Instances›AWS EC2›r3›r3.2xlarge
Compute
vCPUs8
Memory61 GiB
Mem / vCPU7.63 GiB
ProcessorXeon E5-2670 v2
Clock speed2.5 GHz
Architecturex86_64
Storage
Type1 × 160 GB SSD
Bandwidth1,000 Mbps
Throughput125 MB/s
IOPS8,000
Networking
PerformanceHigh
Max ENIs4
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
r3.2xlarge

r3.2xlarge is AWS's memory-optimized EC2 size at 8 vCPU and 61 GiB. In the name, "r" stands for RAM, "3" is the generation and "2xlarge" 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; r4.2xlarge is the direct replacement at this size. On Rackspace Spot the same shape is mh.vs1.xlarge — 8 vCPU, 64 GiB, matched on both dimensions, about 95% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

r3.2xlarge comes with 1 × 160 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$0.665$0.155$0.418$0.031
$0.634 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.081
Hong Kong$0.011
Sydney, Australia$0.798$0.269$0.597$0.131
$0.667 savings
London, UK$0.041
US West, San Jose$0.741$0.178$0.543$0.001
$0.740 savings
US Central, Dallas 2no AWS region$0.121
When to use it
Good for
  • ●Large JVM heaps and application servers that hold state
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Workloads that fit inside 61 GiB of RAM
  • ●Jobs that want 1 × 160 GB of local SSD scratch space
Avoid if
  • ●Starting a new deployment. r4.2xlarge is the newer generation at this size.
  • ●The working set needs more than 61 GiB of RAM
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●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
r3.2xlarge runs $485/mo on AWS on-demand. The equivalent on Rackspace Spot: $23/mo.
  • 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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