Instances›AWS EC2›r8g›r8g.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 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
r8g.medium1 vCPU · 8 GiB
r8g.large2 vCPU · 16 GiB
r8g.xlarge4 vCPU · 32 GiB
r8g.2xlarge8 vCPU · 64 GiB
r8g.4xlarge16 vCPU · 128 GiB
r8g.8xlarge32 vCPU · 256 GiB
r8g.12xlarge48 vCPU · 384 GiB
r8g.16xlarge64 vCPU · 512 GiB
r8g.24xlarge96 vCPU · 768 GiB
r8g.metal-24xl96 vCPU · 768 GiB
r8g.48xlarge192 vCPU · 1536 GiB
r8g.metal-48xl192 vCPU · 1536 GiB
r8g.xlarge

r8g.xlarge is AWS's memory-optimized EC2 size at 4 vCPU and 32 GiB. In the name, "r" stands for RAM, "8" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the r8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in July 2024. AWS has since shipped r9g; r9g.xlarge is the direct replacement at this size. On Rackspace Spot the same shape is mh.vs2.large — 4 vCPU, 32 GiB, matched on both dimensions, about 91% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

r8g.xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.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$0.236$0.061$0.156$0.107$0.021
$0.215 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.021
Hong Kong$0.312$0.206$0.140$0.006
$0.306 savings
Sydney, Australia$0.282$0.087$0.187$0.128$0.006
$0.276 savings
London, UK$0.277$0.049$0.183$0.125$0.006
$0.271 savings
US West, San Jose$0.262$0.084$0.173$0.119$0.061
$0.201 savings
US Central, Dallas 2no AWS region$0.061
When to use it
Good for
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Workloads that fit inside 32 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 32 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●More than 8.00 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
  • ●CPU-bound work. You are paying for memory this workload will not use.
$172/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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