AWS Amazon EC2

c7g.4xlarge

Part of the C7G Compute Optimized family — High-performance processors for compute-intensive applications.

Name:cCompute Optimized77th GenerationgAWS Graviton4xlarge4 Extra Large

On-demand, Linux

$0.3926/ hr

~$286.60/mo · lowest in Asia Pacific (Hyderabad), ap-south-2

Savings Plan, Linux

$0.2038/ hr

From, with a 3-year Compute Savings Plan, No Upfront: −48% vs on-demand rate (ap-south-2)

Per unit

$0.0245/ vCPU-hr

$0.0123/GB-hr

Compute

16vCPUs

16 cores • arm64

Memory

32GB

2.0 GB / vCPU

Network

Up to 15 Gbps

Baseline: 7.5 Gbps

Storage & EBS

1,250MB/s

Max: 40,000 IOPS

Alternatives to c7g.4xlarge

Option	Price vs c7g.4xlarge	Why look at it
c7i.4xlarge Compare →	+23%+$0.134/hr Linux on-demand, us-east-1	Intel (x86_64), same vCPU and RAM
c7a.4xlarge Compare →	+42%+$0.241/hr Linux on-demand, us-east-1	AMD (x86_64), same vCPU and RAM
c7i-flex.4xlarge Compare →	+17%+$0.0983/hr Linux on-demand, us-east-1	Intel (x86_64), same vCPU and RAM
m7g.4xlarge Compare →	+13%+$0.0728/hr Linux on-demand, us-east-1	Different instance family, 64 GiB RAM instead of 32, same vCPU

On Google Cloud

The nearest Google Cloud machines to c7g.4xlarge by vCPU and memory, at On-demand Linux rates in Northern Virginia (us-east-1 ↔ us-east4).

Machine	Size	On-demand Linux	vs c7g.4xlarge
c7g.4xlargeThis page · AWS, us-east-1	16 vCPU · 32 GiB	$0.5800/hr	—
n4a-highcpu-16same 16 vCPU and 32 GiB; Arm on both	16 vCPU · 32 GiB	$0.51968/hr	10% less
c4a-highcpu-16same 16 vCPU and 32 GiB; Arm on both	16 vCPU · 32 GiB	$0.60608/hr	4.5% more
n4d-highcpu-16same 16 vCPU and 32 GiB; Arm (arm64) vs AMD (x86_64); 16 physical cores vs 8	16 vCPU · 32 GiB	$0.57168/hr	1.4% less

Matched on vCPU and memory, then CPU vendor, then rate; a larger size is offered only when nothing is the same size. On-demand Linux only: Spot and commitments work differently on the two clouds, so they aren't compared here.

Technical Specifications & Limits

Hardware specs, container thresholds, and system limits

Compute & Processor

ProcessorAWS Graviton3 Processor

Architecturearm64 (ARM64 (Graviton))

vCPUs / Threads16 vCPUs

Physical Cores16

Clock Speed2.5 GHz

Intel AVX / AVX2No

Intel Turbo BoostNo

Bare MetalNo (Virtualized)

Performance & Benchmarks

CoreMark Score413,330

CoreMark / vCPU25,833.1 / core

FFmpeg Transcoding133 FPS

CoreMark per Dollar1,052,802 score / $

Cost per vCPU-hr$0.0245

Cost per GB-hr$0.0123

Containers & Kubernetes

EKS Max Pods234 pods

Max ENIs8

IPv4/v6 per ENI30

Total Addressable IPs240 total IPs

CNI Prefix DelegationSupported (High Density)

Networking & Bandwidth

Network PerformanceUp to 15 Gbps

Baseline Bandwidth7.5 Gbps

Burst / Peak Bandwidth15 Gbps

Enhanced NetworkingYes

EFA SupportNo

IPv6 SupportNative Dual-Stack Supported

Storage & EBS Optimization

Storage ConfigurationEBS only

Local NVMe DiskNone (EBS only)

EBS Baseline Throughput625 MB/s

EBS Max Throughput1250 MB/s

EBS Baseline IOPS20,000

EBS Max / Burst IOPS40,000

Dedicated EBS ThroughputUp to 10000 Mbps

Platform & Architecture Details

Hypervisor / SystemAWS Nitro System (PCIe Offload)

Nitro EnclavesSupported (Isolated security enclaves)

Normalization Factor32

Generation StatusCurrent Generation (Recommended)

Rates by region

Live on-demand rates across all global AWS cloud regions

Lowest Price Region

$0.3926/ hr

Asia Pacific (Mumbai) (ap-south-1)

Highest Price Region

$0.8886/ hr

South America (Sao Paulo) (sa-east-1)

Global Fleet Average

$0.6572/ hr

Across all active regions

Regional Coverage

34regions

Available worldwide

Linux — Available in all 34 regions
Region	On-Demand Price	% vs On-Demand Rate
af-south-1 Africa (Cape Town)	$0.7752
ap-east-1 Asia Pacific (Hong Kong)	$0.7280
ap-south-2 Asia Pacific (Hyderabad) Lowest	$0.3926
ap-southeast-3 Asia Pacific (Jakarta)	$0.6664
ap-southeast-5 Asia Pacific (Malaysia)	$0.5664
ap-south-1 Asia Pacific (Mumbai) Lowest	$0.3926
ap-southeast-6 Asia Pacific (New Zealand)	$0.7926
ap-northeast-3 Asia Pacific (Osaka)	$0.7276
ap-northeast-2 Asia Pacific (Seoul)	$0.6528
ap-southeast-1 Asia Pacific (Singapore)	$0.6664
ap-southeast-2 Asia Pacific (Sydney)	$0.7549
ap-east-2 Asia Pacific (Taipei)	$0.6549
ap-southeast-7 Asia Pacific (Thailand)	$0.5664
ap-northeast-1 Asia Pacific (Tokyo)	$0.7277
us-gov-east-1 AWS GovCloud (US-East)	$0.6936
us-gov-west-1 AWS GovCloud (US-West)	$0.6936
ca-central-1 Canada (Central)	$0.6325
ca-west-1 Canada West (Calgary)	$0.6325
eu-central-1 EU (Frankfurt)	$0.6596
eu-west-1 EU (Ireland)	$0.6202
eu-west-2 EU (London)	$0.6869
eu-south-1 EU (Milan)	$0.6852
eu-west-3 EU (Paris)	$0.6869
eu-north-1 EU (Stockholm)	$0.6189
eu-south-2 Europe (Spain)	$0.6200
eu-central-2 Europe (Zurich)	$0.7256
il-central-1 Israel (Tel Aviv)	$0.6512
mx-central-1 Mexico (Central)	$0.6090
me-south-1 Middle East (Bahrain)	$0.7181
sa-east-1 South America (Sao Paulo) Highest	$0.8886
us-east-1 US East (N. Virginia)	$0.5800
us-east-2 US East (Ohio)	$0.5781
us-west-1 US West (N. California)	$0.7208
us-west-2 US West (Oregon)	$0.5800

Savings Plans: what to know

A Savings Plan commits you to a dollar amount per hour of spend for one or three years, not to an instance: usage up to that amount is billed at the plan's rates and the rest at on-demand, and unused commitment is still billed.
A Compute Savings Plan follows your usage across instance families, sizes, regions and operating systems; an EC2 Instance Savings Plan is locked to one family in one region in exchange for a lower rate (what that flexibility costs).
In Asia Pacific (Hyderabad) (ap-south-2), the 3-year Compute Savings Plan rate (No Upfront) for c7g.4xlarge on Linux is 52% of the on-demand rate, so the instance has to run at least 52% of the hours for the commitment to cost less than on-demand.
Rates are AWS's effective hourly rate for each payment option; All Upfront pays the whole term's commitment at purchase, which is why its hourly rate is lower; Partial Upfront (at least half up front) isn't shown on this page. The Savings Plans calculator has all three and sizes a commitment for this instance or a mix of them. How AWS applies a plan each hour: how Compute Savings Plans decide what they cover. Sizing one for elastic workloads: managing Compute Savings Plans.