Close Menu
    Trending
    • How I Automated My Machine Learning Workflow with Just 10 Lines of Python
    • LLMs + Democracy = Accuracy. How to trust AI-generated answers | by Thuwarakesh Murallie | Jun, 2025
    • The Creator of Pepper X Feels Success in His Gut
    • How To Make AI Images Of Yourself (Free) | by VIJAI GOPAL VEERAMALLA | Jun, 2025
    • 8 Passive Income Ideas That Are Actually Worth Pursuing
    • From Dream to Reality: Crafting the 3Phases6Steps Framework with AI Collaboration | by Abhishek Jain | Jun, 2025
    • Your Competitors Are Winning with PR — You Just Don’t See It Yet
    • Papers Explained 381: KL Divergence VS MSE for Knowledge Distillation | by Ritvik Rastogi | Jun, 2025
    Finance StarGate
    • Home
    • Artificial Intelligence
    • AI Technology
    • Data Science
    • Machine Learning
    • Finance
    • Passive Income
    Finance StarGate
    Home»Data Science»VDURA Unveils Data Platform V11.2 for AI and HPC
    Data Science

    VDURA Unveils Data Platform V11.2 for AI and HPC

    FinanceStarGateBy FinanceStarGateJune 4, 2025No Comments3 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    MILPITAS, Calif. — June 3, 2025 — VDURA as we speak introduced Model 11.2 of the VDURA Information Platform, designed to speed up AI and HPC workloads by way of native Kubernetes CSI help, end-to-end encryption, and the introduction of the VDURACare Premier help providing.

    The discharge additionally previews V-ScaleFlow, a functionality throughout the VDURA Information Platform that allows seamless information motion throughout high-performance QLC flash and high-capacity disk. By orchestrating the circulation of information between efficiency tiers — together with hyperscale-class QLC SSDs and ultra-dense HDDs — V-ScaleFlow optimizes useful resource utilization, maximizes system throughput, and drives distinctive effectivity for AI-scale workloads.

    The platform consists of:

    • Native CSI Plug-in: Simplifies multi-tenant, Kubernetes based mostly deployments with zero-script persistent-volume provisioning and administration.
    • Finish-to-Finish Encryption: Complete safety with clear, tenant-per-volume encryption from information in flight to at relaxation.
    • VDURACare Premier: One easy contract masking {hardware}, software program, and help, together with 10-year, no-cost substitute of drives and 24×7 skilled response.
    • V-ScaleFlow (Know-how Preview):  An Optimized Information Circulation layer that manages seamless placement and motion of information throughout hyperscale QLC flash (e.g., Pascari 128TB) and high-density HDDs (e.g., 30TB+). By dynamically optimizing information placement, V-ScaleFlow reduces flash capability necessities by over 50 p.c and lowers energy consumption, delivering breakthrough economics for AI pipelines.

    Options:

    • Seamless Information Motion Throughout Tiers: V-ScaleFlow permits clever information placement and motion between QLC flash and HDDs, making certain optimum efficiency and effectivity.
    • Hyperscale-Class Storage Economics: Leverages high-capacity QLC SSDs and HDDs to scale back TCO by as much as 60 p.c.
    • NVMe-Class Efficiency: Sub-millisecond latency and 30 p.c throughput enhance preserve GPUs saturated.
    • Cloud-Native Simplicity: Native Kubernetes CSI simplifies stateful AI pipeline deployment.
    • Complete Assist: VDURACare Premier — 10-year, risk-free protection and 24×7 skilled response.

    “V11.2 delivers the pace, cloud-native simplicity, and safety our clients anticipate — whereas V-ScaleFlow applies hyperscaler design rules, leveraging the identical commodity SSDs and HDDs to allow environment friendly scaling and breakthrough economics,” stated Ken Claffey, CEO of VDURA.

    VDURA Information Platform V11.2 will likely be typically accessible on new V5000 programs in Q3 2025. V-ScaleFlow will attain basic availability in This fall 2025. Present V5000 clients can improve to V11.2 by way of an internet software program replace.

    VDURA is showcasing its energy at ISC 2025 with the VDURA AI Data Challenge, that includes world-renowned strongman Hafþór Björnsson, aka “The Mountain” from Sport of Thrones. The occasion highlights VDURA’s management in delivering high-performance information, high-density storage capability, and GPU optimization tailor-made for the AI pipeline. Attendees are invited to check their abilities and energy by way of interactive information challenges alongside strategic companions together with Phison Pascari, Seagate Mozaic, Starfish, and Cornelis Networks. Go to VDURA at ISC sales space G21 to expertise the facility of the VDURA Information Platform firsthand.

    “Phison has collaborated intently with VDURA to validate V-ScaleFlow know-how, enabling seamless integration of our highest-capacity QLC Pascari enterprise SSDs within the VDURA Information Platform,” stated Michael Wu, president and basic supervisor, Phison U.S. “V-Burst optimizes write-intensive AI workloads, delivering distinctive efficiency and endurance whereas driving down prices — a game-changer for HPC and AI environments.”

    “Penguin Solutions is worked up to see VDURA’s V11.2 launch and breakthrough options that embrace V-ScaleFlow, native CSI help, and end-to-end encryption that advance the operational objectives of our enterprise, federal, and cloud clients,” Trey Layton, VP software program and product administration for superior computing at Penguin Options. “These enhancements simplify persistent storage orchestration throughout Kubernetes environments, guarantee strong safety with out efficiency tradeoffs, and unlock compelling TCO enhancements for organizations scaling AI and HPC workloads. VDURA continues to ship a platform purpose-built for the way forward for real-time, inference-driven infrastructure.”





    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleMorgan Stanley Builds AI Tool That Fixes Major Coding Issue
    Next Article Paper Insights: CONTRASTIVE AUDIO-VISUAL MASKED AUTOENCODER | by Shanmuka Sadhu | Jun, 2025
    FinanceStarGate

    Related Posts

    Data Science

    Redesigning Customer Interactions: Human-AI Collaboration with Agentic AI

    June 4, 2025
    Data Science

    Postman Unveils Agent Mode: AI-Native Development Revolutionizes API Lifecycle

    June 4, 2025
    Data Science

    Researchers Use AI in Pursuit of ALS Treatments

    June 4, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    What’s next for robots | MIT Technology Review

    February 1, 2025

    K-Nearest Neighbor (KNN) — The Lazy Learning Algorithm | by Bhakti K | Feb, 2025

    February 11, 2025

    Integrating LLM APIs with Spring Boot: A Practical Guide | by ThamizhElango Natarajan | May, 2025

    May 15, 2025

    How Much Do Investment Bankers Make on Wall Street? Pay Data

    March 7, 2025

    A new computational model can predict antibody structures more accurately | MIT News

    February 9, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Data Science
    • Finance
    • Machine Learning
    • Passive Income
    Most Popular

    Tariffs are a tax and the impact is broader than high prices

    March 11, 2025

    Cloudera Releases AI-Powered Unified Data Visualization for On-Prem Environments

    May 22, 2025

    10 Key Lessons That Will Boost Your Business Success in 2025

    April 3, 2025
    Our Picks

    dkkdkddkk

    March 12, 2025

    The Intelligent Relay: How Agentic AI and RPA are Reinventing the Supply Chain | by Vikas Kulhari | May, 2025

    May 9, 2025

    Postman Unveils Agent Mode: AI-Native Development Revolutionizes API Lifecycle

    June 4, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Data Science
    • Finance
    • Machine Learning
    • Passive Income
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2025 Financestargate.com All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.