Instances›AWS EC2›c8g›c8g.xlarge
Compute
vCPUs4
Memory8 GiB
Mem / vCPU2.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 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
c8g.medium1 vCPU · 2 GiB
c8g.large2 vCPU · 4 GiB
c8g.xlarge4 vCPU · 8 GiB
c8g.2xlarge8 vCPU · 16 GiB
c8g.4xlarge16 vCPU · 32 GiB
c8g.8xlarge32 vCPU · 64 GiB
c8g.12xlarge48 vCPU · 96 GiB
c8g.16xlarge64 vCPU · 128 GiB
c8g.24xlarge96 vCPU · 192 GiB
c8g.metal-24xl96 vCPU · 192 GiB
c8g.48xlarge192 vCPU · 384 GiB
c8g.metal-48xl192 vCPU · 384 GiB
c8g.xlarge

The c8g.xlarge is a compute-optimized AWS EC2 instance: 4 vCPU and 8 GiB of memory, 2.00 GiB per vCPU. In the name, "c" stands for compute, "8" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the c8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in September 2024. AWS has since shipped c9g; c9g.xlarge is the direct replacement at this size, scoring 146,163 CoreMark/s against this instance's 125,039 — roughly 17% more throughput for the same vCPU count. Rackspace Spot's ch.vs2.large is a like-for-like substitute at 4 vCPU and 8 GiB, about 87% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

c8g.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$0.160$0.075$0.105$0.070$0.021
$0.139 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.200$0.134$0.093$0.036
$0.164 savings
Sydney, Australia$0.208$0.114$0.137$0.094$0.011
$0.197 savings
London, UK$0.189$0.035$0.125$0.086$0.026
$0.163 savings
US West, San Jose$0.198$0.077$0.131$0.090$0.031
$0.167 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.160$0.075$0.105$0.070$0.031
$0.129 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 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
  • ●The working set needs more than 8 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
c8g.xlarge runs $116/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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