Instances›AWS EC2›i8g›i8g.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
Type1 × 937 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
i8g.large2 vCPU · 16 GiB
i8g.xlarge4 vCPU · 32 GiB
i8g.2xlarge8 vCPU · 64 GiB
i8g.4xlarge16 vCPU · 128 GiB
i8g.8xlarge32 vCPU · 256 GiB
i8g.12xlarge48 vCPU · 384 GiB
i8g.16xlarge64 vCPU · 512 GiB
i8g.24xlarge96 vCPU · 768 GiB
i8g.metal-24xl96 vCPU · 768 GiB
i8g.48xlarge192 vCPU · 1536 GiB
i8g.metal-48xl192 vCPU · 1536 GiB
i8g.xlarge

i8g.xlarge is AWS's storage-optimized EC2 size at 4 vCPU and 32 GiB. In the name, "i" is I/O, meaning local storage, "8" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the i8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in December 2024. i8g is the current generation of the i family, so there is no newer AWS size to migrate to. On Rackspace Spot the same shape is mh.vs2.large — 4 vCPU, 32 GiB, matched on both dimensions, about 94% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

i8g.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.

No local diski8g.xlarge comes with 1 × 937 GB NVMe SSD attached to the machine. Spot nodes use network storage only, so that disk doesn't come with it. If you were using it as fast scratch space, you'd move to a persistent volume or object storage, which are slower to read.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.343$0.107$0.021
$0.322 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.021
Hong Kong$0.006
Sydney, Australia$0.411$0.134$0.006
$0.405 savings
London, UK$0.398$0.092$0.006
$0.392 savings
US West, San Jose$0.061
US Central, Dallas 2no AWS region$0.061
When to use it
Good for
  • ●Elasticsearch and OpenSearch data nodes
  • ●NoSQL stores such as Cassandra, ScyllaDB and MongoDB
  • ●Data warehousing and log processing
  • ●Workloads that fit inside 32 GiB of RAM
  • ●Jobs that want 1 × 937 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 10 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
  • ●GPU or FPGA acceleration is needed
  • ●Workloads that never touch local disk. The instance-store premium is wasted.
$251/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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