Instances›AWS EC2›r7gd›r7gd.4xlarge
Compute
vCPUs16
Memory128 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 950 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
r7gd.medium1 vCPU · 8 GiB
r7gd.large2 vCPU · 16 GiB
r7gd.xlarge4 vCPU · 32 GiB
r7gd.2xlarge8 vCPU · 64 GiB
r7gd.4xlarge16 vCPU · 128 GiB
r7gd.8xlarge32 vCPU · 256 GiB
r7gd.12xlarge48 vCPU · 384 GiB
r7gd.16xlarge64 vCPU · 512 GiB
r7gd.metal64 vCPU · 512 GiB
r7gd.4xlarge

The r7gd.4xlarge pairs 16 vCPU with 128 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, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "4xlarge" is the size within the r7gd family. It runs on AWS Graviton3 Processor at 2.5 GHz, and AWS introduced it in July 2023. AWS has since shipped r8gd and r9gd; r8gd.4xlarge is the direct replacement at this size. mh.vs1.2xlarge on Rackspace Spot lines up one-for-one: 16 vCPU and 128 GiB, $1.09/hr on AWS in US East (N. Virginia), from $0.021/hr on Rackspace Spot.

Match qualityx86 substitution

r7gd.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.

No local diskr7gd.4xlarge comes with 1 × 950 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$1.089$0.470$0.684$0.470$0.021
$1.068 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.131
Hong Kong$1.323$0.834$0.572$0.021
$1.302 savings
Sydney, Australia$1.253$0.397$0.789$0.541$0.021
$1.232 savings
London, UK$1.278$0.139$0.805$0.552$0.131
$1.147 savings
US West, San Jose$1.225$0.507$0.772$0.529$0.002
$1.223 savings
US Central, Dallas 2no AWS region$0.242
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 128 GiB of RAM
  • ●Jobs that want 1 × 950 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●Starting a new deployment. r8gd.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
  • ●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
  • ●The work is single-threaded. Most of these 16 vCPU would sit idle.
r7gd.4xlarge runs $795/mo on AWS on-demand. The equivalent on Rackspace Spot: $15/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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