AWS Amazon EC2

c6g.2xlarge

Part of the C6G Compute Optimized family — High-performance processors for compute-intensive applications.

Name:cCompute Optimized66th GenerationgAWS Graviton2xlarge2 Extra Large

On-demand, Linux

$0.1704/ hr

~$124.39/mo · lowest in Asia Pacific (Hyderabad), ap-south-2

Savings Plan, Linux

$0.0875/ hr

From, with a 3-year Compute Savings Plan, No Upfront: −49% vs on-demand rate (ap-south-2)

Per unit

$0.0213/ vCPU-hr

$0.0106/GB-hr

Compute

8vCPUs

8 cores • arm64

Memory

16GB

2.0 GB / vCPU

Network

Up to 10 Gbps

Baseline: 2.5 Gbps

Storage & EBS

593.75MB/s

Max: 20,000 IOPS

Alternatives to c6g.2xlarge

Option	Price vs c6g.2xlarge	Why look at it
c6i.2xlarge Compare →	+25%+$0.068/hr Linux on-demand, us-east-1	Intel (x86_64), same vCPU and RAM
c6a.2xlarge Compare →	+12%+$0.034/hr Linux on-demand, us-east-1	AMD (x86_64), same vCPU and RAM
c7g.2xlarge Compare →	+7%+$0.018/hr Linux on-demand, us-east-1	Newer generation, same vCPU and RAM
c8g.2xlarge Compare →	+17%+$0.047/hr Linux on-demand, us-east-1	Newer generation, same vCPU and RAM

On Google Cloud

The nearest Google Cloud machines to c6g.2xlarge by vCPU and memory, at On-demand Linux rates in Northern Virginia (us-east-1 ↔ us-east4).

Machine	Size	On-demand Linux	vs c6g.2xlarge
c6g.2xlargeThis page · AWS, us-east-1	8 vCPU · 16 GiB	$0.2720/hr	—
n4a-highcpu-8same 8 vCPU and 16 GiB; Arm on both	8 vCPU · 16 GiB	$0.25984/hr	4.5% less
c4a-highcpu-8same 8 vCPU and 16 GiB; Arm on both	8 vCPU · 16 GiB	$0.30304/hr	11% more
n4d-highcpu-8same 8 vCPU and 16 GiB; Arm (arm64) vs AMD (x86_64); 8 physical cores vs 4	8 vCPU · 16 GiB	$0.28584/hr	5.1% more

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 Graviton2 Processor

Architecturearm64 (ARM64 (Graviton))

vCPUs / Threads8 vCPUs

Physical Cores8

Clock Speed2.5 GHz

Intel AVX / AVX2No

Intel Turbo BoostNo

Bare MetalNo (Virtualized)

Performance & Benchmarks

CoreMark Score152,497

CoreMark / vCPU19,062.1 / core

FFmpeg Transcoding50 FPS

CoreMark per Dollar894,935 score / $

Cost per vCPU-hr$0.0213

Cost per GB-hr$0.0106

Containers & Kubernetes

EKS Max Pods58 pods

Max ENIs4

IPv4/v6 per ENI15

Total Addressable IPs60 total IPs

CNI Prefix DelegationSupported (High Density)

Networking & Bandwidth

Network PerformanceUp to 10 Gbps

Baseline Bandwidth2.5 Gbps

Burst / Peak Bandwidth10 Gbps

Enhanced NetworkingYes

EFA SupportNo

IPv6 SupportNative Dual-Stack Supported

Storage & EBS Optimization

Storage ConfigurationEBS only

Local NVMe DiskNone (EBS only)

EBS Baseline Throughput296.875 MB/s

EBS Max Throughput593.75 MB/s

EBS Baseline IOPS12,000

EBS Max / Burst IOPS20,000

Dedicated EBS ThroughputUp to 4500 Mbps

Platform & Architecture Details

Hypervisor / SystemAWS Nitro System (PCIe Offload)

Nitro EnclavesSupported (Isolated security enclaves)

Normalization Factor16

Generation StatusCurrent Generation (Recommended)

Rates by region

Live on-demand rates across all global AWS cloud regions

Lowest Price Region

$0.1704/ hr

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

Highest Price Region

$0.4192/ hr

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

Global Fleet Average

$0.3103/ hr

Across all active regions

Regional Coverage

36regions

Available worldwide

Linux — Available in all 36 regions
Region	On-Demand Price	% vs On-Demand Rate
af-south-1 Africa (Cape Town)	$0.3648
ap-east-1 Asia Pacific (Hong Kong)	$0.3440
ap-south-2 Asia Pacific (Hyderabad) Lowest	$0.1704
ap-southeast-3 Asia Pacific (Jakarta)	$0.3136
ap-southeast-5 Asia Pacific (Malaysia)	$0.2666
ap-southeast-4 Asia Pacific (Melbourne)	$0.3552
ap-south-1 Asia Pacific (Mumbai) Lowest	$0.1704
ap-southeast-6 Asia Pacific (New Zealand)	$0.3730
ap-northeast-3 Asia Pacific (Osaka)	$0.3440
ap-northeast-2 Asia Pacific (Seoul)	$0.3080
ap-southeast-1 Asia Pacific (Singapore)	$0.3136
ap-southeast-2 Asia Pacific (Sydney)	$0.3552
ap-east-2 Asia Pacific (Taipei)	$0.3082
ap-southeast-7 Asia Pacific (Thailand)	$0.2666
ap-northeast-1 Asia Pacific (Tokyo)	$0.3424
us-gov-east-1 AWS GovCloud (US-East)	$0.3264
us-gov-west-1 AWS GovCloud (US-West)	$0.3264
ca-central-1 Canada (Central)	$0.2976
ca-west-1 Canada West (Calgary)	$0.2976
eu-central-1 EU (Frankfurt)	$0.3104
eu-west-1 EU (Ireland)	$0.2918
eu-west-2 EU (London)	$0.3232
eu-south-1 EU (Milan)	$0.3232
eu-west-3 EU (Paris)	$0.3240
eu-north-1 EU (Stockholm)	$0.2920
eu-south-2 Europe (Spain)	$0.2918
eu-central-2 Europe (Zurich)	$0.3414
il-central-1 Israel (Tel Aviv)	$0.3064
mx-central-1 Mexico (Central)	$0.2856
me-south-1 Middle East (Bahrain)	$0.3400
me-central-1 Middle East (UAE)	$0.3210
sa-east-1 South America (Sao Paulo) Highest	$0.4192
us-east-1 US East (N. Virginia)	$0.2720
us-east-2 US East (Ohio)	$0.2720
us-west-1 US West (N. California)	$0.3392
us-west-2 US West (Oregon)	$0.2720

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 c6g.2xlarge on Linux is 51% of the on-demand rate, so the instance has to run at least 51% 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.