Instances›AWS EC2›r6gd›r6gd.medium
Compute
vCPUs1
Memory8 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 59 GB NVMe SSD
Bandwidth4,750 Mbps
Throughput593.75 MB/s
IOPS20,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs2
IPv6Yes
GPUNone
Family sizes
r6gd.medium1 vCPU · 8 GiB
r6gd.large2 vCPU · 16 GiB
r6gd.xlarge4 vCPU · 32 GiB
r6gd.2xlarge8 vCPU · 64 GiB
r6gd.4xlarge16 vCPU · 128 GiB
r6gd.8xlarge32 vCPU · 256 GiB
r6gd.12xlarge48 vCPU · 384 GiB
r6gd.16xlarge64 vCPU · 512 GiB
r6gd.metal64 vCPU · 512 GiB
r6gd.medium

The r6gd.medium pairs 1 vCPU with 8 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, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "medium" is the size within the r6gd family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in July 2020. AWS has since shipped r7gd, r8gd and r9gd; r7gd.medium is the direct replacement at this size, scoring 25,954 CoreMark/s against this instance's 19,802 — roughly 31% more throughput for the same vCPU count. mh.vs2.medium is the closest Spot shape: 2 vCPU and 16 GiB, so 1 more vCPU and 8 GiB more memory, about 81% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

r6gd.medium 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.

No local diskr6gd.medium comes with 1 × 59 GB NVMe SSD attached to the machine. Spot nodes use network storage only, so that disk doesn't come with it. If you were using it as fast scratch space, you'd move to a persistent volume or object storage, which are slower to read.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.058$0.017$0.036$0.025$0.011
$0.047 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.041
Hong Kong$0.002
Sydney, Australia$0.070$0.019$0.044$0.030$0.011
$0.059 savings
London, UK$0.068$0.015$0.043$0.029$0.011
$0.057 savings
US West, San Jose$0.065$0.010$0.041$0.028$0.031
$0.034 savings
US Central, Dallas 2no AWS region$0.031
When to use it
Good for
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Workloads that fit inside 8 GiB of RAM
  • ●Jobs that want 1 × 59 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. r7gd.medium is the newer generation at this size.
  • ●The working set needs more than 8 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 $42/mo on AWS vs $8/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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