orchestration, AI-native storage and GPU-optimized performance architected to work together

    60% confidence
  • Dell Lightning File System delivers up to 2X greater throughput per rack unit than competing parallel file systems

    60% confidence
  • Dell Lightning File System is the world's fastest parallel file system

    60% confidence
  • The shift to autonomous agents requires a fundamentally different approach to data infrastructure, with automated orchestration, AI-native storage and GPU-optimized performance architected to work together

    60% confidence
  • NVIDIA CUDA-X libraries deliver up to 3x faster SQL queries and 12x faster vector indexing

    60% confidence
  • Dell Exascale Storage delivers read performance up to 6TB/second per rack

    60% confidence
  • Dell Lightning File System delivers up to 2X greater throughput per rack unit than competing parallel file systems

    60% confidence
  • Dell PowerScale's pNFS architecture delivers up to 6X faster performance with large files in enterprise AI environments compared to NFSv3

    60% confidence
  • Early adopters of Dell AI Factory see up to 2.6x ROI within the first year

    60% confidence
  • NVIDIA GPU-accelerated vector indexing delivers 12x faster performance

    60% confidence
  • AI is rapidly shifting from assistive tools to autonomous, agentic systems, but its effectiveness is constrained by the data it can access, trust and act upon

    60% confidence
  • Early adopters of Dell AI Factory with NVIDIA see up to 2.6x ROI within the first year

    60% confidence
  • Over 4,000 customers are deploying the Dell AI Factory

    60% confidence
  • Dell Lightning File System delivers up to 20X greater performance versus traditional flash-only scale out file competitors

    60% confidence
  • Dell Lightning File System is the world's fastest parallel file system

    60% confidence
  • The number one problem enterprises face when moving AI pilots to production is curating the data they already have and putting it to work

    60% confidence
  • Dell Lightning File System is the world's fastest parallel file system

    60% confidence
  • Dell AI Factory with NVIDIA has over 4,000 customers

    60% confidence
  • Early adopters of Dell AI Factory see up to 2.6x ROI within the first year

    60% confidence
  • The number one problem enterprises face when moving AI pilots to production is curating the data they already have and putting it to work

    60% confidence
  • Dell PowerScale's pNFS architecture delivers up to 6X faster performance with large files in enterprise AI environments compared to NFSv3

    60% confidence
  • The shift to autonomous agents requires a fundamentally different approach to data infrastructure, with automated orchestration, AI-native storage and GPU-optimized performance architected to work together

    60% confidence
  • The number one problem enterprises face when moving AI pilots to production is curating the data they already have and putting it to work

    60% confidence
  • NVIDIA CUDA-X libraries deliver up to 3x faster SQL queries

    60% confidence
  • Dell Lightning File System provides up to 20X greater performance versus traditional flash-only scale out file competitors

    60% confidence
  • Over 4,000 customers are deploying the Dell AI Factory

    60% confidence
  • Dell Lightning File System delivers up to 2X greater throughput per rack unit than competing parallel file systems

    60% confidence
  • NVIDIA CUDA-X libraries deliver up to 3x faster SQL queries and 12x faster vector indexing

    60% confidence
  • Customers see up to 12X faster vector indexing compared to traditional computing approaches

    60% confidence
  • NVIDIA RTX PRO Blackwell Server Edition GPUs enable up to 3x faster SQL queries

    60% confidence

Cited in these Via News reports

What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Agentic AI Rewires Enterprise Software: Platform Incumbents, Governance, and a Funded Startup Wave
Enterprise software is being rebuilt around autonomous AI agents. Incumbents and large platforms (SAP with its Autonomous Suite and Joule, Zeta with AthenaOS/AIM/Athena MCP, Meta with its new Enterprise Platform) are racing to own the agent layer. Meanwhile, seed and Series A money flows to finance-office and vertical startups (Dextr, Latitude, Dentira, Light), and consolidation continues through acquisitions (Tiny–Oso Cloud, Harvey–Guardrails AI). Investor commentary stresses that AI is better at disrupting around the edges of systems of record than at replacing them, that it should not be trusted with finance calculations, and that governance must be enforced by the system rather than left to agents.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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