Instances›AWS EC2›r9gd›r9gd.xlarge
Compute
vCPUs4
Memory32 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton5 Processor
Clock speed3.3 GHz
Architecturearm64
Storage
Type1 × 237 GB NVMe SSD
Bandwidth12,000 Mbps
Throughput1500 MB/s
IOPS48,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
r9gd.medium1 vCPU · 8 GiB
r9gd.large2 vCPU · 16 GiB
r9gd.xlarge4 vCPU · 32 GiB
r9gd.2xlarge8 vCPU · 64 GiB
r9gd.4xlarge16 vCPU · 128 GiB
r9gd.8xlarge32 vCPU · 256 GiB
r9gd.12xlarge48 vCPU · 384 GiB
r9gd.16xlarge64 vCPU · 512 GiB
r9gd.24xlarge96 vCPU · 768 GiB
r9gd.48xlarge192 vCPU · 1536 GiB
r9gd.metal-48xl192 vCPU · 1536 GiB
r9gd.xlarge

The r9gd.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, "9" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "xlarge" is the size within the r9gd family. It runs on AWS Graviton5 Processor at 3.3 GHz, and AWS introduced it in August 2026. r9gd is the current generation of the r family, so there is no newer AWS size to migrate to. mh.vs2.large on Rackspace Spot lines up one-for-one: 4 vCPU and 32 GiB, about 93% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

r9gd.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.

No local diskr9gd.xlarge comes with 1 × 237 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$0.320$0.122$0.021
$0.299 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$0.061
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
  • ●Jobs that want 1 × 237 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●The working set needs more than 32 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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
  • ●GPU or FPGA acceleration is needed
Stop overpaying AWS. This compute costs $234/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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