Announcing Native NVMe in Windows Server 2025: Ushering in a New Era of Storage Performance
We’re thrilled to announce the arrival of Native NVMe support in Windows Server 2025—a leap forward in storage innovation that will redefine what’s possible for your most demanding workloads. Modern NVMe (Non-Volatile Memory Express) SSDs now operate more efficiently with Windows Server. This improvement comes from a redesigned Windows storage stack that no longer treats all storage devices as SCSI (Small Computer System Interface) devices—a method traditionally used for older, slower drives. By eliminating the need to convert NVMe commands into SCSI commands, Windows Server reduces processing overhead and latency. Additionally, the whole I/O processing workflow is redesigned for extreme performance. This release is the result of close collaboration between our engineering teams and hardware partners, and it serves as a cornerstone in modernizing our storage stack. Native NVMe is now generally available (GA) with an opt-in model (disabled by default as of October’s latest cumulative update for WS2025). Switch onto Native NVMe as soon as possible or you are leaving performance gains on the table! Stay tuned for more updates from our team as we transition to a dramatically faster, more efficient storage future. Why Native NVMe and why now? Modern NVMe devices—like PCIe Gen5 enterprise SSDs capable of 3.3 million IOPS, or HBAs delivering over 10 million IOPS on a single disk—are pushing the boundaries of what storage can do. SCSI-based I/O processing can’t keep up because it uses a single-queue model, originally designed for rotational disks, where protocols like SATA support just one queue with up to 32 commands. In contrast, NVMe was designed from the ground up for flash storage and supports up to 64,000 queues, with each queue capable of handling up to 64,000 commands simultaneously. With Native NVMe in Windows Server 2025, the storage stack is purpose-built for modern hardware—eliminating translation layers and legacy constraints. Here’s what that means for you: Massive IOPS Gains: Direct, multi-queue access to NVMe devices means you can finally reach the true limits of your hardware. Lower Latency: Traditional SCSI-based stacks rely on shared locks and synchronization mechanisms in the kernel I/O path to manage resources. Native NVMe enables streamlined, lock-free I/O paths that slash round-trip times for every operation. CPU Efficiency: A leaner, optimized stack frees up compute for your workloads instead of storage overhead. Future-Ready Features: Native support for advanced NVMe capabilities like multi-queue and direct submission ensures you’re ready for next-gen storage innovation. Performance Data Using DiskSpd.exe, basic performance testing shows that with Native NVMe enabled, WS2025 systems can deliver up to ~80% more IOPS and a ~45% savings in CPU cycles per I/O on 4K random read workloads on NTFS volumes when compared to WS2022. This test ran on a host with Intel Dual Socket CPU (208 logical processors, 128GB RAM) and a Solidigm SB5PH27X038T 3.5TB NVMe device. The test can be recreated by running "diskspd.exe -b4k -r -Su –t8 -L -o32 -W10 -d30" and modifying the parameters as desired. Results may vary. Top Use Cases: Where You’ll See the Difference Try Native NVMe on servers running your enterprise applications. These gains are not just for synthetic benchmarks—they translate directly to faster database transactions, quicker VM operations, and more responsive file and analytics workloads. SQL Server and OLTP: Shorter transaction times, higher IOPS, and lower tail latency under mixed read/write workloads. Hyper‑V and virtualization: Faster VM boot, checkpoint operations, and live migration with reduced storage contention. High‑performance file servers: Faster large‑file reads/writes and quicker metadata operations (copy, backup, restore). AI/ML and analytics: Low‑latency access to large datasets and faster ETL, shuffle, and cache/scratch I/O. How to Get Started Check your hardware: Ensure you have NVMe-capable devices that are currently using the Windows NVMe driver (StorNVMe.sys). Note that some NVMe device vendors provide their own drivers, so unless using the in-box Windows NVMe driver, you will not notice any differences. Enable Native NVMe: After applying the 2510-B Latest Cumulative Update (or most recent), add the registry key with the following PowerShell command: reg add HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Policies\Microsoft\FeatureManagement\Overrides /v 1176759950 /t REG_DWORD /d 1 /f Alternatively, use this Group Policy MSI to add the policy that controls the feature then run the local Group Policy Editor to enable the policy (found under Local Computer Policy > Computer Configuration > Administrative Templates > KB5066835 251014_21251 Feature Preview > Windows 11, version 24H2, 25H2). Once Native NVMe is enabled, open Device Manager and ensure that all attached NVMe devices are displayed under the “Storage disks” section. Monitor and Validate: Use Performance Monitor and Windows Admin Center to see the gains for yourself. Or try DiskSpd.exe yourself to measure microbenchmarks in your own environment! A quick way to measure IOPS in Performance Monitor is to set up a histogram chart and add a counter for Physical Disk>Disk Transfers/sec (where the selected instance is a drive that corresponds to one of your attached NVMe devices) then run a synthetic workload with DiskSpd. Compare the numbers before and after enabling Native NVMe to see the realized difference in your real environment! Join the Storage Revolution This is more than just a feature—it’s a new foundation for Windows Server storage, built for the future. We can’t wait for you to experience the difference. Share your feedback, ask questions, and join the conversation. Let’s build the future of high-performance Windows Server storage together. Send us your feedback or questions at nativenvme@microsoft.com! — Yash Shekar (and the Windows Server team)
vNVMe on Hyper-V to unlock PCIe 5.0 NVMe performance
On hosts with NVMe PCIe 5.0 (E3.S/U.2), Hyper-V guests still use virtual SCSI and leave a lot of performance on the table. We are paying for top-tier storage, yet software becomes the limiter. A virtual NVMe device that preserves checkpoints/Replica/Live Migration would align guest performance with modern hardware without forcing DDA and its operational trade-offs.Cache drive reconfiguration in Server 2025 Storage Spaces Direct cluster
We have a three node S2D cluster running Server 2025, with the storage in a 3 way mirror, running Hyper-V VMs. Each node has 4 x NVMe drives that are currently being used as cache drives, but which are connected to a RAID controller (in HBA mode), so in the S2D configuration they appear as SSD drives rather than NVMe drives. We've purchased the required cables and drive bays to be able to reconfigure the NVMe drives so that they're attached directly to the PCIe bus, so they'll show up as NVMe drives and hopefully give us a performance boost, so I'm just trying to plan the reconfiguration. I was hoping it would be a relatively simple process of shutting everything down, reconfiguring the storage and bringing everything back online, but ChatGPT suggests things won't be that easy and that a complete reconfiguration of the storage would be required. So in a nutshell, can the cache drives be reconfigured without a complete rebuild of the S2D storage ? Cheers, Rob26063 deduplication data corruption is still there.
From Server 2022 up to this newest 26063 build, they all have the same problem, as described here: https://techcommunity.microsoft.com/t5/windows-server-insiders/server-vnext-26040-and-server-2022-deduplication-data-corruption/m-p/4047321 I am out of energy for today and give up for today. It seems to be impossible to get Microsoft to care for actual OS bugs instead of marketing.
OneDrive says tnot enough cloud space and asks me to free up space, but there are enough space.
Once I click on the "Free up Space" option, it just shows that I have enough space. I opened a ticket since 11/6 and heard nothing since.Same thing from my phone. The ticket was assigned to an agent on 11/7. No one responded. It has been 11 days since I asked for tech support. The problem persisted more than two weeks. Not even sure how I could get ahold of a human. Is my only option to cancel OneDrive and switch to NAS?
Have 1TB available but OneDrive wont upload and says "Not enough cloud storage"
I bought Office365 today and I have only 3gb on my account used out of over 1TB of space however when I try to sync it just says "Not enough cloud storage" "you don't have enough space for this file". This is very frustrating. I check my settings, I emptied my trash, I re-linked the account. None of it worked. I went through the Troubleshooting machine and did all the steps and nothing helped. I did get an error saying one drive could not be restarted. Anybody have any suggestions? Very frustrating to spend money and have this happen.Announcing the Public Preview of AMLFS 20: Azure Managed Lustre New SKU for Massive AI&HPC Workloads
Sachin Sheth - Principal PDM Manager Brian Barbisch - Principal Group Software Engineering Manager Matt White - Principal Group Software Engineering Manager Brian Lepore - Principal Product Manager Wolfgang De Salvador - Senior Product Manager Ron Hogue - Senior Product Manager Introduction We are excited to announce the Public Preview of AMLFS Durable Premium 20 (AMLFS 20), a new SKU in Azure Managed Lustre designed to deliver unprecedented performance and scale for demanding AI and HPC workloads. Key Features Massive Scale: Store up to 25 PiB of data in a single namespace, with up to 512 GB/s of total bandwidth. Advanced Metadata Performance: Multi-MDS (Metadata Server) architecture dramatically improves metadata IOPS. In mdtest benchmarks, AMLFS 20 demonstrated more than 5x improvement in metadata operations. An additional MDS is provided for every 5 PiB of provisioned filesystem. High File Capacity: Supports up to 20 billion inodes for maximum namespace size. Why AMLFS 20 Matters Simplified Architecture: Previously, datasets larger than 12.5 PiB required multiple filesystems and complex management. AMLFS 20 enables a single, high-performance file system for massive AI and HPC workloads up to 25 PiB, streamlining deployment and administration. Accelerated Data Preparation: The multi-MDT architecture significantly increases metadata IOPS, which is crucial during the data preparation stage of AI training, where rapid access to millions of files is required. Faster Time-to-Value: Researchers and engineers benefit from easier management, reduced bottlenecks, and faster access to large datasets, accelerating innovation. Availability AMLFS 20 is available in Public Preview alongside the already existing AMLFS SKUs. For more details on other SKUs, visit the Azure Managed Lustre documentation. How to Join the Preview If you are working with large-scale AI or HPC workloads and would like early access to AMLFS 20, we invite you to fill out this form to tell us about your use case. Our team will follow up with onboarding details.Join Microsoft @ SC25: Experience HPC and AI Innovation
Supercomputing 2025 is coming to St. Louis, MO, November 16–21! Visit Microsoft Booth #1627 to explore cutting-edge HPC and AI solutions, connect with experts, and experience interactive demos that showcase the future of compute. Whether you’re attending technical sessions, stopping by for a coffee, or joining our partner events, we’ve got something for everyone. Booth Highlights Alpine Formula 1 Showcar: Snap a photo with a real Alpine F1 car and learn how high-performance computing drives innovation in motorsports. Silicon Wall: Discover silicon diversity—featuring chips from our partners AMD and NVIDIA, alongside Microsoft’s own first-party silicon: Maia, Cobalt, and Majorana. NVIDIA Weather Modeling Demo: See how AI and HPC predict extreme weather events with Tomorrow.io and NVIDIA technology. Coffee Bar with Barista: Enjoy a handcrafted coffee while you connect with our experts. Immersive Screens: Watch live demos and visual stories about HPC breakthroughs and AI innovation. Hardware Bar: Explore AMD EPYC™ and NVIDIA GB200 systems powering next-generation workloads. Whether you’re attending technical sessions, stopping by for a coffee and chat with our team, or joining our partner events, we’ve got something for everyone. Conference Details Conference week: Sun, Nov 16 – Fri, Nov 21 Expo hours (CST): Mon, Nov 17: 7:00–9:00 PM (Opening Night) Tue, Nov 18: 10:00 AM–6:00 PM Wed, Nov 19: 10:00 AM–6:00 PM Thu, Nov 20: 10:00 AM–3:00 PM Customer meeting rooms: Four Seasons Hotel Quick links RSVP — Microsoft + AMD Networking Reception (Tue, Nov 18): https://aka.ms/MicrosoftAMD-Mixer RSVP — Microsoft + NVIDIA Panel Luncheon (Wed, Nov 19): Luncheon is now closed as the event is fully booked. Earned Sessions (Technical Program) Sunday, Nov 16 Session Type Time (CST) Title Microsoft Contributor(s) Location Tutorial 8:30 AM–5:00 PM Delivering HPC: Procurement, Cost Models, Metrics, Value, and More Andrew Jones Room 132 Tutorial 8:30 AM–5:00 PM Modern High Performance I/O: Leveraging Object Stores Glenn Lockwood Room 120 Workshop 2:00–5:30 PM 14th International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2025) Torsten Hoefler Room 265 Monday, Nov 17 Session Type Time (CST) Title Microsoft Contributor(s) Location Early Career Program 3:30–4:45 PM Voices from the Field: Navigating Careers in Academia, Government, and Industry Joe Greenseid Room 262 Workshop 3:50–4:20 PM Towards Enabling Hostile Multi-tenancy in Kubernetes Ali Kanso; Elzeiny Mostafa; Gurpreet Virdi; Slava Oks Room 275 Workshop 5:00–5:30 PM On the Performance and Scalability of Cloud Supercomputers: Insights from Eagle and Reindeer Amirreza Rastegari; Prabhat Ram; Michael F. Ringenburg Room 267 Tuesday, Nov 18 Session Type Time (CST) Title Microsoft Contributor(s) Location BOF 12:15–1:15 PM High Performance Software Foundation BoF Joe Greenseid Room 230 Poster 5:30–7:00 PM Compute System Simulator: Modeling the Impact of Allocation Policy and Hardware Reliability on HPC Cloud Resource Utilization Jarrod Leddy; Huseyin Yildiz Second Floor Atrium Wednesday, Nov 19 Session Type Time (CST) Title Microsoft Contributor(s) Location BOF 12:15–1:15 PM The Future of Python on HPC Systems Michael Droettboom Room 125 BOF 12:15–1:15 PM Autonomous Science Network: Interconnected Autonomous Science Labs Empowered by HPC and Intelligent Agents Joe Tostenrude Room 131 Paper 1:30–1:52 PM Uno: A One‑Stop Solution for Inter‑ and Intra‑Data Center Congestion Control and Reliable Connectivity Abdul Kabbani; Ahmad Ghalayini; Nadeen Gebara; Terry Lam Rooms 260–267 Paper 2:14–2:36 PM SDR‑RDMA: Software‑Defined Reliability Architecture for Planetary‑Scale RDMA Communication Abdul Kabbani; Jie Zhang; Jithin Jose; Konstantin Taranov; Mahmoud Elhaddad; Scott Moe; Sreevatsa Anantharamu; Zhuolong Yu Rooms 260–267 Panel 3:30–5:00 PM CPUs Have a Memory Problem — Designing CPU‑Based HPC Systems with Very High Memory Bandwidth Joe Greenseid Rooms 231–232 Paper 4:36–4:58 PM SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations Kun Li; Liang Yuan; Ting Cao; Mao Yang Rooms 260–267 Thursday, Nov 20 Session Type Time (CST) Title Microsoft Contributor(s) Location BOF 12:15–1:15 PM Super(computing)heroes Laura Parry Rooms 261–266 Paper 3:30–3:52 PM Workload Intelligence: Workload‑Aware IaaS Abstraction for Cloud Efficiency Anjaly Parayil; Chetan Bansal; Eli Cortez; Íñigo Goiri; Jim Kleewein; Jue Zhang; Pantea Zardoshti; Pulkit Misra; Raphael Ghelman; Ricardo Bianchini; Rodrigo Fonseca; Saravan Rajmohan; Xiaoting Qin Room 275 Paper 4:14–4:36 PM From Deep Learning to Deep Science: AI Accelerators Scaling Quantum Chemistry Beyond Limits Fusong Ju; Kun Li; Mao Yang Rooms 260–267 Friday, Nov 21 Session Type Time (CST) Title Microsoft Contributor(s) Location Workshop 9:00 AM–12:30 PM Eleventh International Workshop on Heterogeneous High‑performance Reconfigurable Computing (H2RC 2025) Torsten Hoefler Room 263 Booth Theater Sessions Monday, Nov 17 — 7:00 PM–9:00 PM Time (CST) Session Title Presenter(s) 8:00–8:20 PM Inside the World’s Most Powerful AI Data Center Chris Jones 8:30–8:50 PM Transforming Science and Engineering — Driven by Agentic AI, Powered by HPC Joe Tostenrude Tuesday, Nov 18 — 10:00 AM–6:00 PM Time (CST) Session Title Presenter(s) 11:00–11:50 AM Ignite Keynotes 12:00–12:20 PM Accelerating AI workloads with Azure Storage Sachin Sheth; Wolfgang De Salvador 12:30–12:50 PM Accelerate Memory Bandwidth‑Bound Workloads with Azure HBv5, now GA Jyothi Venkatesh 1:00–1:20 PM Radiation & Health Companion: AI‑Driven Flight‑Dose Awareness Olesya Sarajlic 1:30–1:50 PM Ascend HPC Lab: Your On‑Ramp to GPU‑Powered Innovation Daniel Cooke (Oakwood) 2:00–2:20 PM Azure AMD HBv5: Redefining CFD Performance and Value in the Cloud Rick Knoechel (AMD) 2:30–2:50 PM Empowering High Performance Life Sciences Workloads on Azure Qumulo 3:00–3:20 PM Transforming Science and Engineering — Driven by Agentic AI, Powered by HPC Joe Tostenrude 4:00–4:20 PM Unleashing AMD EPYC on Azure: Scalable HPC for Energy and Manufacturing Varun Selvaraj (AMD) 4:30–4:50 PM Automating HPC Workflows with Copilot Agents Xavier Pillons 5:00–5:20 PM Scaling the Future: NVIDIA’s GB300 NVL72 Rack for Next‑Generation AI Inference Kirthi Devleker (NVIDIA) 5:30–5:50 PM Enabling AI and HPC Workloads in the Cloud with Azure NetApp Files Andy Chan Wednesday, Nov 19 — 10:00 AM–6:00 PM Time (CST) Session Title Presenter(s) 10:30–10:50 AM AI‑Powered Digital Twins for Industrial Engineering John Linford (NVIDIA) 11:00–11:20 AM Advancing 5 Generations of HPC Innovation with AMD on Azure Allen Leibovitch (AMD) 11:30–11:50 AM Intro to LoRA Fine‑Tuning on Azure Christin Pohl 12:00–12:20 PM VAST + Microsoft: Building the Foundation for Agentic AI Lior Genzel (VAST Data) 12:30–12:50 PM Inside the World’s Most Powerful AI Data Center Chris Jones 1:00–1:20 PM Supervised GenAI Simulation – Stroke Prognosis (NVads V710 v5) Kurt Niebuhr 1:30–1:50 PM What You Don’t See: How Azure Defines VM Families Anshul Jain 2:00–2:20 PM Hammerspace Tier 0: Unleashing GPU Storage Performance on Azure Raj Sharma (Hammerspace) 2:30–2:50 PM GM Motorsports: Accelerating Race Performance with AI Physics on Rescale Bernardo Mendez (Rescale) 3:00–3:20 PM Hurricane Analysis and Forecasting on the Azure Cloud Salar Adili (Microsoft); Unni Kirandumkara (GDIT); Stefan Gary (Parallel Works) 3:30–3:50 PM Performance at Scale: Accelerating HPC & AI Workloads with WEKA on Azure Desiree Campbell; Wolfgang De Salvador 4:00–4:20 PM Pushing the Limits of Performance: Supercomputing on Azure AI Infrastructure Biju Thankachen; Ojasvi Bhalerao 4:30–4:50 PM Accelerating Momentum: Powering AI & HPC with AMD Instinct™ GPUs Jay Cayton (AMD) Thursday, Nov 20 — 10:00 AM–3:00 PM Time (CST) Session Title Presenter(s) 11:30–11:50 AM Intro to LoRA Fine‑Tuning on Azure Christin Pohl 12:00–12:20 PM Accelerating HPC Workflows with Ansys Access on Microsoft Azure Dr. John Baker (Ansys) 12:30–12:50 PM Accelerate Memory Bandwidth‑Bound Workloads with Azure HBv5, now GA Jyothi Venkatesh 1:00–1:20 PM Pushing the Limits: Supercomputing on Azure AI Infrastructure Biju Thankachen; Ojasvi Bhalerao 1:30–1:50 PM The High Performance Software Foundation Todd Gamblin (HPSF) 2:00–2:20 PM Heidi AI — Deploying Azure Cloud Environments for Higher‑Ed Students & Researchers James Verona (Adaptive Computing); Dr. Sameer Shende (UO/ParaTools) Partner Session Schedule Tuesday, Nov 18 Date Time (CST) Title Microsoft Contributor(s) Location Nov 18 11:00 AM–11:50 AM Cloud Computing for Engineering Simulation Joe Greenseid Ansys Booth Nov 18 1:00 PM–1:30 PM Revolutionizing Simulation with Artificial Intelligence Joe Tostenrude Ansys Booth Nov 18 4:30 PM–5:00 PM [HBv5] Jyothi Venkatesh AMD Booth Wednesday, Nov 19 Date Time (CST) Title Microsoft Contributor(s) Location Nov 19 11:30 AM–1:30 PM Accelerating Discovery: How HPC and AI Are Shaping the Future of Science (Lunch Panel) Andrew Jones (Moderator); Joe Greenseid (Panelist) Ruth's Chris Steak House Nov 19 1:00 PM–1:30 PM VAST and Microsoft Kanchan Mehrotra VAST Booth Demo Pods at Microsoft Booth Azure HPC & AI Infrastructure Explore how Azure delivers high-performance computing and AI workloads at scale. Learn about VM families, networking, and storage optimized for HPC. Agentic AI for Science See how autonomous agents accelerate scientific workflows, from simulation to analysis, using Azure AI and HPC resources. Hybrid HPC with Azure Arc Discover how Azure Arc enables hybrid HPC environments, integrating on-prem clusters with cloud resources for flexibility and scale. Ancillary Events (RSVP Required) Microsoft + AMD Networking Reception — Tuesday Night When: Tue, Nov 18, 6:30–10:00 PM (CST) Where: UMB Champions Club, Busch Stadium RSVP: https://aka.ms/MicrosoftAMD-Mixer Microsoft + NVIDIA Panel Luncheon — Wednesday When: Wed, Nov 19, 11:30 AM–1:30 PM (CST) Where: Ruth’s Chris Steak House Topic: Accelerating Discovery: How AI and HPC Are Shaping the Future of Science Panelists: Dan Ernst (NVIDIA); Rollin Thomas (NERSC); Joe Greenseid (Microsoft); Antonia Maar (Intersect360 Research); Fernanda Foertter (University of Alabama) RSVP: Luncheon is now closed as the event is fully booked. Conclusion We’re excited to connect with you at SC25! Whether you’re exploring our booth demos, attending technical sessions, or joining one of our partner events, this is your opportunity to experience how Microsoft is driving innovation in HPC and AI. Stop by Booth #1627 to see the Alpine F1 showcar, explore the Silicon Wall featuring AMD, NVIDIA, and Microsoft’s own chips, and enjoy a coffee from our barista while networking with experts. Don’t forget to RSVP for our Microsoft + AMD Network Reception and Microsoft + NVIDIA Panel Luncheon See you in St. Louis!
Move files from Account A to Account B 165 GB data
I’ve been using Microsoft Office 365 Family for several years, sharing it with my family members. We have 6 accounts, each with 1 TB of storage. One of my accounts has now reached 985 GB, so I need to transfer files from Account A (my account) to Account B (my wife’s account). These files mainly consist of photos and videos — over 200,000 files in total. I tried transferring a 6 GB wedding shoot (.ISO format), but it took more than an hour. Re-downloading and uploading all the data isn’t feasible as my internet connectivity is limited to 100 mbps only. I’m looking for the best and most efficient way to move these files directly between OneDrive accounts.
