From Scale to Breakthrough: Azure NetApp Files Sets a New Cloud Benchmark for EDA Performance
This article spotlights the newest leap in Azure NetApp Files: large volume breakthrough mode performance – independently validated by SPECstorage® Solution 2020 benchmarks. Azure NetApp Files is setting a new record for enterprise-scale Electronic Design Automation (EDA) workloads in the cloud. Backed by benchmark results at enterprise scale, it further reduces the traditional tradeoff between massive scale and uncompromising storage performance. For EDA teams, this means storage can keep pace with design cycles – enabling faster iteration, supporting cloud-first workflows, and reducing time spent waiting on infrastructure.Incoming Changes for Window Server 2022 Marketplace Image Users
New Azure Marketplace Windows Server 2022 media images offer is available in March 2026 excluding .NET 6 packages. Migrate to the new images before June 2026. After June 2026, there will be no patch to .NET 6 on the legacy images, and the legacy image will start deprecation at the same time.Announcing the General Availability of the Next Generation of Azure Boost
Starting May 7th, 2026, the new Esv7, Dsv7, and Dlsv7 virtual machines are generally available — and underneath them is a fundamentally new generation of Azure Boost. Not an incremental refresh. A platform that took over five years to build, with custom ASIC-hardened logic, a new network adapter, redesigned storage offload, and a security architecture that makes Azure Boost a Trusted Execution Environment in its own right. You’ll notice the performance: up to 400 Gbps networking, up to 1M remote storage IOPS, up to 21 million local NVMe IOPS. What you won’t see yet is everything this platform can do. These VMs tap into the first wave of capabilities from the new Boost generation — and over the coming months, new VM families and features will unlock additional capabilities and performance. What Makes This Generation Different Azure Boost offloads virtualization, networking, and storage onto purpose-built hardware, so your workloads get more of the server you paid for. That fundamental model hasn’t changed. What has changed — substantially — is the platform underneath. This generation of Azure Boost is built around a purpose-designed PCIe card that integrates three tightly coupled subsystems onto a single ASIC: A custom ASIC/FPGA hybrid accelerator — handles storage acceleration, virtual network encryption, remote storage encryption, and high-throughput data-path processing. This generation hardens significantly more critical data path logic into dedicated logic — moving functions that previously ran in software or in FPGA into application-specific silicon. Most data for high-speed networking and storage is now transferred through the ASIC without going through the FPGA or software, which we use only where we need programmable packet processing. The result is higher throughput at lower latency, with better power efficiency per I/O operation – a 2x improvement in power per throughput over our prior 200Gbps Boost generation. The ASIC also contains the trusted subsystems that form the foundation of Azure Boost’s confidential computing capabilities. The Microsoft Azure Network Adapter (MANA) — Microsoft’s custom-designed network interface, purpose-built for Azure. MANA delivers up to 400 Gbps of networking bandwidth with hardware-accelerated packet processing, high speed RDMA transport, dual top-of-rack active/active resiliency, and sub-second networking maintenance. It provides a consistent driver interface across hardware generations, so future platform upgrades won’t disrupt your networking stack. A dedicated System-on-Chip (SoC) — running the Azure Boost control plane, agent management, servicing, and diagnostics on Arm cores — physically isolated from both the customer VM and the ASIC/FPGA data path. The SoC manages the operational lifecycle of the card while the ASIC and FPGA handle customer I/O at wire speed. These three subsystems work as a single integrated platform. The ASIC and FPGA process your storage and networking data with hardware-enforced tenant isolation. MANA moves your packets. The SoC manages the device without ever touching your data. And all of it sits behind a hardware root of trust that attests the integrity of every component before the card is allowed to serve a single VM. This architecture is also what makes confidential I/O possible. The ASIC contains dedicated confidential data-flow logic in hard-IP, designed to handle encrypted VM memory directly over IDE-encrypted PCIe links — without bounce buffers, without software intermediaries. This hardware foundation ships with every card today; the confidential computing features that build on it will be exposed in upcoming VM SKUs. For customers, the practical impact is straightforward: faster I/O, more predictable performance, fewer host CPU cores consumed by platform overhead, and a security boundary that’s enforced in silicon — not just in software policy. Millions of additional sellable CPU cores have been released back to customer workloads as a result of the host core reductions this platform enables. The physical Boost card itself — a PCIe card with the central ASIC/FPGA hybrid accelerator, surrounding memory, MANA network ports, and Microsoft branding — is visible in the image above. Every new generation of Azure Boost-enabled server in the fleet will carry this card, and every new Intel v7-series VM runs on it. What the New VMs Deliver Today The Esv7 (memory-optimized), Dsv7 (general-purpose), and Dlsv7(general purpose) families are the first SKUs to ship on this Azure Boost generation in general availability. Powered by custom Intel® Xeon® 6 processors with frequencies up to 4.2 GHz and up to 2x higher memory bandwidth than v6, they deliver substantial generational gains across the board: Compute Up to 20% better general compute performance compared to v6 VMs Up to 25% better performance for compute-bound workloads like video transcoding, compression, and cryptography Up to 30% better database workload performance on the largest sizes Sizes up to 372 vCPUs and 2.8 TiB of memory — enabling larger in-memory databases, agentic AI workloads with larger context windows, and latency-sensitive applications that benefit from minimizing cross-node hops Networking Up to 400 Gbps of VM networking bandwidth on the largest Esv7/Edsv7 sizes Dual top-of-rack (TOR) active/active fabric — continuing the proven architecture from prior generations for higher throughput and faster failover under network events Storage Up to 800K remote storage IOPS and 20 GBps remote storage throughput per VM on Premium v2 SSD and Ultra Disk with the largest Esv7/Edsv7 sizes Up to 9.6 million local NVMe IOPS and 53 GBps local storage throughput with the largest Ddsv7/Edsv7 sizes — storage processing offloaded entirely to dedicated Azure Boost SSD hardware Customers are strongly encouraged to use the latest Microsoft Azure Network Adapter (MANA) drivers to ensure optimal performance and reliability on Azure Boost-enabled hardware. The latest drivers are available at https://aka.ms/mana. These are the capabilities the current VMs expose. The Azure Boost platform underneath has more in reserve — capabilities that will show up as new VM families ship throughout the year. For the full SKU lineup, sizing, and benchmarks, see the companion announcement: Announcing General Availability of Azure Dl/D/Esv7-series VMs based on Intel® Xeon® 6 processors. Azure Boost Confidential Device (ABCD): the Boost device joins the Confidential VM’s Trusted Compute Base through attested hardware and IDE-encrypted PCIe links. Built on a Hardware Root of Trust Performance is the visible part. Below the waterline, the bigger shift is what this generation enables for security: Azure Boost is now a full Trusted Execution Environment in its own right. That’s not a future promise — it’s the foundation shipping today, and it’s what powers the confidential computing capabilities already in production and the ones coming next. Security isn’t layered on top of Azure Boost — it’s the foundation the platform boots from. Every Azure Boost device is anchored by Cerberus, Microsoft’s open-sourced hardware root of trust, certified to NIST SP 800-193 for platform firmware resiliency. Cerberus measures and attests every critical firmware component before Boost is allowed to initialize. If anything is off, Boost doesn’t come up. You get a chain of trust that starts in hardware and extends all the way up to your workload: Hardware root of trust identity — every Azure Boost device has a unique, cryptographically-bound identity established at manufacturing. Measured and Secure Boot — every layer of Azure Boost firmware and software is measured and verified before execution. Continuous attestation — the Azure Attestation Service periodically validates that each Boost device in the fleet is running known-good, trusted firmware and software. Devices that fail attestation are taken out of service automatically. In practice, this means every Azure Boost device proves what it is before it’s allowed to touch your data — and keeps proving it continuously while your workloads run. Strong Isolation Between Azure Boost and Your Workloads By offloading virtualization, networking, and storage onto dedicated hardware, Azure Boost establishes a hard, physical isolation boundary between the platform infrastructure and your workloads: Control plane and data plane separation — hypervisor management, networking, and storage policy execution all run on the Azure Boost hardware, completely off your CPU and memory. Your VM has no path to reach Boost’s control surfaces. Reduced host attack surface — because Azure Boost owns the I/O path end-to-end, the host runs a minimal, hardened software stack with far fewer privileged components than a traditional hypervisor host. Memory-safe implementation — critical Azure Boost components are written in memory-safe languages, eliminating entire classes of vulnerabilities by construction. Per-tenant cryptographic isolation — networking and storage I/O are cryptographically segregated per tenant on the Azure Boost data path. The net effect: the attack surface between your VM and the platform infrastructure is smaller than any mainstream cloud hypervisor — by design, not by patch. Confidential Computing: What’s Shipped and What’s Coming This Boost generation doesn’t just promise confidential computing — parts of it are already in production, and the hardware foundation for what comes next is shipping on every card today. Shipped: Confidential VMs on Azure Boost Confidential VMs running on Azure Boost infrastructure are generally available today on Intel platforms, deployed on dedicated clusters. This makes them the first CVM SKU running on Azure Boost. Learn more here: https://learn.microsoft.com/en-us/azure/virtual-machines/sizes/general-purpose/dcesv6-series Coming: Azure Boost Confidential Device and Confidential I/O In traditional confidential computing, every I/O operation requires data to be copied from the VM’s private encrypted memory into a shared “bounce buffer” before it can be sent to devices like a NIC or storage controller. This exists because the VM’s memory is encrypted with a key that’s not accessible outside the CVM boundary — so devices can’t read it directly. The bounce buffer serves as an intermediary for DMA operations. The cost: every I/O operation requires an extra copy and an encrypt/decrypt cycle, increasing CPU usage and latency, and reducing networking and storage throughput. Azure Boost Confidential Device (ABCD) eliminates this tax. ABCD extends the Confidential VM’s Trusted Compute Base (TCB) into the Azure Boost TDISP enabled ASIC through attested hardware integration. Rather than transferring data to a shared buffer, the Boost device can access encrypted VM memory directly through an IDE-encrypted PCIe connection, using TDISP — a PCI-SIG standard supported by all major CPU vendors that allows CVMs to attest the hardware and firmware of devices granted DMA access to their memory. By avoiding intermediate buffers, this attested secure link maintains both the confidentiality and integrity of data, allowing information to move safely and efficiently between the CVM and the attested Boost hardware. The ASIC on the Boost card contains dedicated confidential data-flow logic in hard-IP, specifically designed to handle this encrypted traffic at wire speed. The Arm SoC and its agents remain outside the trust boundary — only the attested ASIC, FPGA and real-time firmware subsystems are included in the TCB. We are implementing TDISP across both Intel (via TDX Connect) and AMD (via SEV-SNP) platforms — because confidential I/O should not be limited to a single CPU vendor. The result: ABCD reduces CPU usage by eliminating bounce-buffer copies and redundant encryption cycles, freeing more vCPU resources for application workloads and enabling higher throughput through direct hardware offload of networking and storage. Benchmarks show attested confidential offloads performing at near parity with general-purpose VMs, with maintained security guarantees. The hardware foundation is shipping on every Azure Boost card today. The customer-facing SKUs that bring ABCD to virtual machines will enter preview on Intel later this year, with AMD following. Stay tuned. Why this matters for regulated customers For regulated industries and sovereign deployments, this answers a question that no amount of contractual language can resolve: how do you prove the infrastructure itself is trustworthy? Hardware root of trust and continuous attestation let you and your regulators verify — cryptographically, not contractually — that workloads run on known-good, policy-compliant hardware and firmware. That’s not a checkbox. It’s a fundamentally different assurance model. More Platform Capabilities Coming This Year The new Azure Boost generation powers more than today’s Esv7/Dsv7/Dlsv7 launch. Over the coming months, expect: Network-optimized VM families — new SKUs designed to expose the full networking capabilities of the Boost platform for customers who need maximum connections-per-second and packet processing performance. Guest RDMA — low-latency, lossless networking between VMs, extending RDMA beyond traditional HPC scenarios. This Boost generation is architected for region-wide RDMA, enabling distributed workloads to communicate across Availability Zones with minimal overhead. Broader SKU coverage — additional VM families across AMD, Arm-based processors, and GPUs will ship on this Boost generation, including remote storage encryption enablement by default, extending the platform’s performance and security benefits across the Azure Compute portfolio. We’ll share more details as each capability reaches preview and GA milestones. Available Today Deploy Esv7, Dsv7, or Dlsv7 today from the Azure portal, Azure CLI, or your preferred Infrastructure as a Code (IaC) tool. They’re the first to run on this generation of Azure Boost, and they won’t be the last. The platform underneath has more to give, and we’ll be showing what’s next throughout the year. To learn more: Azure Boost overview — https://learn.microsoft.com/azure/azure-boost/overview Esv7, Dsv7, and Dlsv7 VM announcement — Announcing General Availability of Azure Dl/D/Esv7-series VMs based on Intel® Xeon® 6 processors Azure Boost product page — https://azure.microsoft.com/products/virtual-machines/boostPublic Preview: Migrate your regional virtual machines to availability zones
This new capability enables you to move your existing regional (nonzonal) VMs and VMSS Flex deployments into specific availability zones while preserving the VM names, data disks, and other stateful properties. We're excited to announce the public preview of regional to zonal migration for Azure Virtual Machines and for VMs in Virtual Machine Scale Sets with Flexible orchestration. With a small number of API calls, you can take a VM that was originally deployed without a zone and assign it to availability zone 1, 2, or 3—keeping the same VM resource ID, name, OS and data disks, NICs, IP addresses, and scale set membership. For detailed instructions, see: Migrate a regional virtual machine to an availability zone Migrate from regional to a zonal Virtual Machine Scale Sets Why migrate from regional to zonal? Availability zones are physically separate datacenters within an Azure region, each with independent power, cooling, and networking. Placing your VMs into zones gives you a meaningfully higher availability profile and protects you from datacenter-level failures. Capability Regional VM / VMSS Zonal VM / VMSS Datacenter-level fault isolation No Yes Single-VM SLA 99.9% (Premium SSD) 99.9% (Premium SSD) Multi-VM SLA 99.95% (availability set or fault-domain spread) 99.99% (across two or more zones) Protection from a zone outage No Yes Required for many compliance and DR architectures — Yes Until now, moving an existing regional VM into a zone meant rebuilding the VM: snapshot the disks, recreate the resource in the target zone, reattach NICs, update DNS, and so on. With this preview you can do it while preserving the resource IDs and all its dependencies. How it works The migration is a deliberate, in-place flow that you control end-to-end: Register the preview feature Microsoft.Compute/RegionalToZonalVMMigrationForDeallocatedVM on your subscription. Deallocate the VM. The VM must be in Stopped (deallocated) state—plan for downtime. Assign the zone. Update the VM's zones property to ["1"], ["2"], or ["3"]. Start the VM. It boots in the new zone immediately, even while background data migration of the disks is still completing. (Optional) Attach to a Flexible scale set for autoscaling, rolling upgrades, and instance protection. A few important properties of the flow: In place. The VM keeps its resource ID, name, NICs, private/public IPs, OS and data disks, tags, and extensions. Background data movement. Disk data is migrated transparently after the zone is assigned. You don't have to wait for it before starting the VM. One-way. A zonal VM can't be migrated back to a regional deployment. Per-VM granularity. For scale sets, you migrate one VM at a time so you can stagger the change across instances and validate between batches. Two migration paths Path 1: Single regional VM → zonal VM For standalone VMs (or VMs you want to leave standalone). Once the VM is zonal, you can optionally attach it to a Flexible scale set in the same region. # 1. Deallocate az vm deallocate -g <rg> -n <vm> # 2. Assign zone az vm update -g <rg> -n <vm> --set zones='["1"]' # 3. Start az vm start -g <rg> -n <vm> If the VM is in a Proximity Placement Group, remove the PPG association in the same update by adding --ppg "". Path 2: Regional VMSS Flex → zonal VMSS Flex For VMs running in a Flexible scale set, you first update the scale set model to include the target zones, then migrate each VM in place. VMs keep their names, disks, network configuration, and scale set membership. # 1. Add zones to the scale set model (no impact on running VMs) az vmss update -g <rg> -n <vmss> --set zones='["1","2","3"]' # 2. For each VM in the scale set: az vm deallocate -g <rg> -n <vm-instance> az vm update -g <rg> -n <vm-instance> --set zones='["1"]' az vm start -g <rg> -n <vm-instance> We recommend migrating in batches—for example, a third of the instances at a time—so the application stays healthy throughout the migration window. Spreading the instances across all three zones. Supported configurations Source Target Regional VM Zonal VM Regional VM Zonal VM in a Flexible scale set Regional VM in a Proximity Placement Group Zonal VM (PPG removed) Regional VM in a Flexible scale set Zonal VM in the same Flexible scale set Not supported in this preview You'll need to address these before migrating: Basic SKU public IP addresses — upgrade to Standard SKU. Basic SKU Load Balancer — upgrade to Standard Load Balancer. Unmanaged disks — convert to managed disks. The target zone must also support the VM's current size. You can check with: az vm list-skus --location <region> --zone --resource-type virtualMachines -o table How to get started Register the preview feature on your subscription: az feature register --namespace Microsoft.Compute \ --name RegionalToZonalVMMigrationForDeallocatedVM. Pick a non-production VM or scale set first. Walk through deallocate → assign zone → start, and confirm the VM comes up healthy in the new zone. Plan your zone strategy. For multi-VM workloads, distribute instances across zones 1, 2, and 3 so a single zone failure minimally impacts your workload. Roll out in batches for production scale sets, validating application health between batches.Public Preview: Migrate Availability Sets to Virtual Machine Scale Sets
We're excited to announce the public preview of availability set to Virtual Machine Scale Set migration for Azure Virtual Machines. This new capability enables you to move your existing VMs from availability sets to Virtual Machine Scale Sets with Flexible orchestration—unlocking higher availability, autoscaling, and zone-level resiliency without recreating your workloads from scratch. For detailed instructions, see Migrate virtual machines from availability sets to Virtual Machine Scale Sets. Why migrate from availability sets to Virtual Machine Scale Sets? Virtual Machine Scale Sets with Flexible orchestration provide several advantages over availability sets: Capability Virtual Machine Scale Sets (Flexible) Availability Sets Maximum instances Up to 1,000 VMs Up to 200 VMs Availability zone support Yes No Autoscaling Yes No Rolling upgrades Yes No Instance protection Yes No Availability SLA 99.95% (fault domains) or 99.99% (zones) 99.95% How it works The migration follows a structured, step-by-step process that gives you full control: Create a target Virtual Machine Scale Set with Flexible orchestration mode (regional or zonal) Validate that your availability set is eligible for migration Start migration to put the availability set into migration mode Migrate VMs individually to the target scale set Start VMs after each migration completes Clean up by deleting the empty availability set VMs are migrated one at a time, giving you control over the pace and allowing you to verify each VM before proceeding. If something doesn't go as planned, you can cancel the migration at any point—VMs that haven't been migrated yet remain in the availability set. Migrate directly from the Azure portal You can also migrate entirely from the Azure portal with a guided experience that handles validation, scale set selection, zone assignment, and migration in a streamlined flow. Navigate to your availability set and select Migrate to VMSS Flex from the toolbar to get started. The Azure portal walks you through each step: Select or create a target scale set — Choose an existing compatible scale set from a dropdown, or quick-create a new one directly from the migration experience. Assign availability zones — If you selected a zonal scale set, assign each VM to a specific availability zone for maximum resiliency. Review and migrate — Review the configuration, then select Migrate to move all VMs at once. Start VMs and clean up — After migration completes, start your VMs and delete the empty availability set. Note: The portal migrates all VMs in the availability set at the same time. If you need to migrate VMs one at a time to maintain application uptime during migration, use Azure CLI, PowerShell, or the REST API instead. Regional and zonal migration paths You can migrate to either a regional or zonal Virtual Machine Scale Set: Regional migration distributes VMs across fault domains within a region, similar to availability sets but with all the scale set benefits. Zonal migration places VMs into specific availability zones (1, 2, or 3), giving you the highest level of resiliency with a 99.99% SLA. You can also optionally change VM sizes during zonal migration. We recommend zonal migration for workloads that need maximum resiliency. Distribute your VMs across multiple zones so that a single zone failure only impacts a fraction of your workload. How to Get Started To get started with availability set to Virtual Machine Scale Set migration: Register for the preview: Enable the MigrateToVmssFlex feature flag in your subscription via Azure CLI or PowerShell. Create a target scale set: Create a Virtual Machine Scale Set with Flexible orchestration mode in the same region as your availability set. Validate and migrate: Run the validation API against your availability set, then migrate your VMs one at a time to the target scale set. For detailed instructions, see Migrate virtual machines from availability sets to Virtual Machine Scale Sets.
Upcoming Compute API Change: Always return non-null securityType
Starting with Azure Compute API version 2025‑11‑01, Virtual Machines and Virtual Machine Scale Sets will always return a non‑null securityType value in API responses. This post explains the behavior change, which API versions are affected, and what teams need to update in automation, validation or post-deployment logic that relies on null checks.Azure NCv6 Virtual Machines: Enhancements and GA Transition
NCv6 Virtual Machines are Azure's flexible, next generation platform enabling both leading-edge graphics and generative AI compute workloads. Featuring NVIDIA RTX PRO 6000 Blackwell Server Edition (BSE) GPUs, Intel Xeon™ 6 "Granite Rapids" 6900P series CPUs, and a suite of Microsoft Azure technologies, NCv6 VMs are available now in Preview. Today, we are pleased to share a series of exciting updates coming soon to Azure NCv6 that will: Enhance VM performance and capabilities Provide more VM sizes for customers to "right size" their usage Bring NCv6 to production readiness with a transition to General Availability, and Expand accessibility across the global Azure cloud New VM Sizes, Features, and Performance Enhancements In the coming weeks, Azure will debut seven new NCv6-series VM sizes and two different sub-families for customers to choose from. The standout features introduced with the new VM sizes include: 🧩 Fractional GPU support, enabling graphics workload customers to deploy VMs with as little as 1/2 or 1/4 of a RTX PRO™ 6000. VMs with fractional GPU support also feature reduced vCPU, memory, SSD, and networking to help customers optimize costs and right size their VMs to their workloads. ⚡ Increased vCPU per VM size (e.g. 288 vCPU instead of 256) to provide more performance for high-end VDI workstations and better align with the Intel Xeon 6900P's triple compute tile architecture. 🛠️ General Purpose and Compute Optimized VM sizes. The former provides larger amounts of CPU memory for demanding generative AI inference and ISV CAD/CAE simulations, while the latter offers reduced memory to enable customers with less memory intensive workloads to cost optimize their deployments. The new VM sizes will replace the existing three VM sizes offered in Preview, and be available as follows: NCv6 - General Purpose VM sizes: Size Name vCPUs Memory (GB) Networking (Mb/s) GPUs GPU Mem (GB) Temp Disk NVMe Disk Standard_NC36ds_xl_RTXPro6000_v6 36 132 22500 1/4 24 256 1600 Standard_NC72ds_xl_RTXPro6000_v6 72 264 45000 1/2 48 512 3200 Standard_NC144ds_xl_RTXPro6000_v6 144 516 90000 1 96 1024 6400 Standard_NC288ds_xl_RTXPro6000_v6 288 1032 180000 2 192 2048 12800 Standard_NC324ds_xl_RTXPro6000_v6 324 1284 180000 2 192 2048 12800 NCv6-Compute Optimized VM sizes: Size Name vCPUs Memory (GB) Networking (Mbps) GPUs GPU Mem (GB) Temp Disk NVMe Disk Standard_NC24lds_xl_RTXPro6000_v6 24 72 22500 1/4 24 256 1600 Standard_NC36lds_xl_RTXPro6000_v6 36 72 22500 1/4 24 256 1600 Standard_NC72lds_xl_RTXPro6000_v6 72 132 45000 1/2 48 512 3200 Standard_NC144lds_xl_RTXPro6000_v6 144 264 90000 1 96 1024 6400 Standard_NC288lds_xl_RTXPro6000_v6 288 516 180000 2 192 2048 12800 Standard_NC324lds_xl_RTXPro6000_v6 324 648 180000 2 192 2048 12800 Note that, until the new VM sizes are available, Microsoft Learn resources will continue to reflect the currently offered VM sizes and technical specifications. Transition to General Availability In the coming weeks, Azure will transition NCv6-series from Preview to General Availability (GA) status. With this transition, NCv6 VMs will become covered by the Azure Service Level Agreement (SLA) and thus ready to support production-grade deployments by customers, partners, and service providers. When the transition to NCv6 VMs occurs, they will be available in the Azure West US2 and Southeast Asia regions. Information on availability timing of additional regions is provided below. Regional Expansion Across the Azure Cloud At the beginning of Preview, NCv6 VMs debuted in the West US2 region. Since then, we have also added NCv6 VMs to the Southeast Asia region. Both regions will be part of the transition to GA status. We are pleased to share that in the proceeding months covering Q3 of 2026, NCv6 VMs will also become available in the following Azure regions: • East US • West Europe • East US 2 • North Europe • South Central US • Germany West Central • West US • Korea Central Ready to build for the future with Azure NCv6? NCv6 Virtual Machines are available now in Preview. Start your production-grade AI journey today and explore the next frontier of Azure AI infrastructure. Join the PreviewSecure, Keyless Application Access with Managed Identities - Now GA in Azure Files SMB
As enterprises modernize applications and strengthen their security posture, identity is central to how applications access shared storage. Traditional identity models relying on account keys, stored credentials, or domain‑joined infrastructure add operational overhead and introduce security risks such as credential leakage, lack of identity attribution, and excessive privilege if shared keys are compromised. Today, we are excited to announce the General Availability (GA) of Managed Identity support for Azure Files over SMB, enabling applications and virtual machines to securely access Azure Files without secrets, passwords, or key distribution. Managed Identity support enables customers to meet modern enterprise security standards without reliance on storage account keys, streamlining how organizations securely enable file‑based application access and reducing the operational overhead of filing internal exceptions. New storage accounts can support secure, identity‑based SMB access out of the box, while existing deployments can get secure by enabling Managed Identity authentication. From web application workloads such as WordPress, to databases on Azure Kubernetes Service (AKS), to CI/CD pipelines, applications require secure access. In a world where security is foundational, continued reliance on key-based access conflicts with Zero Trust principles and least privilege access. What’s New In GA AKS Workload Identity Support AKS Workload Identity (preview) extends the traditional managed identity model for Kubernetes by shifting the identity from the node to pods. Instead of inheriting the identity of the underlying cluster, each Kubernetes pod can use its own federated identity, mapped directly to a Microsoft Entra ID principal. This feature enables: Pod-level identity isolation, rather than cluster-level Least-privilege access with secure RBAC Seamless scaling and redeployment, without identity reconfiguration No secrets, no key rotation, no credential injection When combined with Azure Files over SMB, Workload Identity allows AKS workloads to access shared file storage securely and natively per pod, using the same identity-driven model as cluster level managed identities. Now available with AKS 1.35, for customers specifically in the financial services industries, AKS Workload Identity enables per‑application, least‑privilege access to Azure Files without credentials, improving isolation and auditability. This allows regulated, stateful workloads to run securely on AKS while meeting strict compliance and regulatory requirements. Co-existence of Application Identities and end-user identity access Azure Files now enables both Managed Identity and end‑user access on the same storage account, with users and applications independently authenticated via Entra ID and authorized through a shared permissions model. This unified access model eliminates the need for duplicate storage or credentials, enabling secure collaboration, troubleshooting, and automation on shared data without compromising governance or compliance. This supports scenarios such as: Developers accessing the same file share as an application for debugging Admins managing content used by automated workflows Hybrid environments with user-driven and app-driven access Simplified Storage Account enablement via the Azure portal We have now added a dedicated Managed Identity property that makes enabling identity‑based SMB access simple and transparent via the Azure portal for new as well as existing storage accounts. With a single configuration at the storage account level, customers can allow applications to authenticate to Azure Files using Managed Identities. This portal experience supports incremental adoption, making it easy to modernize authentication while maintaining compatibility with existing user access and governance models. Get Started with Managed Identities with SMB Azure Files Start using Managed Identities with Azure Files today at no additional cost. This feature is supported on HDD and SSD SMB shares across all billing models. Refer to our documentation for complete set-up guidance. Whether provisioning new storage or enhancing existing deployments, this capability provides secure, enterprise‑grade access with a streamlined configuration experience. For any questions, reach out to the team at azurefiles@microsoft.com.
Public Preview: Ephemeral OS Disk with full caching for VM/VMSS
Today, we’re excited to announce the public preview of Ephemeral OS disk with full caching, a new feature designed to significantly enhance performance and reliability by utilizing local storage. This feature is ideal for IO-sensitive stateless workloads, as it eliminates dependency on remote storage by caching the entire OS image on local storage. Key Advantages: High Performance: Provides extremely high-performance OS disks with consistently fast response times. Reliability: Ensures high availability, making it suitable for critical workloads. Why Full OS Caching? Currently, Ephemeral OS disks store OS writes locally but still rely on a remote base OS image for reads. With Ephemeral OS Disk with full caching, the entire OS disk image is cached on local storage, removing the dependency on remote storage for OS disk reads. Once caching is complete, all OS disk IO is served locally. This results in: Consistently fast OS disk performance with low‑millisecond latency Improved resilience during remote storage disruptions No impact to VM create times, as caching happens asynchronously after boot This capability is well suited for IO-sensitive stateless workloads that need fast OS disk access, including: AI workloads Quorum‑based databases Data analytics and real‑time processing systems Large‑scale stateless services on General Purpose VM families These workloads benefit directly from lower OS disk latency and reduced exposure to remote storage outages. How It Works? When full OS caching is enabled: VM’s Local storage (cache disk, resource disk, or NVMe disk) is used to host the full OS disk Local storage capacity is reduced by 2× the OS disk size to accommodate OS caching The OS disk is cached in the background after VM boot, ensuring fast provisioning All OS disk IOs happen on the local storage, thus providing 10X better IO performance and resiliency to storage interruptions Public Preview Availability During public preview, Ephemeral OS disk with full caching is available for most general purpose VM SKUs (excluding 2‑vCPUs and 4‑vCPUs VMs) in 29 regions - AustraliaCentral, AustraliaCentral2, AustraliaSouthEast, BrazilSoutheast, CanadaCentral, CanadaEast, CentralIndia, CentralUSEUAP, EastAsia, GermanyWestCentral, JapanEast, JioIndiaCentral, JioIndiaWest, KoreaCentral, KoreaSouth, MalaysiaSouth, MexicoCentral, NorthEurope, NorwayWest, QatarCentral, SouthAfricaNorth, SwedenCentral, SwitzerlandWest, TaiwanNorth, UAECentral, UKSouth, UKWest, WestCentralUS, and WestIndia. We’re continuing to expand support across regions, and tooling as we move toward general availability. Getting Started Customers can enable Ephemeral OS disk with full caching when creating new VMs or VMSS by updating their ARM templates or REST API definitions and setting the enableFullCaching flag for Ephemeral OS disks. ARM template to create VMs with full caching: "resources": [ "name": "[parameters('virtualMachineName')]", "type": "Microsoft.Compute/virtualMachines", "apiVersion": "2025-04-01", .. .. "osDisk": { "diffDiskSettings": { "option": "Local", "placement": "ResourceDisk", "enableFullCaching": true }, "caching": "ReadOnly", "createOption": "FromImage", "managedDisk": { "storageAccountType": "StandardSSD_LRS" } } ARM template to create VMSS with full caching: "resources": [ "name": "[parameters('vmssName')]", "type": "Microsoft.Compute/virtualMachineScaleSets", "apiVersion": "2025-04-01", .. .. "osDisk": { "diffDiskSettings": { "option": "Local", "placement": "ResourceDisk", "enableFullCaching": true }, "caching": "ReadOnly", "createOption": "FromImage", "managedDisk": { "storageAccountType": "StandardSSD_LRS" } } Your feedback during public preview will help shape the final experience.Microsoft at NVIDIA GTC 2026
Microsoft returns to NVIDIA GTC 2026 in San Jose with a strong presence across conference sessions, in‑booth theater talks, live demos, and executive‑level ancillary events. Together with NVIDIA and our partner ecosystem, Microsoft is showcasing how Azure AI infrastructure enables AI training, inference, and production at global scale. Visit us at Booth #521 to see the latest innovations in action and connect with Azure and NVIDIA experts. Exclusive GTC Experiences LEGO® Datacenter Model Explore Azure AI infrastructure at the Park Container. Candy Lounge Visit the high-traffic candy wall for co-branded treats all day long. Networking Lounge Relax and recharge with comfy seating and vital charging options. Outdoor Juice Truck Free, refreshing beverages served during outdoor park hours. Sponsored Breakout Sessions Microsoft Featured Reinventing Semiconductor Design with Microsoft Discovery S82398 · Mon, Mar 16 · 4:00 PM Prashant Varshney Microsoft · Semiconductor & AI Engineering Abstract: Semiconductor teams face exploding design complexity and shrinking verification windows. This session shows how the Microsoft Discovery AI for Science platform, combined with Synopsys Agent Engineers, introduces an agentic approach to EDA that automates routine steps and accelerates expert decision-making on Azure. Microsoft Featured Operationalizing Agentic AI at Hyperscale S82399 · Tue, Mar 17 · 1:00 PM Nitin Nagarkatte Microsoft · Azure AI Infrastructure Anand Raman Microsoft · Azure AI Vipul Modi Microsoft · AI Systems Abstract: As enterprises move to agentic systems, the challenge shifts to operating intelligent agents reliably at scale. This session demonstrates how Microsoft builds AI Factories on Azure using NVIDIA technology and explores Microsoft Foundry as the control plane for deploying and operating coordinated AI agents. Live from GTC: AI Podcast Dayan Rodriguez Corporate Vice President Global Manufacturing and Mobility Alistair Spiers General Manager Azure Infrastructure Live Special Feature A conversation with Microsoft Azure Listen & Subscribe: aka.ms/GTC2026Podcast Scan to Listen Earned Conference Sessions Don't miss these high-impact sessions where Microsoft and NVIDIA leaders discuss the future of AI factories and infrastructure. Mon · Mar 16 5:00 PM Drive Optimal Tokens per Watt on AI Infrastructure Using Benchmarking Recipes Speakers: Paul Edwards, Emily Potyraj Microsoft, NVIDIA Tue · Mar 17 9:00 AM Autonomous AI Factories: Technical Preview of Agent-Native Production Speakers: JP Vasseur, César Martinez Spessot NVIDIA, Microsoft Research Tue · Mar 17 4:00 PM The Road to Intelligent Mobility: Vehicle GenAI Speakers: Raj Paul, Thomas Evans, Bryan Goodman Microsoft, NVIDIA, Bosch Wed · Mar 18 9:00 AM Supercharging AI with Multi-Gigawatt AI Factories Speakers: Gilad Shainer, Peter Salanki, Evan Burness NVIDIA, CoreWeave, Meta, Microsoft Daily Booth Theater Schedule Visit the Microsoft Theater for lightning talks from engineering leaders and partners. Monday, March 16 2:00 PM BTH208 · NVIDIA Accelerate AI Innovation on Azure with NVIDIA Run:ai — Rob Magno 2:30 PM BTH202 · General Robotics Models to Machines: Deploying Agentic AI in Real-World Robotics — Dinesh Narayanan 3:00 PM BTH200 · Fractal Analytics From Generalist to Enterprise-Ready: Fractal Builds Domain AI — C. Chaudhuri 3:30 PM BTH109 · Microsoft Agentic cloud ops - Smarter Operations with Azure Copilot — Jyoti Sharma 4:00 PM BTH103 · Microsoft Build a Deep Research Agent for Enterprise Data — D. Casati, A. Slutsky, H. Alkemade 4:30 PM BTH205 · NetApp Azure NetApp Files: Powering Your Data for AI Capabilities — Andy Chan 5:00 PM BTH207 · NVIDIA The Agentic Commerce Stack: Open Models on Azure — Antonio Martinez 5:30 PM BTH217 · OPAQUE Confidential AI on Azure Unlocks Sovereign AI at Scale — Aaron Fulkerson 6:00 PM BTH218 · Simplismart Making BYOC work at scale with modular inference — Amritanshu Jain 6:30 PM Expo Reception Tuesday, March 17 1:30 PM BTH100 · Microsoft From Open Weights to Enterprise Scale: Open-Source Models — Sharmila Chockalingam 2:00 PM BTH212 · Personal AI Unlocking the power of memory in Teams with Personal AI — Sam Harkness 2:30 PM BTH111 · Microsoft / NVIDIA Scalable LLM Inference on AKS Using NVIDIA Dynamo — Mohamad Al jazaery, Anton Slutsky 3:00 PM BTH204 · Mistral AI Innovate with Mistral AI on Microsoft Foundry — Ian Mathew 3:30 PM BTH104 · Microsoft GPU-Accelerated CFD at Scale: Star-CCM+ on Azure — Jason Scheffelmaer 4:00 PM BTH206 · NeuBird AI Agentic AI for Incident Response on Microsoft Azure — Grant Griffiths 4:30 PM BTH101 · GitHub Agentic DevOps: Evolving software with GitHub Copilot — Glenn Wester 5:00 PM BTH209 · Rescale Real-World AI Physics: GM & NVIDIA on Rescale — Dinal Perera 5:30 PM BTH107 · Microsoft Intro to LoRA Fine-Tuning on Azure — Christin Pohl 6:30 PM Raffle Wednesday, March 18 1:00 PM BTH219 · VAST Data Scaling AI Infrastructure on Azure with VAST Data — Jason Vallery 1:30 PM BTH110 · Microsoft Physical AI and Robotics: The Next Frontier — F. Miller, C. Souche, D. Narayanan 2:00 PM BTH105 · Microsoft Sovereign AI options with Azure Local — Kim Lam 2:30 PM BTH108 · Microsoft Automating HPC Workflows with Copilot Agents — Param Shah 3:00 PM BTH102 · Microsoft Trustworthy Multi-Agent Workflows with Microsoft Foundry — Brian Benz 4:00 PM BTH106 · Microsoft Scaling Enterprise AI on ARO with NVIDIA H100 & H200 — Lachie Evenson 4:30 PM BTH211 · WEKA Hybrid AI Data Orchestration with WEKA NeuralMesh™ — Desiree Campbell 5:00 PM BTH202 · Hammerspace NVIDIA AI Enterprise Software with NIM — Mike Bloom 5:30 PM BTH203 · Kinaxis Reimagining Global Supply Planning with Azure — Dane Henshall 6:00 PM BTH214 · AT&T Connected AI on Azure for Manufacturing — Brad Pritchett 6:30 PM Raffle Thursday, March 19 11:00 AM BTH210 · Wandelbots Physical AI: Powering Software-Defined Automation in Robotics — Marwin Kunz, Martin George 11:30 AM Raffle Explore Our Demo Pods Visit the Microsoft booth to see our technology in action with live demonstrations across four dedicated pod areas. POD 1 Azure AI Infrastructure End‑to‑end AI infrastructure for training and inference at scale, featuring the latest NVIDIA GPU integrations on Azure. POD 2 Microsoft Foundry Our comprehensive platform for building, deploying, and operating agentic AI systems with enterprise reliability. POD 3 Building AI Together Showcasing joint Microsoft and NVIDIA solutions across diverse industries, from manufacturing to retail. POD 4 Startups Powering AI Discover how innovative startups are running next‑generation AI workloads on the Azure platform. Ancillary Events & Networking Join Microsoft leadership and our partner ecosystem at these curated networking experiences. Click the location to view on Bing Maps. Sun · Mar 15 6:00 PM Microsoft for Startups Executive Leadership Dinner 📍 Morton’s Steakhouse, San Jose Exclusive gathering for startup leaders and Microsoft executives. Mon · Mar 16 1:30 PM Microsoft × NVIDIA Open Meet 📍 Signia by Hilton · International Suite Strategic alignment session for Microsoft and NVIDIA executives. Mon · Mar 16 7:30 PM Microsoft + NVIDIA Executive Dinner 📍 Il Fornaio, San Jose Executive dinner for key customers and leadership teams. Tue · Mar 17 11:00 AM to 1:00 PM Microsoft AI Luncheon: Research, Robotics, & Real‑World AI 📍 Signia by Hilton · International Suite Invite-only: A curated executive lunch exploring the journey from AI research to physical enterprise deployments in robotics and manufacturing. Tue · Mar 17 7:30 PM Networking in AI & Tech 📍 San Pedro Square Market Community networking mixer for Microsoft teams, partners, and customers. Wed · Mar 18 10:00 AM to 1:00 PM AI Innovator’s Circle Brunch: Powering Intelligent Systems Across the Ecosystem 📍 Il Fornaio, San Jose Hosted by Microsoft & NVIDIA at GTC. Join us for an exclusive brunch and discussion on the intelligent ecosystem.
