Instances›AWS EC2›r3›r3.large
Compute
vCPUs2
Memory15.25 GiB
Mem / vCPU7.63 GiB
ProcessorXeon E5-2670 v2
Clock speed2.5 GHz
Architecturex86_64
Storage
Type1 × 32 GB SSD
BandwidthN/A
ThroughputN/A
IOPS0
Networking
PerformanceModerate
Max ENIs3
IPv6Yes
GPUNone
Family sizes
r3.large2 vCPU · 15.25 GiB
r3.xlarge4 vCPU · 30.5 GiB
r3.2xlarge8 vCPU · 61 GiB
r3.4xlarge16 vCPU · 122 GiB
r3.8xlarge32 vCPU · 244 GiB
r3.large

The r3.large is a memory-optimized AWS EC2 instance: 2 vCPU and 15.25 GiB of memory, 7.63 GiB per vCPU. In the name, "r" stands for RAM, "3" is the generation and "large" is the size within the r3 family. It runs on Intel Xeon E5-2670 v2 (Ivy Bridge) at 2.5 GHz, and AWS introduced it in April 2014. AWS has since shipped r4, r5, r6i and r7i; r4.large is the direct replacement at this size. Rackspace Spot's mh.vs1.medium is a like-for-like substitute at 2 vCPU and 16 GiB, about 93% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

r3.large comes with 1 × 32 GB SSD attached to the machine. Rackspace Spot nodes use network storage only, so that disk does not come with it.

If you were using the local disk as fast scratch space — temporary files, a local cache, an index — you will need a persistent volume or object storage instead, and both are slower to read. If it was just extra space you never depended on, nothing changes.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.166$0.046$0.105$0.011
$0.155 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.041
Hong Kong$0.002
Sydney, Australia$0.200$0.045$0.149$0.011
$0.189 savings
London, UK$0.011
US West, San Jose$0.185$0.034$0.136$0.031
$0.154 savings
US Central, Dallas 2no AWS region$0.031
When to use it
Good for
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Workloads that fit inside 15.25 GiB of RAM
  • ●Jobs that want 1 × 32 GB of local SSD scratch space
Avoid if
  • ●Starting a new deployment. r4.large is the newer generation at this size.
  • ●The working set needs more than 15.25 GiB of RAM
  • ●More than 7.63 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
Stop overpaying AWS. This compute costs $121/mo on AWS vs $8/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