Instances›AWS EC2›r5ad›r5ad.2xlarge
Compute
vCPUs8
Memory64 GiB
Mem / vCPU8.00 GiB
ProcessorEPYC 7571
Clock speed2.5 GHz
Architecturex86_64
Storage
Type1 × 300 GB NVMe SSD
Bandwidth2,880 Mbps
Throughput360 MB/s
IOPS16,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
r5ad.large2 vCPU · 16 GiB
r5ad.xlarge4 vCPU · 32 GiB
r5ad.2xlarge8 vCPU · 64 GiB
r5ad.4xlarge16 vCPU · 128 GiB
r5ad.8xlarge32 vCPU · 256 GiB
r5ad.12xlarge48 vCPU · 384 GiB
r5ad.16xlarge64 vCPU · 512 GiB
r5ad.24xlarge96 vCPU · 768 GiB
r5ad.2xlarge

The r5ad.2xlarge is a memory-optimized AWS EC2 instance: 8 vCPU and 64 GiB of memory, 8.00 GiB per vCPU. In the name, "r" stands for RAM, "5" is the generation, "ad" marks AMD processors and local NVMe storage and "2xlarge" is the size within the r5ad family. It runs on AMD EPYC 7571 at 2.5 GHz, and AWS introduced it in March 2019. AWS has since shipped r6i, r7i, r8i and r9g; r6i.2xlarge is the direct replacement at this size, scoring 136,694 CoreMark/s against this instance's 102,363 — roughly 34% more throughput for the same vCPU count. Rackspace Spot's mh.vs1.xlarge is a like-for-like substitute at 8 vCPU and 64 GiB, about 94% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

r5ad.2xlarge comes with 1 × 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$0.524$0.179$0.330$0.226$0.031
$0.493 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.081
Hong Kong$0.011
Sydney, Australia$0.636$0.266$0.401$0.275$0.131
$0.505 savings
London, UK$0.616$0.217$0.388$0.266$0.041
$0.575 savings
US West, San Jose$0.592$0.183$0.373$0.256$0.001
$0.591 savings
US Central, Dallas 2no AWS region$0.121
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 64 GiB of RAM
  • ●Jobs that want 1 × 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.2xlarge is the newer generation at this size.
  • ●The working set needs more than 64 GiB of RAM
  • ●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 $383/mo on AWS vs $23/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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