Instances›AWS EC2›r6g›r6g.large
Compute
vCPUs2
Memory16 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth4,750 Mbps
Throughput593.75 MB/s
IOPS20,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
r6g.medium1 vCPU · 8 GiB
r6g.large2 vCPU · 16 GiB
r6g.xlarge4 vCPU · 32 GiB
r6g.2xlarge8 vCPU · 64 GiB
r6g.4xlarge16 vCPU · 128 GiB
r6g.8xlarge32 vCPU · 256 GiB
r6g.12xlarge48 vCPU · 384 GiB
r6g.16xlarge64 vCPU · 512 GiB
r6g.metal64 vCPU · 512 GiB
r6g.large

The r6g.large pairs 2 vCPU with 16 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, "g" marks AWS Graviton (ARM) processors and "large" is the size within the r6g family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in June 2020. AWS has since shipped r7g, r8g and r9g; r7g.large is the direct replacement at this size, scoring 49,240 CoreMark/s against this instance's 39,267 — roughly 25% more throughput for the same vCPU count. mh.vs2.medium on Rackspace Spot lines up one-for-one: 2 vCPU and 16 GiB, about 89% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

r6g.large is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.vs2.medium 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$0.101$0.031$0.064$0.043$0.011
$0.090 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.041
Hong Kong$0.134$0.084$0.057$0.002
$0.132 savings
Sydney, Australia$0.121$0.053$0.076$0.052$0.011
$0.110 savings
London, UK$0.118$0.048$0.075$0.051$0.011
$0.107 savings
US West, San Jose$0.112$0.040$0.071$0.048$0.031
$0.081 savings
US Central, Dallas 2no AWS region$0.031
When to use it
Good for
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●OLAP and business intelligence query engines
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Small, steady services that do not need more than 2 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. r7g.large is the newer generation at this size.
  • ●The working set needs more than 16 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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.
r6g.large runs $74/mo on AWS on-demand. The equivalent on Rackspace Spot: $8/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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