Instances›AWS EC2›r7g›r7g.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
r7g.medium1 vCPU · 8 GiB
r7g.large2 vCPU · 16 GiB
r7g.xlarge4 vCPU · 32 GiB
r7g.2xlarge8 vCPU · 64 GiB
r7g.4xlarge16 vCPU · 128 GiB
r7g.8xlarge32 vCPU · 256 GiB
r7g.12xlarge48 vCPU · 384 GiB
r7g.16xlarge64 vCPU · 512 GiB
r7g.metal64 vCPU · 512 GiB
r7g.xlarge

The r7g.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, "7" is the generation, "g" marks AWS Graviton (ARM) processors and "xlarge" is the size within the r7g family. It runs on AWS Graviton3 Processor at 2.5 GHz, and AWS introduced it in February 2023. AWS has since shipped r8g and r9g; r8g.xlarge is the direct replacement at this size, scoring 122,100 CoreMark/s against this instance's 102,571 — roughly 19% more throughput for the same vCPU count. mh.vs2.large on Rackspace Spot lines up one-for-one: 4 vCPU and 32 GiB, about 90% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

r7g.xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.vs2.large is an x86_64 substitute with similar specs.

You will need x86 builds of your container images. Most software rebuilds without changes, but anything with compiled native code needs a real rebuild rather than a retag. Speed per core also differs between the two chips, so it is worth testing before deciding how many nodes to run.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.214$0.068$0.142$0.097$0.021
$0.193 savings
US Central, Chicagono AWS region$0.061
US Central, Dallasno AWS region$0.021
Hong Kong$0.284$0.187$0.128$0.006
$0.278 savings
Sydney, Australia$0.257$0.103$0.170$0.117$0.006
$0.251 savings
London, UK$0.252$0.067$0.167$0.114$0.006
$0.246 savings
US West, San Jose$0.238$0.069$0.157$0.108$0.061
$0.177 savings
US Central, Dallas 2no AWS region$0.061
When to use it
Good for
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●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 12.5 Gigabit
Avoid if
  • ●Starting a new deployment. r8g.xlarge is the newer generation at this size.
  • ●The working set needs more than 32 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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
Stop overpaying AWS. This compute costs $156/mo on AWS vs $15/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