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InstanceFinder / AWS / g5.24xlarge

g5.24xlarge

EC2 instance type · 96 vCPU · 384 GiB RAM · x86_64

On-demand
$8.1440/hr
Monthly
$5,945.12/mo
vCPU
96
Memory
384 GiB
Comparable 96 vCPU / 384 GiB instances on other clouds: Azure · GCP · OCI
See g5.24xlarge in the full interactive table →

The g5.24xlarge is an EC2 instance type with 96 vCPUs and 384 GiB of memory (4 GiB per vCPU), on the x86_64 architecture. On-demand pricing starts at $8.1440/hr ($5,945.12/mo) in us-east-1. It is available in 13 AWS region(s). Not affiliated with AWS.

Pricing — on-demand, us-east-1

Hourly (USD)$8.1440
Monthly (USD, 730 h)$5,945.12
Per vCPU-hour (USD)$0.0848
Per GiB-hour (USD)$0.0212

Full specification

Familyg5
Size24xlarge
Generation5
Current GenerationNo
Bare MetalNo
Hypervisornitro
Free TierNo
BurstableNo
Dedicated HostsYes
Auto RecoveryNo
HibernationNo
Supported Usageon-demand, spot
Spot SupportedYes
Boot Modeslegacy-bios, uefi
Virt Typeshvm
Root Device Typesebs
Nitro EnclavesYes
Nitro TpmYes
Vcpu96
Cores48
Threads Per Core2
Archx86_64
Clock Ghz3.3
ProcessorAMD
Amd SevNo
Memory Gi B384
Net Perf Text50 Gigabit
Net Peak Gbps50
Net Base Gbps50
Net BurstableNo
Net Cards1
Max Eni15
Ipv4 Per Eni50
Ipv6 Per Eni50
Enarequired
Ena ExpressNo
EfaYes
Efa Count1
Encryption In TransitYes
Ebs Optimizeddefault
Ebs Encryptionsupported
Ebs Nvmerequired
Ebs Base Gbps19
Ebs Peak Gbps19
Ebs Base Iops80000
Ebs Peak Iops80000
Ebs Base M Bps2375
Ebs Peak M Bps2375
Storage Gi B3539.03
Storage Typessd
Storage Count1
Storage Nvmerequired
Gpu Count4
Gpu ModelNVIDIA A10G
Gpu Mem Gi B89.4062
Placement Strategiescluster, partition, spread
Phc SupportNo
Ipv6 SupportedYes
Instance Storage SupportedYes
Nitro Tpm Versions2.0
Gpu Mem Per Gpu Gi B22.3516
Mem Per Vcpu Gi B4
Regionsap-northeast-1, ap-northeast-2, ap-south-1, ap-southeast-2, ca-central-1, eu-central-1, eu-north-1, eu-west-1, eu-west-2, sa-east-1, us-east-1, us-east-2, us-west-2
Region Count13

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.