Instances›AWS EC2›m8gb›m8gb.4xlarge
Compute
vCPUs16
Memory64 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton4 Processor
Clock speed2.8 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth25,000 Mbps
Throughput3125 MB/s
IOPS120,000
Networking
Performance33.33 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
m8gb.medium1 vCPU · 4 GiB
m8gb.large2 vCPU · 8 GiB
m8gb.xlarge4 vCPU · 16 GiB
m8gb.2xlarge8 vCPU · 32 GiB
m8gb.4xlarge16 vCPU · 64 GiB
m8gb.8xlarge32 vCPU · 128 GiB
m8gb.12xlarge48 vCPU · 192 GiB
m8gb.16xlarge64 vCPU · 256 GiB
m8gb.24xlarge96 vCPU · 384 GiB
m8gb.metal-24xl96 vCPU · 384 GiB
m8gb.48xlarge192 vCPU · 768 GiB
m8gb.metal-48xl192 vCPU · 768 GiB
m8gb.4xlarge

m8gb.4xlarge is AWS's general-purpose EC2 size at 16 vCPU and 64 GiB. In the name, "m" is the general-purpose line, "8" is the generation, "gb" marks AWS Graviton (ARM) processors and block-storage optimisation and "4xlarge" is the size within the m8gb family. It runs on AWS Graviton4 Processor at 2.8 GHz, and AWS introduced it in December 2025. AWS has since shipped m9g; m9g.4xlarge is the direct replacement at this size, scoring 575,195 CoreMark/s against this instance's 486,285 — roughly 18% more throughput for the same vCPU count. On Rackspace Spot the same shape is gp.vs2.2xlarge — 16 vCPU, 64 GiB, matched on both dimensions, $1.16/hr on AWS in US East (N. Virginia), from $0.041/hr on Rackspace Spot.

Match qualityx86 substitution

m8gb.4xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so gp.vs2.2xlarge 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$1.164$0.409$0.041
$1.123 savings
US Central, Chicagono AWS region$0.041
US Central, Dallasno AWS region$0.051
Hong Kong$0.011
Sydney, Australia$0.161
London, UK$0.221
US West, San Jose$0.151
US Central, Dallas 2no AWS region$0.001
US East, N. Virginia 2$1.164$0.409$0.151
$1.013 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 64 GiB of RAM
  • ●Parallel work that can occupy 16 vCPU
  • ●Network-heavy services — AWS rates this size at 33.33 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
  • ●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
  • ●The work is single-threaded. Most of these 16 vCPU would sit idle.
Stop overpaying AWS. This compute costs $850/mo on AWS vs $30/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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