Instances›AWS EC2›x8g›x8g.xlarge
Compute
vCPUs4
Memory64 GiB
Mem / vCPU16.00 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
x8g.medium1 vCPU · 16 GiB
x8g.large2 vCPU · 32 GiB
x8g.xlarge4 vCPU · 64 GiB
x8g.2xlarge8 vCPU · 128 GiB
x8g.4xlarge16 vCPU · 256 GiB
x8g.8xlarge32 vCPU · 512 GiB
x8g.12xlarge48 vCPU · 768 GiB
x8g.16xlarge64 vCPU · 1024 GiB
x8g.24xlarge96 vCPU · 1536 GiB
x8g.metal-24xl96 vCPU · 1536 GiB
x8g.48xlarge192 vCPU · 3072 GiB
x8g.metal-48xl192 vCPU · 3072 GiB
x8g.xlarge

The x8g.xlarge pairs 4 vCPU with 64 GiB of RAM, the 16.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "x" is the extra-memory line, "8" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the x8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in September 2024. x8g is the current generation of the x family, so there is no newer AWS size to migrate to. mh.vs2.xlarge is the closest Spot shape: 8 vCPU and 64 GiB, so 4 more vCPU and the same memory, about 92% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

x8g.xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.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$0.391$0.147$0.241$0.134$0.031
$0.360 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.081
Hong Kong$0.011
Sydney, Australia$0.469$0.132$0.289$0.160$0.131
$0.338 savings
London, UK$0.041
US West, San Jose$0.001
US Central, Dallas 2no AWS region$0.121
When to use it
Good for
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●Workloads that fit inside 64 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 64 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 16.00 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
Stop overpaying AWS. This compute costs $285/mo on AWS vs $23/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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Frequently asked questions