Instances›AWS EC2›c7g›c7g.2xlarge
Compute
vCPUs8
Memory16 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 15 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.2xlarge

c7g.2xlarge is AWS's compute-optimized EC2 size at 8 vCPU and 16 GiB. In the name, "c" stands for compute, "7" is the generation, "g" marks AWS Graviton (ARM) processors and "2xlarge" 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.2xlarge is the direct replacement at this size, scoring 236,897 CoreMark/s against this instance's 199,104 — roughly 19% more throughput for the same vCPU count. On Rackspace Spot the same shape is ch.vs2.xlarge — 8 vCPU, 16 GiB, matched on both dimensions, $0.290/hr on AWS in US East (N. Virginia), from $0.006/hr on Rackspace Spot.

Match qualityx86 substitution

c7g.2xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so ch.vs2.xlarge 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$0.290$0.104$0.191$0.127$0.006
$0.284 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.041
Hong Kong$0.364$0.243$0.169$0.061
$0.303 savings
Sydney, Australia$0.377$0.178$0.249$0.172$0.016
$0.361 savings
London, UK$0.343$0.042$0.227$0.156$0.021
$0.322 savings
US West, San Jose$0.360$0.138$0.238$0.164$0.001
$0.359 savings
US Central, Dallas 2no AWS region$0.061
US East, N. Virginia 2$0.290$0.104$0.191$0.127$0.081
$0.209 savings
When to use it
Good for
  • ●Scientific modelling and simulation
  • ●Ad serving and real-time bidding
  • ●Game servers and matchmaking
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Parallel work that can occupy 8 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●Starting a new deployment. c8g.2xlarge is the newer generation at this size.
  • ●The working set needs more than 16 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●GPU or FPGA acceleration is needed
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
  • ●More than 2.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
c7g.2xlarge runs $212/mo on AWS on-demand. The equivalent on Rackspace Spot: $4/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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