Instances›AWS EC2›c7g›c7g.xlarge
Compute
vCPUs4
Memory8 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
c7g.medium1 vCPU · 2 GiB
c7g.large2 vCPU · 4 GiB
c7g.xlarge4 vCPU · 8 GiB
c7g.2xlarge8 vCPU · 16 GiB
c7g.4xlarge16 vCPU · 32 GiB
c7g.8xlarge32 vCPU · 64 GiB
c7g.12xlarge48 vCPU · 96 GiB
c7g.16xlarge64 vCPU · 128 GiB
c7g.metal64 vCPU · 128 GiB
c7g.xlarge

c7g.xlarge is AWS's compute-optimized EC2 size at 4 vCPU and 8 GiB. In the name, "c" stands for compute, "7" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the c7g family. It runs on AWS Graviton3 Processor at 2.5 GHz, and AWS introduced it in May 2022. AWS has since shipped c8g and c9g; c8g.xlarge is the direct replacement at this size, scoring 125,039 CoreMark/s against this instance's 99,782 — roughly 25% more throughput for the same vCPU count. On Rackspace Spot the same shape is ch.vs2.large — 4 vCPU, 8 GiB, matched on both dimensions, about 86% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

c7g.xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so ch.vs2.large is an x86_64 substitute with similar specs.

You will need x86 builds of your container images. Most software rebuilds without changes, but anything with compiled native code needs a real rebuild rather than a retag. Speed per core also differs between the two chips, so it is worth testing before deciding how many nodes to run.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.145$0.060$0.096$0.064$0.021
$0.124 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.182$0.122$0.084$0.036
$0.146 savings
Sydney, Australia$0.189$0.091$0.125$0.086$0.011
$0.178 savings
London, UK$0.172$0.047$0.113$0.078$0.026
$0.146 savings
US West, San Jose$0.180$0.064$0.119$0.082$0.031
$0.149 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.145$0.060$0.096$0.064$0.031
$0.114 savings
When to use it
Good for
  • ●Video encoding and transcoding
  • ●High-traffic web and API serving
  • ●Scientific modelling and simulation
  • ●Workloads that fit inside 8 GiB of RAM
  • ●Small, steady services that do not need more than 4 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 12.5 Gigabit
Avoid if
  • ●Starting a new deployment. c8g.xlarge is the newer generation at this size.
  • ●The working set needs more than 8 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
c7g.xlarge runs $106/mo on AWS on-demand. The equivalent on Rackspace Spot: $15/mo.
  • Spot sells spare capacity at market prices. It is the cheapest compute on the internet.
  • Prices are set by supply and demand. You pay what the market decides.
  • Compute is delivered as fully managed Kubernetes. All infrastructure is taken care of.
  • Egress costs $0.01/GB after the free allowance. AWS charges $0.09/GB.
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