Instances›AWS EC2›c7gn›c7gn.2xlarge
Compute
vCPUs8
Memory16 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton3 Processor
Clock speed2.6 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 50 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
c7gn.medium1 vCPU · 2 GiB
c7gn.large2 vCPU · 4 GiB
c7gn.xlarge4 vCPU · 8 GiB
c7gn.2xlarge8 vCPU · 16 GiB
c7gn.4xlarge16 vCPU · 32 GiB
c7gn.8xlarge32 vCPU · 64 GiB
c7gn.12xlarge48 vCPU · 96 GiB
c7gn.16xlarge64 vCPU · 128 GiB
c7gn.metal64 vCPU · 128 GiB
c7gn.2xlarge

The c7gn.2xlarge pairs 8 vCPU with 16 GiB of RAM, the 2.00 GiB-per-vCPU ratio that marks a compute-optimized instance. In the name, "c" stands for compute, "7" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "2xlarge" is the size within the c7gn family. It runs on AWS Graviton3 Processor at 2.6 GHz, and AWS introduced it in June 2023. AWS has since shipped c8gn and c9g; c8gn.2xlarge is the direct replacement at this size. ch.vs2.xlarge on Rackspace Spot lines up one-for-one: 8 vCPU and 16 GiB, $0.499/hr on AWS in US East (N. Virginia), from $0.006/hr on Rackspace Spot.

Match qualityx86 substitution

c7gn.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$0.499$0.144$0.315$0.181$0.006
$0.493 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.041
Hong Kong$0.061
Sydney, Australia$0.016
London, UK$0.592$0.372$0.251$0.021
$0.571 savings
US West, San Jose$0.001
US Central, Dallas 2no AWS region$0.061
US East, N. Virginia 2$0.499$0.144$0.315$0.181$0.081
$0.418 savings
When to use it
Good for
  • ●High-traffic web and API serving
  • ●Scientific modelling and simulation
  • ●Ad serving and real-time bidding
  • ●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 50 Gigabit
Avoid if
  • ●Starting a new deployment. c8gn.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
  • ●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.
$364/mo on AWS on-demand against $4/mo on Rackspace Spot for the equivalent — market-priced, not list-priced.
  • 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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