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News articleYahoo Finance· 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…
Opening lines of the source · Yahoo Finance · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

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

    60% confidence
  • NVIDIA RTX PRO Blackwell Server Edition GPUs with CUDA-X libraries deliver up to 3x faster SQL queries

    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
  • Customers see 19X faster time-to-first-token than traditional computing approaches

    60% confidence
  • Dell AI Factory has over 4,000 customers deploying the solution

    60% confidence
  • Lightning File System delivers up to 150 GB/second per rack

    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
  • 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
  • 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 Exascale Storage is the only 3-in-1 storage built for extreme-scale AI and HPC

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

    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
  • Dell Exascale delivers read performance up to 6TB/second per rack

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

    60% confidence
  • Customers see 3X faster data processing than traditional computing approaches

    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 150 GB/second per rack

    60% confidence
  • Customers see up to 12X faster vector indexing, 3X faster data processing, and 19X faster time-to-first-token than traditional computing approaches

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

    60% confidence
  • NVIDIA CUDA-X libraries deliver 12x faster vector indexing

    60% confidence

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What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise Software Races to Govern and Consolidate Around Agentic AI
Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
Our read on the data ›
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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.
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Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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