NV4ads V710 v5
api name Standard_NV4ads_V710_v5 · Azure Virtual Machines · NVadsV710v5 family
The NV4ads V710 v5 is a gpu & accelerated Azure Virtual Machines VM size with 4 vCPUs and 16 GiB of memory, 1/6 × AMD Radeon Pro V710, running on AMD EPYC, starting at $0.333 per hour on demand.
- vCPUs
- 4
- memory
- 16 GiB
- gpu
- 1/6× Radeon Pro V710
- on-demand
- $0.333
- spot
- $0.0615
- 1-yr reserved
- $0.2583
dedicated
4 GiB per vCPU
4.67 GiB total
$243/mo · eastus
−82% vs on-demand
−22% vs on-demand
NV4ads V710 v5 price by region
7 regions · hourly list prices in USD · On-demand · Spot · 1-yr Reserved · 3-yr Reserved · 1-yr Savings plan · 3-yr Savings plan
| East USeastuscheapestreferenceNorth America | $0.333 | $0.0615 | $0.2583 | $0.1833 | $0.2731 | $0.2131 |
| North Central USnorthcentralusNorth America | $0.40 | $0.0739 | $0.31 | $0.22 | $0.328 | $0.256 |
| South Central USsouthcentralusNorth America | $0.40 | $0.0739 | $0.31 | $0.22 | $0.328 | $0.256 |
| Spain CentralspaincentralEurope | $0.433 | $0.08 | $0.3358 | $0.2383 | $0.3551 | $0.2771 |
| West EuropewesteuropeEurope | $0.433 | $0.08 | $0.3358 | $0.2383 | $0.3551 | $0.2771 |
| West USwestusNorth America | $0.433 | $0.08 | $0.3358 | $0.2383 | $0.3551 | $0.2771 |
| Australia EastaustraliaeastOceania | $0.483 | $0.0893 | $0.3745 | $0.2658 | $0.3961 | $0.3091 |
Specifications
compute
- vCPUs
- 4
- Memory
- 16 GiB
- Memory per vCPU
- 4 GiB
- Processor
- AMD EPYC
- CPU vendor
- AMD
- Architecture
- x86-64
- Burstable CPU
- No
storage & network
- Local storage
- 256 GB SSD
- Storage detail
- 256 GiB temporary disk
accelerators
- Model
- AMD Radeon Pro V710
- Count
- 1/6
- Memory (total)
- 4.67 GiB
- Architecture
- RDNA 3
- Vendor
- AMD
azure details
- API name
Standard_NV4ads_V710_v5- Family
- NVadsV710v5
- Category
- GPU & accelerated
- Generation
- Current
- Regions
- 7 (Europe, North America, Oceania)
- Cheapest region
- East US · $0.333/hr
- Premium SSD support
- Yes
NV4ads V710 v5 equivalents on other clouds
closest match by vCPU, memory, CPU architecture, accelerator and class · Linux on-demand in each provider's reference region
| Provider | Instance | vCPU | Memory | Processor | On-demand | vs NV4ads V710 v5 |
|---|---|---|---|---|---|---|
| Azure | NV4ads V710 v5 | 4 | 16 GiB | 1/6 × AMD Radeon Pro V710 | $0.333 | – |
| AWS | g6f.xlargeNVIDIA L4 · 0.125× GPU | 4 | 16 GiB | 1/8 × NVIDIA L4 | $0.2375 | -29% |
NVadsV710v5 family sizes
| Size | vCPU | Memory | Accelerator | Local storage | On-demand | Monthly | Spot | 1-yr |
|---|---|---|---|---|---|---|---|---|
| NV4ads V710 v5 | 4 | 16 GiB | 1/6 × AMD Radeon Pro V710 | 256 GB SSD | $0.333 | $243 | $0.0615 | $0.2583 |
| NV8ads v710 v5 | 8 | 32 GiB | 1/3 × AMD Radeon Pro V710 | 512 GB SSD | $0.667 | $487 | $0.1233 | $0.5167 |
| NV12ads v710 v5 | 12 | 64 GiB | 1/2 × AMD Radeon Pro V710 | 768 GB SSD | $1.00 | $730 | $0.1848 | $0.775 |
| NV24ads V710 v5 | 24 | 128 GiB | 1 × AMD Radeon Pro V710 | 1.5 TB SSD | $2.00 | $1,460 | $0.3696 | $1.55 |
| NV28ads v710 v5 | 28 | 160 GiB | 1 × AMD Radeon Pro V710 | 1.5 TB SSD | $2.40 | $1,752 | $0.4435 | $1.86 |
NV4ads V710 v5 FAQ
How much does NV4ads V710 v5 cost?
NV4ads V710 v5 costs $0.333 per hour on demand with Linux in East US (eastus), about $243 per month. Across 7 regions the Linux on-demand price ranges from $0.333 in East US to $0.483 in Australia East. Spot capacity costs $0.0615 per hour (82% less), but can be reclaimed. A 1-yr Reserved commitment brings it to $0.2583 per hour. With Windows it costs $0.517 per hour.
How many vCPUs and how much memory does NV4ads V710 v5 have?
NV4ads V710 v5 has 4 vCPUs and 16 GiB of memory (4 GiB per vCPU), running on AMD EPYC. It is a gpu & accelerated VM size in the NVadsV710v5 family.
What GPU does NV4ads V710 v5 have?
NV4ads V710 v5 has 1/6 × AMD Radeon Pro V710 with 4.67 GiB of accelerator memory in total.
What are the equivalents of NV4ads V710 v5 on other clouds?
The closest matches by vCPU, memory, CPU architecture, accelerator and instance class are on AWS, g6f.xlarge (4 vCPU, 16 GiB, $0.2375/hour in US East (N. Virginia)).