Instances›AWS EC2›im4gn›im4gn.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 937 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 25 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
im4gn.large2 vCPU · 8 GiB
im4gn.xlarge4 vCPU · 16 GiB
im4gn.2xlarge8 vCPU · 32 GiB
im4gn.4xlarge16 vCPU · 64 GiB
im4gn.8xlarge32 vCPU · 128 GiB
im4gn.16xlarge64 vCPU · 256 GiB
im4gn.large

im4gn.large is AWS's storage-optimized EC2 size at 2 vCPU and 8 GiB. In the name, "4" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "large" is the size within the im4gn family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in November 2021. im4gn is the current generation of the im family, so there is no newer AWS size to migrate to. Rackspace Spot maps this to gp.vs1.large (4 vCPU, 16 GiB), giving you 2 more vCPU and 8 GiB more memory, about 94% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

im4gn.large is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.vs1.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 diskim4gn.large 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$0.182$0.045$0.117$0.083$0.011
$0.171 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.218$0.054$0.141$0.100$0.011
$0.207 savings
London, UK$0.211$0.054$0.136$0.096$0.026
$0.185 savings
US West, San Jose$0.041
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.182$0.045$0.117$0.083$0.041
$0.141 savings
When to use it
Good for
  • ●Transactional databases with heavy random I/O
  • ●Streaming ingest that spools to local disk
  • ●Elasticsearch and OpenSearch data nodes
  • ●Workloads that fit inside 8 GiB of RAM
  • ●Jobs that want 1 × 937 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 25 Gigabit
Avoid if
  • ●The working set needs more than 8 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●More than 4.00 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.
$133/mo on AWS on-demand against $8/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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