Instances›AWS EC2›r8in›r8in.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 30 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
r8in.large2 vCPU · 16 GiB
r8in.xlarge4 vCPU · 32 GiB
r8in.2xlarge8 vCPU · 64 GiB
r8in.4xlarge16 vCPU · 128 GiB
r8in.8xlarge32 vCPU · 256 GiB
r8in.12xlarge48 vCPU · 384 GiB
r8in.16xlarge64 vCPU · 512 GiB
r8in.24xlarge96 vCPU · 768 GiB
r8in.32xlarge128 vCPU · 1024 GiB
r8in.48xlarge192 vCPU · 1536 GiB
r8in.metal-48xl192 vCPU · 1536 GiB
r8in.96xlarge384 vCPU · 3072 GiB
r8in.metal-96xl384 vCPU · 3072 GiB
r8in.xlarge

The r8in.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, "8" is the generation, "in" marks Intel processors and enhanced networking and "xlarge" is the size within the r8in family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in April 2026. AWS has since shipped r9g; r9g.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 95% 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$0.418$0.131$0.021
$0.397 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.021
Hong Kong$0.006
Sydney, Australia$0.006
London, UK$0.006
US West, San Jose$0.502$0.148$0.061
$0.441 savings
US Central, Dallas 2no AWS region$0.061
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 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
  • ●The working set needs more than 32 GiB of RAM
  • ●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
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
$305/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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Frequently asked questions