Instances›AWS EC2›m4›m4.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorXeon E5-2676 v3
Clock speed2.4 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth450 Mbps
Throughput56.25 MB/s
IOPS3,600
Networking
PerformanceModerate
Max ENIs2
IPv6Yes
GPUNone
Family sizes
m4.large2 vCPU · 8 GiB
m4.xlarge4 vCPU · 16 GiB
m4.2xlarge8 vCPU · 32 GiB
m4.4xlarge16 vCPU · 64 GiB
m4.10xlarge40 vCPU · 160 GiB
m4.16xlarge64 vCPU · 256 GiB
m4.large

The m4.large is a general-purpose AWS EC2 instance: 2 vCPU and 8 GiB of memory, 4.00 GiB per vCPU. In the name, "m" is the general-purpose line, "4" is the generation and "large" is the size within the m4 family. It runs on Intel Xeon E5-2676 v3 (Haswell) at 2.4 GHz, and AWS introduced it in June 2015. AWS has since shipped m5, m6i, m7i and m8i; m5.large is the direct replacement at this size, scoring 28,470 CoreMark/s against this instance's 26,848 — roughly 6% more throughput for the same vCPU count. The nearest Spot node is gp.vs1.large at 4 vCPU and 16 GiB — 2 more vCPU and 8 GiB more memory, about 89% below the US East (N. Virginia) on-demand rate.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.100$0.038$0.062$0.043$0.011
$0.089 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.125$0.046$0.084$0.060$0.011
$0.114 savings
London, UK$0.116$0.040$0.079$0.057$0.026
$0.090 savings
US West, San Jose$0.117$0.041$0.085$0.058$0.041
$0.076 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.100$0.038$0.062$0.043$0.041
$0.059 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 8 GiB of RAM
  • ●Small, steady services that do not need more than 2 vCPU
Avoid if
  • ●Starting a new deployment. m5.large is the newer generation at this size.
  • ●The working set needs more than 8 GiB of RAM
  • ●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
  • ●Local NVMe or instance-store disk is a hard requirement
$73/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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Frequently asked questions