Instances›AWS EC2›m6g›m6g.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth4,750 Mbps
Throughput593.75 MB/s
IOPS20,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
m6g.medium1 vCPU · 4 GiB
m6g.large2 vCPU · 8 GiB
m6g.xlarge4 vCPU · 16 GiB
m6g.2xlarge8 vCPU · 32 GiB
m6g.4xlarge16 vCPU · 64 GiB
m6g.8xlarge32 vCPU · 128 GiB
m6g.12xlarge48 vCPU · 192 GiB
m6g.16xlarge64 vCPU · 256 GiB
m6g.metal64 vCPU · 256 GiB
m6g.large

The m6g.large pairs 2 vCPU with 8 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, "6" is the generation, "g" marks AWS Graviton (ARM) processors and "large" is the size within the m6g family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in May 2020. AWS has since shipped m7g, m8g and m9g; m7g.large is the direct replacement at this size, scoring 51,660 CoreMark/s against this instance's 37,344 — roughly 38% more throughput for the same vCPU count. gp.vs2.large is the closest Spot shape: 4 vCPU and 16 GiB, so 2 more vCPU and 8 GiB more memory, about 86% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

m6g.large 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$0.077$0.030$0.048$0.034$0.011
$0.066 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.106$0.066$0.045$0.011
$0.095 savings
Sydney, Australia$0.096$0.048$0.060$0.042$0.011
$0.085 savings
London, UK$0.089$0.043$0.056$0.038$0.026
$0.063 savings
US West, San Jose$0.090$0.044$0.056$0.039$0.041
$0.049 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.077$0.030$0.048$0.034$0.041
$0.036 savings
When to use it
Good for
  • ●Small to mid-size relational databases
  • ●Backend services with no single dominant resource
  • ●Queue workers and scheduled jobs
  • ●Workloads that fit inside 8 GiB of RAM
  • ●Small, steady services that do not need more than 2 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. m7g.large is the newer generation at this size.
  • ●The working set needs more than 8 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.
$56/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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