Instances›AWS EC2›r8gb›r8gb.4xlarge
Compute
vCPUs16
Memory128 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton4 Processor
Clock speed2.8 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth25,000 Mbps
Throughput3125 MB/s
IOPS120,000
Networking
Performance33.33 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
r8gb.medium1 vCPU · 8 GiB
r8gb.large2 vCPU · 16 GiB
r8gb.xlarge4 vCPU · 32 GiB
r8gb.2xlarge8 vCPU · 64 GiB
r8gb.4xlarge16 vCPU · 128 GiB
r8gb.8xlarge32 vCPU · 256 GiB
r8gb.12xlarge48 vCPU · 384 GiB
r8gb.16xlarge64 vCPU · 512 GiB
r8gb.24xlarge96 vCPU · 768 GiB
r8gb.metal-24xl96 vCPU · 768 GiB
r8gb.48xlarge192 vCPU · 1536 GiB
r8gb.metal-48xl192 vCPU · 1536 GiB
r8gb.4xlarge

The r8gb.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, "8" is the generation, "gb" marks AWS Graviton (ARM) processors and block-storage optimisation and "4xlarge" is the size within the r8gb family. It runs on AWS Graviton4 Processor at 2.8 GHz, and AWS introduced it in September 2025. AWS has since shipped r9g; r9g.4xlarge is the direct replacement at this size. Rackspace Spot's mh.vs1.2xlarge is a like-for-like substitute at 16 vCPU and 128 GiB, $1.46/hr on AWS in US East (N. Virginia), from $0.021/hr on Rackspace Spot.

Match qualityx86 substitution

r8gb.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$1.457$0.448$0.021
$1.436 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.131
Hong Kong$0.021
Sydney, Australia$0.021
London, UK$0.131
US West, San Jose$0.002
US Central, Dallas 2no AWS region$0.242
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 128 GiB of RAM
  • ●Parallel work that can occupy 16 vCPU
  • ●Network-heavy services — AWS rates this size at 33.33 Gigabit
Avoid if
  • ●The working set needs more than 128 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●The work is single-threaded. Most of these 16 vCPU would sit idle.
  • ●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.
Stop overpaying AWS. This compute costs $1,064/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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