Instances›AWS EC2›r5ad›r5ad.large
Compute
vCPUs2
Memory16 GiB
Mem / vCPU8.00 GiB
ProcessorEPYC 7571
Clock speed2.5 GHz
Architecturex86_64
Storage
Type1 × 75 GB NVMe SSD
Bandwidth2,880 Mbps
Throughput360 MB/s
IOPS16,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs3
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.large

r5ad.large is AWS's memory-optimized EC2 size at 2 vCPU and 16 GiB. In the name, "r" stands for RAM, "5" is the generation, "ad" marks AMD processors and local NVMe storage and "large" 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.large is the direct replacement at this size, scoring 36,254 CoreMark/s against this instance's 26,638 — roughly 36% more throughput for the same vCPU count. On Rackspace Spot the same shape is mh.vs1.medium — 2 vCPU, 16 GiB, matched on both dimensions, about 92% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

r5ad.large comes with 1 × 75 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$0.131$0.041$0.083$0.057$0.011
$0.120 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.041
Hong Kong$0.002
Sydney, Australia$0.159$0.053$0.100$0.069$0.011
$0.148 savings
London, UK$0.154$0.047$0.097$0.067$0.011
$0.143 savings
US West, San Jose$0.148$0.042$0.093$0.064$0.031
$0.117 savings
US Central, Dallas 2no AWS region$0.031
When to use it
Good for
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●OLAP and business intelligence query engines
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Jobs that want 1 × 75 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.large is the newer generation at this size.
  • ●The working set needs more than 16 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
  • ●GPU or FPGA acceleration is needed
Stop overpaying AWS. This compute costs $96/mo on AWS vs $8/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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Frequently asked questions