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InstanceFinder / AWS / g7.8xlarge

g7.8xlarge

EC2 instance type · 32 vCPU · 128 GiB RAM · x86_64

On-demand
$4.0862/hr
Monthly
$2,982.96/mo
vCPU
32
Memory
128 GiB
Comparable 32 vCPU / 128 GiB instances on other clouds: Azure · GCP · OCI
See g7.8xlarge in the full interactive table →

The g7.8xlarge is an EC2 instance type with 32 vCPUs and 128 GiB of memory (4 GiB per vCPU), on the x86_64 architecture. On-demand pricing starts at $4.0862/hr ($2,982.96/mo) in us-east-1. It is available in 3 AWS region(s). Not affiliated with AWS.

Pricing — on-demand, us-east-1

Hourly (USD)$4.0862
Monthly (USD, 730 h)$2,982.96
Per vCPU-hour (USD)$0.1277
Per GiB-hour (USD)$0.0319

Full specification

Familyg7
Size8xlarge
Generation7
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
Vcpu32
Cores32
Threads Per Core1
Archx86_64
Clock Ghz3.9
ProcessorIntel
Amd SevNo
Memory Gi B128
Net Perf Text80 Gigabit
Net Peak Gbps100
Net Base Gbps85
Net BurstableNo
Net Cards1
Max Eni10
Ipv4 Per Eni64
Ipv6 Per Eni64
Enarequired
Ena ExpressNo
EfaYes
Efa Count1
Encryption In TransitYes
Ebs Optimizeddefault
Ebs Encryptionsupported
Ebs Nvmerequired
Ebs Base Gbps16
Ebs Peak Gbps16
Ebs Base Iops64000
Ebs Peak Iops64000
Ebs Base M Bps2000
Ebs Peak M Bps2000
Storage Gi B866.13
Storage Typessd
Storage Count1
Storage Nvmerequired
Gpu Count1
Gpu ModelNVIDIA RTX PRO 4500
Gpu Mem Gi B32
Valid Cores1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32
Valid Threads Per Core1
Placement Strategiescluster, partition, spread
Phc SupportNo
Ipv6 SupportedYes
Instance Storage SupportedYes
Nitro Tpm Versions2.0
Gpu Mem Per Gpu Gi B32
Mem Per Vcpu Gi B4
Regionsus-east-1, us-east-2, us-west-2
Region Count3

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.