Instances›AWS EC2›m8gn›m8gn.xlarge
Compute
vCPUs4
Memory16 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton4 Processor
Clock speed2.8 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 40 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
m8gn.medium1 vCPU · 4 GiB
m8gn.large2 vCPU · 8 GiB
m8gn.xlarge4 vCPU · 16 GiB
m8gn.2xlarge8 vCPU · 32 GiB
m8gn.4xlarge16 vCPU · 64 GiB
m8gn.8xlarge32 vCPU · 128 GiB
m8gn.12xlarge48 vCPU · 192 GiB
m8gn.16xlarge64 vCPU · 256 GiB
m8gn.24xlarge96 vCPU · 384 GiB
m8gn.metal-24xl96 vCPU · 384 GiB
m8gn.48xlarge192 vCPU · 768 GiB
m8gn.metal-48xl192 vCPU · 768 GiB
m8gn.xlarge

The m8gn.xlarge pairs 4 vCPU with 16 GiB of RAM, the 4.00 GiB-per-vCPU ratio that marks a general-purpose instance. In the name, "m" is the general-purpose line, "8" is the generation, "gn" marks AWS Graviton (ARM) processors and enhanced networking and "xlarge" is the size within the m8gn family. It runs on AWS Graviton4 Processor at 2.8 GHz, and AWS introduced it in December 2025. AWS has since shipped m9g; m9g.xlarge is the direct replacement at this size, scoring 145,914 CoreMark/s against this instance's 125,658 — roughly 16% more throughput for the same vCPU count. gp.vs2.large on Rackspace Spot lines up one-for-one: 4 vCPU and 16 GiB, $0.291/hr on AWS in US East (N. Virginia), from $0.011/hr on Rackspace Spot.

Match qualityx86 substitution

m8gn.xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.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$0.291$0.108$0.011
$0.280 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.011
London, UK$0.026
US West, San Jose$0.041
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.291$0.108$0.041
$0.250 savings
When to use it
Good for
  • ●Web and application servers with mixed CPU and memory demand
  • ●Microservices and container fleets
  • ●Development, staging and CI environments
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Small, steady services that do not need more than 4 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 40 Gigabit
Avoid if
  • ●The working set needs more than 16 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
  • ●More than 4.00 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
$212/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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