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InstanceFinder / AWS / g5.16xlarge

g5.16xlarge

EC2 instance type · 64 vCPU · 256 GiB RAM · x86_64

On-demand
$4.0960/hr
Monthly
$2,990.08/mo
vCPU
64
Memory
256 GiB
Comparable 64 vCPU / 256 GiB instances on other clouds: Azure · GCP · OCI
See g5.16xlarge in the full interactive table →

The g5.16xlarge is an EC2 instance type with 64 vCPUs and 256 GiB of memory (4 GiB per vCPU), on the x86_64 architecture. On-demand pricing starts at $4.0960/hr ($2,990.08/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)$4.0960
Monthly (USD, 730 h)$2,990.08
Per vCPU-hour (USD)$0.0640
Per GiB-hour (USD)$0.0160

Full specification

Familyg5
Size16xlarge
Generation5
Current GenerationNo
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
Vcpu64
Cores32
Threads Per Core2
Archx86_64
Clock Ghz3.3
ProcessorAMD
Amd SevNo
Memory Gi B256
Net Perf Text25 Gigabit
Net Peak Gbps25
Net Base Gbps25
Net BurstableNo
Net Cards1
Max Eni8
Ipv4 Per Eni30
Ipv6 Per Eni30
Enarequired
Ena ExpressNo
EfaYes
Efa Count1
Encryption In TransitYes
Ebs Optimizeddefault
Ebs Encryptionsupported
Ebs Nvmerequired
Ebs Base Gbps16
Ebs Peak Gbps16
Ebs Base Iops65000
Ebs Peak Iops65000
Ebs Base M Bps2000
Ebs Peak M Bps2000
Storage Gi B1769.51
Storage Typessd
Storage Count1
Storage Nvmerequired
Gpu Count1
Gpu ModelNVIDIA A10G
Gpu Mem Gi B22.3516
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.