a1.xlarge

Amazon EC2 · A1 family

The a1.xlarge is a general purpose Amazon EC2 instance type with 4 vCPUs and 8 GiB of memory, running on AWS Graviton Processor with up to 10 Gigabit networking, starting at $0.102 per hour on demand.

general purposearm64aws gravitonprevious generation
vCPUs
4

dedicated

memory
8 GiB

2 GiB per vCPU

processor
Graviton

2.3 GHz

on-demand
$0.102

$74.46/mo · us-east-1

spot
$0.056

−45% vs on-demand

regions
9

across 4 areas

Previous generation. AWS still sells a1.xlarge, but newer families usually give more performance per dollar. See the similar instance types below.

a1.xlarge price by region

9 regions · hourly list prices in USD · On-demand · Spot · 1-yr Reserved · 3-yr Reserved

Asia Pacific (Mumbai)ap-south-1cheapestAsia$0.102$0.0319
US East (N. Virginia)us-east-1cheapestreferenceNorth America$0.102$0.056
US East (Ohio)us-east-2cheapestNorth America$0.102$0.0365
US West (Oregon)us-west-2cheapestNorth America$0.102$0.0501
EU (Ireland)eu-west-1Europe$0.1152$0.0536
EU (Frankfurt)eu-central-1Europe$0.1164$0.0442
Asia Pacific (Singapore)ap-southeast-1Asia$0.1176$0.0597
Asia Pacific (Tokyo)ap-northeast-1Asia$0.1284$0.0305
Asia Pacific (Sydney)ap-southeast-2Oceania$0.1332$0.0562

Specifications

compute

vCPUs
4
Memory
8 GiB
Memory per vCPU
2 GiB
Processor
AWS Graviton Processor
CPU vendor
AWS Graviton
Architecture
Arm64
Clock speed
2.3 GHz
Burstable CPU
No

storage & network

Local storage
Network storage only
Storage detail
EBS only
Network
Up to 10 Gigabit
Peak bandwidth
10 Gbps

aws details

API name
a1.xlarge
Family
A1
Category
General purpose
Generation
Previous
Regions
9 (Asia, Europe, North America, Oceania)
Cheapest region
Asia Pacific (Mumbai) · $0.102/hr
Dedicated EBS throughput
Up to 3500 Mbps
Enhanced networking
Yes
Normalization size factor
8
Spot interruption rate (us-east-1)
>20%
Spot savings vs on-demand (us-east-1)
0%

a1.xlarge 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 a1.xlarge
AWSa1.xlarge48 GiBAWS Graviton Processor$0.102–
AzureD4pls v648 GiBAzure Cobalt 100$0.124+22%
D4pls v548 GiBAmpere Altra$0.136+33%
Google Cloudn4a-highcpu-448 GiBGoogle Axion$0.1299+27%
c4a-highcpu-448 GiBGoogle Axion$0.1515+49%
AkamaiDedicated 8GBx86 CPU48 GiBAMD EPYC$0.108+6%
G7 Dedicated 8x4x86 CPU48 GiBAMD EPYC$0.129+26%
Vultrvoc-c-4c-8gb-75s-amdx86 CPU48 GiBAMD EPYC$0.11+8%
voc-c-4c-8gb-150s-amdx86 CPU48 GiBAMD EPYC$0.123+21%

A1 family sizes

all about A1→
SizevCPUMemoryLocal storageOn-demandMonthlySpot
a1.medium12 GiB–$0.0255$18.62$0.0109
a1.large24 GiB–$0.051$37.23$0.0242
a1.xlarge48 GiB–$0.102$74.46$0.056
a1.2xlarge816 GiB–$0.204$149$0.1029
a1.4xlarge1632 GiB–$0.408$298$0.1986
a1.metal1632 GiB–$0.408$298$0.1723

Similar instance types on AWS

other AWS families with a similar shape, cheapest first

a1.xlarge FAQ

How much does a1.xlarge cost?

a1.xlarge costs $0.102 per hour on demand with Linux in US East (N. Virginia) (us-east-1), about $74.46 per month. Across 9 regions the Linux on-demand price ranges from $0.102 in Asia Pacific (Mumbai) to $0.1332 in Asia Pacific (Sydney). Spot capacity costs $0.056 per hour (45% less), but can be reclaimed.

How many vCPUs and how much memory does a1.xlarge have?

a1.xlarge has 4 vCPUs and 8 GiB of memory (2 GiB per vCPU), running on AWS Graviton Processor. It is a general purpose instance type in the A1 family.

What is the cheapest region for a1.xlarge?

Asia Pacific (Mumbai) (ap-south-1) at $0.102 per hour for Linux on demand. a1.xlarge is sold in 9 AWS regions.

What are the equivalents of a1.xlarge on other clouds?

The closest matches by vCPU, memory, CPU architecture and instance class are on Azure, D4pls v6 (4 vCPU, 8 GiB, $0.124/hour in East US); on Google Cloud, n4a-highcpu-4 (4 vCPU, 8 GiB, $0.1299/hour in Iowa); on Akamai, Dedicated 8GB (4 vCPU, 8 GiB, $0.108/hour in Newark, NJ); on Vultr, voc-c-4c-8gb-75s-amd (4 vCPU, 8 GiB, $0.11/hour in New Jersey).