Instances›AWS EC2›m8g›m8g.2xlarge
Compute
vCPUs8
Memory32 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
m8g.medium1 vCPU · 4 GiB
m8g.large2 vCPU · 8 GiB
m8g.xlarge4 vCPU · 16 GiB
m8g.2xlarge8 vCPU · 32 GiB
m8g.4xlarge16 vCPU · 64 GiB
m8g.8xlarge32 vCPU · 128 GiB
m8g.12xlarge48 vCPU · 192 GiB
m8g.16xlarge64 vCPU · 256 GiB
m8g.24xlarge96 vCPU · 384 GiB
m8g.metal-24xl96 vCPU · 384 GiB
m8g.48xlarge192 vCPU · 768 GiB
m8g.metal-48xl192 vCPU · 768 GiB
m8g.2xlarge

The m8g.2xlarge pairs 8 vCPU with 32 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, "g" marks AWS Graviton (ARM) processors and "2xlarge" is the size within the m8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in September 2024. AWS has since shipped m9g; m9g.2xlarge is the direct replacement at this size, scoring 290,293 CoreMark/s against this instance's 240,493 — roughly 21% more throughput for the same vCPU count. gp.vs2.xlarge on Rackspace Spot lines up one-for-one: 8 vCPU and 32 GiB, about 91% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m8g.2xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.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$0.359$0.093$0.237$0.163$0.031
$0.328 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.081
Hong Kong$0.494$0.327$0.224$0.006
$0.488 savings
Sydney, Australia$0.449$0.148$0.297$0.203$0.006
$0.443 savings
London, UK$0.415$0.100$0.274$0.189$0.031
$0.384 savings
US West, San Jose$0.419$0.147$0.276$0.191$0.081
$0.338 savings
US Central, Dallas 2no AWS region$0.081
US East, N. Virginia 2$0.359$0.093$0.237$0.163$0.081
$0.278 savings
When to use it
Good for
  • ●Microservices and container fleets
  • ●Development, staging and CI environments
  • ●Small to mid-size relational databases
  • ●Workloads that fit inside 32 GiB of RAM
  • ●Parallel work that can occupy 8 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●The working set needs more than 32 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●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
Stop overpaying AWS. This compute costs $262/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