Instances›AWS EC2›r5d›r5d.4xlarge
Compute
vCPUs16
Memory128 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Platinum 8175
Clock speed3.1 GHz
Architecturex86_64
Storage
Type2 × 300 GB NVMe SSD
Bandwidth4,750 Mbps
Throughput593.75 MB/s
IOPS18,750
Networking
PerformanceUp to 10 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
r5d.large2 vCPU · 16 GiB
r5d.xlarge4 vCPU · 32 GiB
r5d.2xlarge8 vCPU · 64 GiB
r5d.4xlarge16 vCPU · 128 GiB
r5d.8xlarge32 vCPU · 256 GiB
r5d.12xlarge48 vCPU · 384 GiB
r5d.16xlarge64 vCPU · 512 GiB
r5d.24xlarge96 vCPU · 768 GiB
r5d.metal96 vCPU · 768 GiB
r5d.4xlarge

r5d.4xlarge is AWS's memory-optimized EC2 size at 16 vCPU and 128 GiB. In the name, "r" stands for RAM, "5" is the generation, "d" marks local NVMe storage and "4xlarge" is the size within the r5d family. It runs on Intel Xeon Platinum 8175 at 3.1 GHz, and AWS introduced it in July 2018. AWS has since shipped r6i, r7i, r8i and r9g; r6i.4xlarge is the direct replacement at this size, scoring 267,525 CoreMark/s against this instance's 232,863 — roughly 15% more throughput for the same vCPU count. On Rackspace Spot the same shape is mh.vs1.2xlarge — 16 vCPU, 128 GiB, matched on both dimensions, $1.15/hr on AWS in US East (N. Virginia), from $0.021/hr on Rackspace Spot.

Match qualityNo local disk

r5d.4xlarge comes with 2 × 300 GB NVMe SSD attached to the machine. Rackspace Spot nodes use network storage only, so that disk does not come with it.

If you were using the local disk as fast scratch space — temporary files, a local cache, an index — you will need a persistent volume or object storage instead, and both are slower to read. If it was just extra space you never depended on, nothing changes.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$1.152$0.596$0.726$0.498$0.021
$1.131 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.131
Hong Kong$1.400$0.882$0.605$0.021
$1.379 savings
Sydney, Australia$1.392$0.518$0.877$0.601$0.021
$1.371 savings
London, UK$1.352$0.358$0.852$0.584$0.131
$1.221 savings
US West, San Jose$1.296$0.465$0.816$0.560$0.002
$1.294 savings
US Central, Dallas 2no AWS region$0.242
When to use it
Good for
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●Workloads that fit inside 128 GiB of RAM
  • ●Jobs that want 2 × 300 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. r6i.4xlarge is the newer generation at this size.
  • ●The working set needs more than 128 GiB of RAM
  • ●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.
  • ●GPU or FPGA acceleration is needed
$841/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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