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InstanceFinder / AWS / g6e.4xlarge

g6e.4xlarge

EC2 instance type · 16 vCPU · 128 GiB RAM · x86_64

On-demand
$3.0042/hr
Monthly
$2,193.10/mo
vCPU
16
Memory
128 GiB
Comparable 16 vCPU / 128 GiB instances on other clouds: Azure · GCP · OCI
See g6e.4xlarge in the full interactive table →

The g6e.4xlarge is an EC2 instance type with 16 vCPUs and 128 GiB of memory (8 GiB per vCPU), on the x86_64 architecture. On-demand pricing starts at $3.0042/hr ($2,193.10/mo) in us-east-1. It is available in 9 AWS region(s). Not affiliated with AWS.

Pricing — on-demand, us-east-1

Hourly (USD)$3.0042
Monthly (USD, 730 h)$2,193.10
Per vCPU-hour (USD)$0.1878
Per GiB-hour (USD)$0.0235

Full specification

Familyg6e
Size4xlarge
Generation6
Current GenerationYes
Bare MetalNo
Hypervisornitro
Free TierNo
BurstableNo
Dedicated HostsNo
Auto RecoveryNo
HibernationNo
Supported Usageon-demand, spot
Spot SupportedYes
Boot Modeslegacy-bios, uefi
Virt Typeshvm
Root Device Typesebs
Nitro EnclavesYes
Nitro TpmYes
Vcpu16
Cores8
Threads Per Core2
Archx86_64
Clock Ghz3.4
ProcessorAMD
Amd SevNo
Memory Gi B128
Net Perf Text20 Gigabit
Net Peak Gbps20
Net Base Gbps20
Net BurstableNo
Net Cards1
Max Eni8
Ipv4 Per Eni30
Ipv6 Per Eni30
Enarequired
Ena ExpressNo
EfaNo
Encryption In TransitYes
Ebs Optimizeddefault
Ebs Encryptionsupported
Ebs Nvmerequired
Ebs Base Gbps8
Ebs Peak Gbps8
Ebs Base Iops32000
Ebs Peak Iops32000
Ebs Base M Bps1000
Ebs Peak M Bps1000
Storage Gi B558.79
Storage Typessd
Storage Count1
Storage Nvmerequired
Gpu Count1
Gpu ModelNVIDIA L40S
Gpu Mem Gi B44.7031
Valid Cores1, 2, 3, 4, 5, 6, 7, 8
Valid Threads Per Core1, 2
Placement Strategiescluster, partition, spread
Phc SupportNo
Ipv6 SupportedYes
Instance Storage SupportedYes
Nitro Tpm Versions2.0
Gpu Mem Per Gpu Gi B44.7031
Mem Per Vcpu Gi B8
Regionsap-northeast-1, ap-northeast-2, ap-northeast-3, ap-south-1, eu-central-1, eu-north-1, us-east-1, us-east-2, us-west-2
Region Count9

On-demand price shown for us-east-1, USD, refreshed 2026-07-23T21:04:02+00:00. Prices and availability vary by region and OS — use the interactive table for the rest.