vx1-g-4c-16g-240s

Vultr Cloud Compute · VX1: General Purpose family

The vx1-g-4c-16g-240s is a general purpose Vultr Cloud Compute plan with 4 vCPUs and 16 GiB of memory, running on AMD EPYC with 15 gbps networking, starting at $0.153 per hour on demand.

general purposex86-64amd
vCPUs
4

dedicated

memory
16 GiB

4 GiB per vCPU

processor
AMD

x86-64

on-demand
$0.153

$112/mo · ewr

preemptible
–

not offered

regions
12

across 4 areas

vx1-g-4c-16g-240s price by region

12 regions · hourly list prices in USD · On-demand · Preemptible

AmsterdamamscheapestEurope$0.153
AtlantaatlcheapestNorth America$0.153
ChicagoordcheapestNorth America$0.153
FrankfurtfracheapestEurope$0.153
LondonlhrcheapestEurope$0.153
MilanmxpcheapestEurope$0.153
New JerseyewrcheapestreferenceNorth America$0.153
PariscdgcheapestEurope$0.153
SeattleseacheapestNorth America$0.153
Silicon ValleysjccheapestNorth America$0.153
SydneysydcheapestOceania$0.153
TokyonrtcheapestAsia$0.153

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
240 GB NVME
Storage detail
240 GB NVMe
Network
15 Gbps
Peak bandwidth
15 Gbps
Transfer included
6 TB / month

vultr details

API name
vx1-g-4c-16g-240s
Category
General purpose
Generation
Current
Regions
12 (Asia, Europe, North America, Oceania)
Cheapest region
Tokyo · $0.153/hr

vx1-g-4c-16g-240s equivalents on other clouds

closest match by vCPU, memory, CPU architecture, accelerator and class · Linux on-demand in each provider's reference region

compare side by side→
ProviderInstancevCPUMemoryProcessorOn-demandvs vx1-g-4c-16g-240s
Vultrvx1-g-4c-16g-240s416 GiBAMD EPYC$0.153–
AWSm5ad.xlarge416 GiBAMD EPYC 7571$0.206+35%
m5d.xlarge416 GiBIntel Xeon Platinum 8175$0.226+48%
AzureD4as v4416 GiBAMD EPYC 7452 (Rome)$0.192+25%
D4a v4416 GiBAMD EPYC 7452 (Rome)$0.192+25%
Google Cloudc3-standard-4-lssd416 GiBIntel Sapphire Rapids$0.2427+59%
c4-standard-4-lssd15 GiB (1.1× less)415 GiBIntel Emerald Rapids, Intel Granite Rapids$0.2799+83%
AkamaiG8 Dedicated 16x4416 GiBAMD EPYC$0.21+37%
Dedicated 8GB8 GiB (2× less)48 GiBAMD EPYC$0.108-29%

VX1: General Purpose family sizes

all about VX1: General Purpose→
SizevCPUMemoryLocal storageOn-demandMonthly
vx1-g-2c-8g28 GiB–$0.06$43.80
vx1-g-2c-8g-120s28 GiB120 GB NVME$0.076$55.48
vx1-g-4c-16g416 GiB–$0.12$87.60
vx1-g-4c-16g-240s416 GiB240 GB NVME$0.153$112
vx1-g-8c-32g832 GiB–$0.24$175
vx1-g-8c-32g-480s832 GiB480 GB NVME$0.306$223
vx1-g-16c-64g1664 GiB–$0.48$350
vx1-g-16c-64g-960s1664 GiB960 GB NVME$0.612$447
vx1-g-32c-128g32128 GiB–$0.96$701
vx1-g-32c-128g-1920sfra32128 GiB1.9 TB NVME$1.223$893
vx1-g-48c-192g48192 GiB–$1.44$1,051
vx1-g-48c-192g-2880sfra48192 GiB2.9 TB NVME$1.835$1,340
vx1-g-64c-256g64256 GiB–$1.92$1,402
vx1-g-64c-256g-3840ssea64256 GiB3.8 TB NVME$2.446$1,786
vx1-g-96c-384g96384 GiB–$2.88$2,102
vx1-g-192c-768gatl192768 GiB–$5.76$4,205

Similar plans on Vultr

other Vultr families with a similar shape, cheapest first

vx1-g-4c-16g-240s FAQ

How much does vx1-g-4c-16g-240s cost?

vx1-g-4c-16g-240s costs $0.153 per hour on demand with Linux in New Jersey (ewr), about $112 per month. Across 12 regions the Linux on-demand price ranges from $0.153 in Tokyo to $0.153 in Sydney.

How many vCPUs and how much memory does vx1-g-4c-16g-240s have?

vx1-g-4c-16g-240s has 4 vCPUs and 16 GiB of memory (4 GiB per vCPU), running on AMD EPYC. It is a general purpose plan in the VX1: General Purpose family.

What is the cheapest region for vx1-g-4c-16g-240s?

Tokyo (nrt) at $0.153 per hour for Linux on demand. vx1-g-4c-16g-240s is sold in 12 Vultr regions.

What are the equivalents of vx1-g-4c-16g-240s on other clouds?

The closest matches by vCPU, memory, CPU architecture and instance class are on AWS, m5ad.xlarge (4 vCPU, 16 GiB, $0.206/hour in US East (N. Virginia)); on Azure, D4as v4 (4 vCPU, 16 GiB, $0.192/hour in East US); on Google Cloud, c3-standard-4-lssd (4 vCPU, 16 GiB, $0.2427/hour in Iowa); on Akamai, G8 Dedicated 16x4 (4 vCPU, 16 GiB, $0.21/hour in Newark, NJ).