AMD and Azure
Open new frontiers of innovation across your cloud and hybrid workloads with joint solutions from AMD and Azure
Get powerful, cost-effective solutions for a wide range of workloads
For everything from accelerating office productivity apps to fast-tracking world-changing scientific research, Azure Virtual Machines featuring AMD EPYC™ processors provide powerful, cost-effective solutions for a wide range of workloads, including:
- General-purpose enterprise-class workloads
- Database and big data applications
- Desktop virtualisation workstations
- High-performance computing (HPC)
- Confidential computing
- Hybrid cloud scenarios

"Through our collaboration with Microsoft Azure, we help cloud customers unlock performance and gain more value from their IT investment. Together, AMD and Azure enable world class capabilities across high-performance computing, visualization, and enterprise workloads."
Forrest Norrod, Senior Vice President and General Manager of the Datacenter and Embedded Solutions Business Group at AMD
"We have been using Azure Virtual Machines featuring the AMD EPYC™ processor for the past two years to run a number of business-critical applications part of the Epicor solution portfolio. We have been very pleased with the consistent performance and compelling price-performance that these VMs have been able to deliver. We are looking forward to continuing to benefit from the innovation that Microsoft Azure will make available to us, including the ability to access cost-effective Azure services that are based on the latest AMD EPYC processors."
Henrik Klemola, Director, Cloud COE Epicor
AMD-powered Azure Virtual Machines
Meet almost any performance and flexibility challenge with AMD EPYC™ CPU- and AMD Radeon Instinct™ GPU-based virtual machines (VMs).
And migrate even your open-source workloads with confidence: AMD works with the open-source community and software vendors to help ensure that apps and enabling software work exceptionally well with AMD EPYC™ processors and to provide a broad range of open tools and libraries.
Learn more about Azure and AMD cloud solutions:
Target workload | Use case | Azure VM type | Key VM specs | AMD Processors | AMD GPU |
---|---|---|---|---|---|
General purpose |
Web servers
Dev/Test Enterprise-grade apps |
Da-series | 4 GB of RAM per vCPU | Refer to the documentation | Not available |
Memory-intensive |
Relational databases
In-memory analytics Business-critical apps |
Ea-series | 8 GB of RAM per vCPU | Refer to the documentation | Not available |
High-performance computing (HPC) |
Automotive: Crash test and computational fluid dynamics (CFD) simulations
Weather modelling Oil and gas: Seismic exploration |
HBv3
HBv2 HB |
Up to 120 AMD EPYC™ 7003-series CPU cores, 448 GB of RAM per VM. Scales up to 80,000 CPUs. | 3rd Gen AMD EPYC™ | Not available |
Confidential computing |
Data protected in use
VM-level isolation |
DCa-series
ECa-series |
AMD Secure Encrypted Virtualisation-Secure Nested Paging
Full-disk encryption with Secure Key Release Virtual TPM |
3rd Gen AMD EPYC™ | Not available |
Visualisation |
Virtual desktops
Workstation graphics Rendering |
NVv4 | GPU partitioning in 1/8, 1/4, 1/2 and 1 GPU increments. | 2nd Gen AMD EPYC™ CPUs | AMD Radeon Instinct MI25™ |
Storage optimised |
NoSQL databases
Big Data/Cloud-scale analytics Large transactional databases Data warehousing |
L-series | 8 GB of RAM per vCPU and local NVMe storage | Refer to the documentation | Not available |
AMD-powered Azure Virtual Machines for your workloads
Compelling price-performance for general purpose and memory-intensive workloads
Azure Das v5 and Dav4 series VMs featuring AMD EPYC™ processors
Up to 96 vCPUs, 384 GBs of RAM, and 2,400 GBs of SSD-based storage
Example use cases: Enterprise grade apps, databases, web servers, dev/test
Azure Eas v5 and Eav4 series VMs featuring AMD EPYC™ processors
Up to 96 vCPUs, 672 GBs of RAM, and 2,400 GBs of SSD-based storage
Example use cases: Large in-memory business critical workloads like analytics, business critical apps, and relational databases such as SQL Server
Accelerate storage-intensive workloads
Azure Lasv3 series VMs featuring AMD 3rd Generation EPYC™ 7763v processor
Up to 19.2TB NVMe storage and Premium SSD support for high throughput, low latency and large local disk storage for database apps
Example use cases: NoSQL databases, big data analytics, large transactional databases and data warehousing
Additional resources
New AMD-based general purpose and memory optimised Azure Virtual Machines now available.
Read the blogMaximise value and performance when you move your SQL Server workloads to Azure Virtual Machines.
Read this Packt e-book to learn moreMicrosoft boosts Microsoft 365 performance by running Azure Virtual Machines with AMD EPYC™ processors.
Learn moreNew storage optimised Azure VMs deliver higher performance for data intensive workloads.
Read the blogAzure Data Explorer now supports AMD based VMs.
Read the announcementExplore how Azure and AMD have joined forces to help you overcome challenges and achieve more by choosing the latest Azure Virtual Machines featuring AMD EPYCTM server processors.
Learn moreModern desktop experience on the cloud
Get affordable, high-performing modern desktop experiences from the cloud with Azure NVv4 instance VMs – ideal for financial analysis, architecture, engineering and design applications. Traditional CPU-only VMs often struggle to keep up with these apps, frustrating users and reducing productivity, but until now, deploying GPU-accelerated, on-premises virtual environments has been too costly.
Powered by AMD Radeon Instinct™ GPUs and the industry’s first SR-IOV-based fractional GPU virtualisation architecture, NVv4 instances offer a choice of four configurable options to deliver the right amount of GPU capability at the right price for any enterprise workload.
NVv4 instances provide a zero-cost licence GPU partitioning on discrete GPUs in Azure.
Learn more about GPU partitioning on Azure NVv4 instances:
Provide full-power workstation experiences on the cloud
Ideal for designers, architects, engineers and other professionals who use resource- and performance-intensive applications, NVv4-based Azure virtual desktops bring the full power of traditional workstations into the cloud, regardless of the end-point device used or if working on-site or remotely.
Designed with major pro-CAD architecture, engineering, and construction (AEC) and M&E applications, Azure NVv4 instances are ISV-certified to ensure optimal performance and reliability. Zero-cost-licence GPU partitioning provides a discrete GPU experience even when fractional GPU options are deployed, making it possible to balance performance, mobility and cost.
For more information on the benefits of NVv4 for industries that requires workstation-class experiences, view the latest solution briefs:
Azure and AMD: Leading HPC in the cloud with Azure HBv2
To accelerate scientific and commercial research, discovery and innovation, Azure and AMD have collaborated to offer extensive on-demand supercomputing resources with highly scalable HPC-optimised VMs.
Azure HBv3 VMs are designed to deliver leadership-class performance, message-passing interface (MPI) scalability and cost efficiency for a variety of real-world HPC workloads such as CFD, finite element analysis, computational geoscience, rendering, weather simulation, financial risk analysis and RTL simulation.
Learn more about Azure HBv3:
- Azure HBv3 GA announcement
- Performance and scalability results
- Azure HBv3 overview with Mark Russinovich
For a wide range of HPC applications, including computational fluid dynamics and weather simulation, Azure HBv2 VMs feature 2nd generation AMD EPYC™ processors, providing 45-50 per cent more memory bandwidth than comparable x86 alternatives. HBv2 VMs also feature the cloud’s first 200 Gbps HDR InfiniBand from Mellanox for ultra-low latency and accelerated message transfer.
Learn more about Azure HBv2:
- Benchmarking results: Weather research and forecasting (WRF) in Azure
- Solution brief: Shrinking WRF time-to-results on Azure HBv2 VMs
- GitHub: Get up and running with an Azure HPC cluster
- Solution brief: Shrinking CFD time-to-results scale with STAR-CCM+ on Azure HBv2 VMs
- Walkthrough: Run STAR-CCM+ in an Azure HPC cluster
- Azure HPC Cache: Run flexible, file-based workloads in Azure
- Blog: HBv2 eclipses 80,000 core milestone
- ServetheHome: Microsoft Azure HBv2 HPC Features AMD EPYC™ 7002 and Mellanox Report
Azure DCasv5 and ECasv5 series VMs allow you to move your existing workloads to Azure and make them confidential without changing any code. With the latest advancement in AMD SEV technologies called Secure Nested Paging (SEV-SNP), the contents of entire VMs are opaque to cloud administrators for secure and isolated computation. The runtime state of these VMs is fully encrypted, protecting your data even when it's in use. The keys used for this RAM encryption are generated inside the CPU and never leave it.
Learn more about the Azure DCasv5 and ECasv5 series:
AMD and Azure: Hybrid cloud partnership
Modernise aging server and storage infrastructure, consolidate virtualised workloads and gain cloud efficiencies on-premises. AMD and Azure hyperconverged solutions bring together software-defined compute, storage and networking on industry-standard x86 servers and components. Validated hardware options make it possible for enterprises to gain the benefits of Azure Stack HCI solutions, powered by the performance of AMD EPYC™ processors, from within their own, purpose-built data centres.
Azure – AMD cloud visualisation solutions
Find extensively validated NVv4 VM remote protocol and infrastructure management solutions for Windows Remote Desktop (RDP) 10, Teradici PCoIP and HDX 3D Pro, and graphics API support for DirectX 9-12, OpenGL 4.6 and Vulkan 1.1:
Azure – AMD HPC solutions
Fully provision your HPC environment, including end-user applications, workload managers, job schedulers and storage software. Visit HPC on Azure for an implementation checklist, or view these solutions:
Partners: Grow your cloud business
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Learn more and enrol in the Cloud Solution Provider programme
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