Instances›AWS EC2›r6g›r6g.4xlarge
Compute
vCPUs16
Memory128 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 ENIs8
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.4xlarge

The r6g.4xlarge is a memory-optimized AWS EC2 instance: 16 vCPU and 128 GiB of memory, 8.00 GiB per vCPU. In the name, "r" stands for RAM, "6" is the generation, "g" marks AWS Graviton (ARM) processors and "4xlarge" 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.4xlarge is the direct replacement at this size, scoring 411,073 CoreMark/s against this instance's 312,134 — roughly 32% more throughput for the same vCPU count. Rackspace Spot's mh.vs1.2xlarge is a like-for-like substitute at 16 vCPU and 128 GiB, $0.806/hr on AWS in US East (N. Virginia), from $0.021/hr on Rackspace Spot.

Match qualityx86 substitution

r6g.4xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.vs1.2xlarge 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$0.806$0.218$0.508$0.348$0.021
$0.785 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.131
Hong Kong$1.072$0.672$0.458$0.021
$1.051 savings
Sydney, Australia$0.966$0.319$0.609$0.417$0.021
$0.945 savings
London, UK$0.947$0.155$0.597$0.409$0.131
$0.816 savings
US West, San Jose$0.896$0.178$0.565$0.387$0.002
$0.894 savings
US Central, Dallas 2no AWS region$0.242
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 128 GiB of RAM
  • ●Parallel work that can occupy 16 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. r7g.4xlarge is the newer generation at this size.
  • ●The working set needs more than 128 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●More than 8.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 16 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
$589/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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