Instances›AWS EC2›c9g›c9g.xlarge
Compute
vCPUs4
Memory8 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton5 Processor
Clock speed3.3 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth12,000 Mbps
Throughput1500 MB/s
IOPS48,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
c9g.medium1 vCPU · 2 GiB
c9g.large2 vCPU · 4 GiB
c9g.xlarge4 vCPU · 8 GiB
c9g.2xlarge8 vCPU · 16 GiB
c9g.4xlarge16 vCPU · 32 GiB
c9g.8xlarge32 vCPU · 64 GiB
c9g.12xlarge48 vCPU · 96 GiB
c9g.16xlarge64 vCPU · 128 GiB
c9g.24xlarge96 vCPU · 192 GiB
c9g.48xlarge192 vCPU · 384 GiB
c9g.metal-48xl192 vCPU · 384 GiB
c9g.xlarge

The c9g.xlarge pairs 4 vCPU with 8 GiB of RAM, the 2.00 GiB-per-vCPU ratio that marks a compute-optimized instance. In the name, "c" stands for compute, "9" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the c9g family. It runs on AWS Graviton5 Processor at 3.3 GHz, and AWS introduced it in June 2026. c9g is the current generation of the c family, so there is no newer AWS size to migrate to. ch.vs2.large on Rackspace Spot lines up one-for-one: 4 vCPU and 8 GiB, about 88% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

c9g.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$0.174$0.077$0.021
$0.153 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.036
Sydney, Australia$0.011
London, UK$0.026
US West, San Jose$0.031
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.174$0.077$0.031
$0.143 savings
When to use it
Good for
  • ●Ad serving and real-time bidding
  • ●Game servers and matchmaking
  • ●Batch processing and CI/CD runners
  • ●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 15 Gigabit
Avoid if
  • ●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.
  • ●More than 2.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
$127/mo on AWS on-demand against $15/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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