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InstanceFinder / AWS / p5.4xlarge

p5.4xlarge

EC2 instance type · 16 vCPU · 256 GiB RAM · x86_64

On-demand
$6.8800/hr
Monthly
$5,022.40/mo
vCPU
16
Memory
256 GiB
Comparable 16 vCPU / 256 GiB instances on other clouds: Azure · GCP · OCI
See p5.4xlarge in the full interactive table →

The p5.4xlarge is an EC2 instance type with 16 vCPUs and 256 GiB of memory (16 GiB per vCPU), on the x86_64 architecture. On-demand pricing starts at $6.8800/hr ($5,022.40/mo) in us-east-1. It is available in 8 AWS region(s). Not affiliated with AWS.

Pricing — on-demand, us-east-1

Hourly (USD)$6.8800
Monthly (USD, 730 h)$5,022.40
Per vCPU-hour (USD)$0.4300
Per GiB-hour (USD)$0.0269

Full specification

Familyp5
Size4xlarge
Generation5
Current GenerationYes
Bare MetalNo
Hypervisornitro
Free TierNo
BurstableNo
Dedicated HostsNo
Auto RecoveryNo
HibernationNo
Supported Usagecapacity-block, on-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 Ghz3.6
ProcessorAMD
Amd SevNo
Memory Gi B256
Net Perf Text100 Gigabit
Net Peak Gbps100
Net Base Gbps100
Net BurstableNo
Net Cards1
Max Eni4
Ipv4 Per Eni30
Ipv6 Per Eni30
Enarequired
Ena ExpressYes
EfaYes
Efa Count1
Encryption In TransitYes
Ebs Optimizeddefault
Ebs Encryptionsupported
Ebs Nvmerequired
Ebs Base Gbps10
Ebs Peak Gbps10
Ebs Base Iops32500
Ebs Peak Iops32500
Ebs Base M Bps1250
Ebs Peak M Bps1250
Storage Gi B3539.03
Storage Typessd
Storage Count1
Storage Nvmerequired
Gpu Count1
Gpu ModelNVIDIA H100
Gpu Mem Gi B80
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 B80
Mem Per Vcpu Gi B16
Regionsap-northeast-1, ap-south-1, ap-southeast-2, eu-west-2, sa-east-1, us-east-1, us-east-2, us-west-2
Region Count8

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.