Instances›AWS EC2›r6in›r6in.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth25,000 Mbps
Throughput3125 MB/s
IOPS100,000
Networking
PerformanceUp to 30 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
r6in.large2 vCPU · 16 GiB
r6in.xlarge4 vCPU · 32 GiB
r6in.2xlarge8 vCPU · 64 GiB
r6in.4xlarge16 vCPU · 128 GiB
r6in.8xlarge32 vCPU · 256 GiB
r6in.12xlarge48 vCPU · 384 GiB
r6in.16xlarge64 vCPU · 512 GiB
r6in.24xlarge96 vCPU · 768 GiB
r6in.32xlarge128 vCPU · 1024 GiB
r6in.metal128 vCPU · 1024 GiB
r6in.xlarge

The r6in.xlarge pairs 4 vCPU with 32 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "r" stands for RAM, "6" is the generation, "in" marks Intel processors and enhanced networking and "xlarge" is the size within the r6in family. It runs on Intel Xeon 8375C (Ice Lake) at 3.5 GHz, and AWS introduced it in November 2022. AWS has since shipped r7i, r8in and r9g; r7i.xlarge is the direct replacement at this size. mh.vs2.large on Rackspace Spot lines up one-for-one: 4 vCPU and 32 GiB, about 94% 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$0.349$0.130$0.220$0.141$0.021
$0.328 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.021
Hong Kong$0.006
Sydney, Australia$0.423$0.130$0.267$0.172$0.006
$0.417 savings
London, UK$0.006
US West, San Jose$0.061
US Central, Dallas 2no AWS region$0.061
When to use it
Good for
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●Workloads that fit inside 32 GiB of RAM
  • ●Small, steady services that do not need more than 4 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 30 Gigabit
Avoid if
  • ●Starting a new deployment. r7i.xlarge is the newer generation at this size.
  • ●The working set needs more than 32 GiB of RAM
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 8.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
$255/mo on AWS on-demand against $15/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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