DCsv2-series
Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets
The DCsv2-series virtual machines help protect the confidentiality and integrity of your data and code while it’s processed in the public cloud. DCsv2-series leverage Intel® Software Guard Extensions (SGX), which enable customers to use secure enclaves for protection.
These machines are backed by 3.7 GHz Intel® Xeon E-2288G (Coffee Lake) with SGX technology. With Intel® Turbo Boost Max Technology 3.0 these machines can go up to 5.0 GHz.
Note
Hyperthreading is disabled for added security posture. Pricing is the same as Dv5 and Dsv5-series per physical core.
Example confidential use cases include: databases, blockchain, multiparty data analytics, fraud detection, anti-money laundering, usage analytics, intelligence analysis and machine learning.
Configuration
Turbo Boost Max 3.0: Supported
Hyper-Threading: Not Supported
Premium Storage: Supported
Premium Storage Caching: Supported
Live Migration: Not Supported
Memory Preserving Updates: Not Supported
VM Generation Support: Generation 2
Accelerated Networking: Not Supported
Ephemeral OS Disks: Supported
Nested Virtualization: Not Supported
Technical specifications
Size | Physical Cores | Memory GiB | Temp storage (SSD) GiB | Max data disks | Max NICs | EPC Memory MiB |
---|---|---|---|---|---|---|
Standard_DC1s_v2 | 1 | 4 | 50 | 1 | 1 | 28 |
Standard_DC2s_v2 | 2 | 8 | 100 | 2 | 1 | 56 |
Standard_DC4s_v2 | 4 | 16 | 200 | 4 | 1 | 112 |
Standard_DC8_v2 | 8 | 32 | 400 | 8 | 1 | 168 |
Get started
- Create DCsv2 VMs using the Azure portal or Azure Marketplace
- DCsv2-series VMs are Generation 2 VMs and only support
Gen2
images. - Currently available in the regions listed in Azure Products by Region.
More sizes and information
- General purpose
- Memory optimized
- Storage optimized
- GPU optimized
- High performance compute
- Previous generations
- Pricing Calculator
- More On Disk Types
Pricing Calculator : Pricing Calculator
Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.