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Source document· January 5, 2026

NVIDIA Kicks Off the Next Generation of AI With Rubin — Six New Chips, One Incredible AI Supercomputer

View original at globenewswire.com
NVIDIA Kicks Off the Next Generation of AI With Rubin — Six New Chips, One Incredible AI Supercomputer News Summary: The Rubin platform harnesses extreme codesign across hardware and software to deliver up to 10x reduction in inference token cost and 4x reduction in number of GPUs to train MoE models, compared with the…
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  • With annual cadence of delivering new generation of AI supercomputers and extreme codesign across six new chips, Rubin takes a giant leap toward the next frontier of AI

    80% confidence
  • Efficiency gains in NVIDIA Rubin platform represent infrastructure progress that enables longer memory, better reasoning and more reliable outputs

    80% confidence
  • Google is proud of deep and long-standing relationship with NVIDIA and collaboration will continue bringing impressive capabilities of Rubin platform to customers

    80% confidence
  • Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof

    80% confidence
  • NVIDIA Rubin platform represents major leap forward in AI infrastructure for handling massive token volumes and multistep reasoning

    80% confidence
  • AWS and NVIDIA have been driving cloud AI innovation together for more than 15 years, and NVIDIA Rubin on AWS represents continued commitment to delivering cutting-edge AI infrastructure

    80% confidence
  • Intelligence scales with compute, and when more compute is added, models get more capable, solve harder problems and make bigger impact for people

    80% confidence
  • Lenovo is leveraging Neptune liquid cooling and global scale to help enterprises build AI factories that serve as intelligent, accelerated engines for innovation

    80% confidence
  • NVIDIA Rubin platform represents important advancement for reasoning, agentic and large-scale inference workloads

    80% confidence
  • With gigascale AI factories powered by NVIDIA Vera Rubin architecture, OCI gives customers infrastructure foundation to push limits of model training, inference and real-world AI impact

    80% confidence
  • The NVIDIA Rubin platform helps keep scaling progress so advanced intelligence benefits everyone

    80% confidence
  • NVIDIA's Rubin platform promises to deliver step-change in performance and efficiency required to deploy most advanced models to billions of people

    80% confidence
  • Rubin platform delivers up to 10x reduction in inference token cost compared to Blackwell platform

    80% confidence
  • NVIDIA Rubin will be a rocket engine for AI and is the gold standard infrastructure for training and deploying frontier models at scale

    80% confidence
  • Spectrum-X Ethernet Photonics delivers 10x greater reliability for AI applications

    80% confidence
  • Rubin platform delivers 4x reduction in number of GPUs needed to train MoE models compared to Blackwell platform

    80% confidence
  • RAS Engine modular cable-free tray design enables up to 18x faster assembly and servicing than Blackwell

    80% confidence
  • With NVIDIA Vera Rubin platform, HPE is building next generation of secure, AI-native infrastructure to turn data into intelligence and enable enterprises to become AI factories

    80% confidence
  • Spectrum-X Ethernet Photonics switch systems deliver 5x improved power efficiency and uptime

    80% confidence
  • Microsoft is building world's most powerful AI superfactories to serve any workload anywhere with maximum performance and efficiency, and with NVIDIA Vera Rubin GPUs will empower developers to create, reason and scale in new ways

    80% confidence
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What we're seeing
AI Funding Surge: Capital Floods Fintech, Foundation Models, and Autonomous Systems
A concentrated burst of AI-linked funding on 2026-08-28 pushed well over $1.5B into companies spanning fraud/identity fintech (Socure, which also acquired Fravity), foundation models (Stability AI), AI agents and enterprise tooling (Instinct, Generalist AI, Emerald AI, Owner), and AI-adjacent autonomous/aerospace ventures (Gatik, Regent Craft). The breadth and simultaneity of these rounds signal that investor appetite for AI is not concentrated in a single vertical but is broadening into applied and infrastructure-adjacent domains, with consolidation (Socure-Fravity) beginning alongside fresh capital formation.
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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
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
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