AWS Amazon EC2

c8g.12xlarge

Part of the C8G Compute Optimized family — High-performance processors for compute-intensive applications.

Name:cCompute Optimized88th GenerationgAWS Graviton12xlarge12 Extra Large

On-demand, Linux

$1.2955/ hr

~$945.73/mo · lowest in Asia Pacific (Hyderabad), ap-south-2

Savings Plan, Linux

$0.67258/ hr

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

Per unit

$0.0270/ vCPU-hr

$0.0135/GB-hr

Compute

48vCPUs

48 cores • arm64

Memory

96GB

2.0 GB / vCPU

Network

22.5 Gbps

Baseline: 22.5 Gbps

Storage & EBS

1,875MB/s

Max: 60,000 IOPS

Alternatives to c8g.12xlarge

Option	Price vs c8g.12xlarge	Why look at it
m8g.12xlarge Compare →	+13%+$0.24/hr Linux on-demand, us-east-1	Different instance family, 192 GiB RAM instead of 96, same vCPU
r8g.12xlarge Compare →	+48%+$0.913/hr Linux on-demand, us-east-1	Different instance family, 384 GiB RAM instead of 96, same vCPU
c7g.12xlarge Compare →	-9%-$0.174/hr Linux on-demand, us-east-1	Previous generation, same vCPU and RAM
c6g.12xlarge Compare →	-15%-$0.282/hr Linux on-demand, us-east-1	Older generation, same vCPU and RAM

On Google Cloud

The nearest Google Cloud machines to c8g.12xlarge by vCPU and memory, at On-demand Linux rates in Northern Virginia (us-east-1 ↔ us-east4).

Machine	Size	On-demand Linux	vs c8g.12xlarge
c8g.12xlargeThis page · AWS, us-east-1	48 vCPU · 96 GiB	$1.91424/hr	—
n4a-highcpu-48same 48 vCPU and 96 GiB; Arm on both	48 vCPU · 96 GiB	$1.55904/hr	19% less
c4a-highcpu-48same 48 vCPU and 96 GiB; Arm on both	48 vCPU · 96 GiB	$1.81824/hr	5.0% less
n4d-highcpu-48same 48 vCPU and 96 GiB; Arm (arm64) vs AMD (x86_64); 48 physical cores vs 24	48 vCPU · 96 GiB	$1.71504/hr	10% 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 Graviton4 Processor

Architecturearm64 (ARM64 (Graviton))

vCPUs / Threads48 vCPUs

Physical Cores48

Clock Speed2.7 GHz

Intel AVX / AVX2No

Intel Turbo BoostNo

Bare MetalNo (Virtualized)

Performance & Benchmarks

CoreMark Score1,371,723

CoreMark / vCPU28,577.6 / core

FFmpeg Transcoding293 FPS

CoreMark per Dollar1,058,820 score / $

Cost per vCPU-hr$0.0270

Cost per GB-hr$0.0135

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 Performance22.5 Gbps

Baseline Bandwidth22.5 Gbps

Burst / Peak Bandwidth22.5 Gbps

Enhanced NetworkingYes

EFA SupportNo

IPv6 SupportNative Dual-Stack Supported

Storage & EBS Optimization

Storage ConfigurationEBS only

Local NVMe DiskNone (EBS only)

EBS Baseline Throughput1875 MB/s

EBS Max Throughput1875 MB/s

EBS Baseline IOPS60,000

EBS Max / Burst IOPS60,000

Dedicated EBS Throughput15000 Mbps

Platform & Architecture Details

Hypervisor / SystemAWS Nitro System (PCIe Offload)

Nitro EnclavesSupported (Isolated security enclaves)

Normalization Factor96

Generation StatusCurrent Generation (Recommended)

Rates by region

Live on-demand rates across all global AWS cloud regions

Lowest Price Region

$1.2955/ hr

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

Highest Price Region

$2.9323/ hr

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

Global Fleet Average

$2.1774/ hr

Across all active regions

Regional Coverage

33regions

Available worldwide

Linux — Available in all 33 regions
Region	On-Demand Price	% vs On-Demand Rate
af-south-1 Africa (Cape Town)	$2.5584
ap-east-1 Asia Pacific (Hong Kong)	$2.4024
ap-south-2 Asia Pacific (Hyderabad) Lowest	$1.2955
ap-southeast-3 Asia Pacific (Jakarta)	$2.1991
ap-southeast-5 Asia Pacific (Malaysia)	$1.8691
ap-southeast-4 Asia Pacific (Melbourne)	$2.4907
ap-south-1 Asia Pacific (Mumbai) Lowest	$1.2955
ap-southeast-6 Asia Pacific (New Zealand)	$2.6155
ap-northeast-3 Asia Pacific (Osaka)	$2.4010
ap-northeast-2 Asia Pacific (Seoul)	$2.1542
ap-southeast-1 Asia Pacific (Singapore)	$2.1994
ap-southeast-2 Asia Pacific (Sydney)	$2.4912
ap-east-2 Asia Pacific (Taipei)	$2.1610
ap-southeast-7 Asia Pacific (Thailand)	$1.8691
ap-northeast-1 Asia Pacific (Tokyo)	$2.4014
us-gov-east-1 AWS GovCloud (US-East)	$2.2891
us-gov-west-1 AWS GovCloud (US-West)	$2.2891
ca-central-1 Canada (Central)	$2.0870
ca-west-1 Canada West (Calgary)	$2.0870
eu-central-1 EU (Frankfurt)	$2.1768
eu-west-1 EU (Ireland)	$2.0467
eu-west-2 EU (London)	$2.2666
eu-south-1 EU (Milan)	$2.2613
eu-west-3 EU (Paris)	$2.2666
eu-north-1 EU (Stockholm)	$2.0424
eu-south-2 Europe (Spain)	$2.0462
eu-central-2 Europe (Zurich)	$2.3947
il-central-1 Israel (Tel Aviv)	$2.1490
sa-east-1 South America (Sao Paulo) Highest	$2.9323
us-east-1 US East (N. Virginia)	$1.9142
us-east-2 US East (Ohio)	$1.9075
us-west-1 US West (N. California)	$2.3789
us-west-2 US West (Oregon)	$1.9142

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 c8g.12xlarge 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.