Instances›AWS EC2›c6gn›c6gn.large
Compute
vCPUs2
Memory4 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth9,500 Mbps
Throughput1187.5 MB/s
IOPS40,000
Networking
PerformanceUp to 25 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
c6gn.medium1 vCPU · 2 GiB
c6gn.large2 vCPU · 4 GiB
c6gn.xlarge4 vCPU · 8 GiB
c6gn.2xlarge8 vCPU · 16 GiB
c6gn.4xlarge16 vCPU · 32 GiB
c6gn.8xlarge32 vCPU · 64 GiB
c6gn.12xlarge48 vCPU · 96 GiB
c6gn.16xlarge64 vCPU · 128 GiB
c6gn.metal64 vCPU · 128 GiB
c6gn.large

c6gn.large is AWS's compute-optimized EC2 size at 2 vCPU and 4 GiB. In the name, "c" stands for compute, "6" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "large" is the size within the c6gn family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in December 2020. AWS has since shipped c7gn, c8gn and c9g; c7gn.large is the direct replacement at this size. On Rackspace Spot the same shape is ch.vs2.medium — 2 vCPU, 4 GiB, matched on both dimensions, $0.086/hr on AWS in US East (N. Virginia), from $0.002/hr on Rackspace Spot.

Match qualityx86 substitution

c6gn.large is Graviton (arm64). Rackspace Spot does not have arm64 servers, so ch.vs2.medium 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$0.086$0.029$0.054$0.037$0.002
$0.084 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.011
Hong Kong$0.115$0.072$0.053$0.061
$0.054 savings
Sydney, Australia$0.113$0.042$0.071$0.052$0.061
$0.052 savings
London, UK$0.102$0.026$0.065$0.051$0.016
$0.086 savings
US West, San Jose$0.108$0.029$0.068$0.051$0.011
$0.097 savings
US Central, Dallas 2no AWS region$0.011
US East, N. Virginia 2$0.086$0.029$0.054$0.037$0.011
$0.075 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 4 GiB of RAM
  • ●Small, steady services that do not need more than 2 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 25 Gigabit
Avoid if
  • ●Starting a new deployment. c7gn.large is the newer generation at this size.
  • ●The working set needs more than 4 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.
Stop overpaying AWS. This compute costs $63/mo on AWS vs $1/mo on Rackspace Spot.
  • 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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