Azure Daldsv7 VM sizes

Daldsv7 is a general purpose Azure Virtual Machines family with 10 VM sizes, from 2 – 160 vCPUs and 4 GiB – 512 GiB of memory, running on AMD EPYC 9005 (Turin). Linux on demand starts at $0.0952 per hour.

general purposex86-64
sizes
10
vCPUs
2 – 160
memory
4 GiB – 512 GiB
processor
AMD EPYC 9005 (Turin)
on-demand from
$0.0952

per hour · 33 regions

Daldsv7 sizes and prices

Linux, hourly, East US (other regions on each size's page)

SizevCPUMemoryLocal storageOn-demandMonthlySpot1-yr
D2alds v724 GiB110 GB SSD$0.0952$69.50$0.0185$0.0562
D4alds v748 GiB220 GB SSD$0.19$139$0.0369$0.1123
D8alds v7816 GiB440 GB SSD$0.381$278$0.0739$0.2247
D16alds v71632 GiB880 GB SSD$0.762$556$0.1478$0.4493
D32alds v73264 GiB1.8 TB SSD$1.523$1,112$0.2955$0.8987
D48alds v74896 GiB2.6 TB SSD$2.285$1,668$0.4433$1.348
D64alds v764128 GiB3.5 TB SSD$3.046$2,224$0.5909$1.797
D96alds v796192 GiB5.3 TB SSD$4.57$3,336$0.8866$2.696
D128alds v7128512 GiB7 TB SSD$6.093$4,448$1.182$3.595
D160alds v7160320 GiB8.8 TB SSD$7.616$5,560$1.478$4.493

Daldsv7 equivalents on other clouds

closest match to D32alds v7 (32 vCPU, 64 GiB)

AWSc5ad.8xlargeC5ad family · 32 vCPU · 64 GiB$1.376/hr · US East (N. Virginia)C5ad family →
Google Cloudn4d-highcpu-32N4D family · 32 vCPU · 64 GiB$1.143/hr · IowaN4D family →
AkamaiDedicated 64GBDedicated CPU family · 32 vCPU · 64 GiB$0.864/hr · Newark, NJDedicated CPU family →
Vultrvoc-c-32c-64gb-500s-amdOptimized Cloud: CPU Optimized family · 32 vCPU · 64 GiB$0.877/hr · New JerseyOptimized Cloud: CPU Optimized family →

Other general purpose families on Azure

Daldsv7 FAQ

What sizes does the Azure Daldsv7 family have?

Daldsv7 has 10 VM sizes, from D2alds v7 (2 vCPU, 4 GiB) to D160alds v7 (160 vCPU, 320 GiB). They run on AMD EPYC 9005 (Turin).

What is the cheapest Daldsv7 VM size?

D2alds v7 at $0.0952 per hour (Linux, on demand) in East US, about $69.50 per month.

What is Daldsv7 best for?

Daldsv7 is a general purpose family. Balanced CPU and memory (about 4 GiB per vCPU) for web apps, services and most workloads.