Instances›AWS EC2›m5ad›m5ad.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 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
m5ad.large2 vCPU · 8 GiB
m5ad.xlarge4 vCPU · 16 GiB
m5ad.2xlarge8 vCPU · 32 GiB
m5ad.4xlarge16 vCPU · 64 GiB
m5ad.8xlarge32 vCPU · 128 GiB
m5ad.12xlarge48 vCPU · 192 GiB
m5ad.16xlarge64 vCPU · 256 GiB
m5ad.24xlarge96 vCPU · 384 GiB
m5ad.large

The m5ad.large is a general-purpose AWS EC2 instance: 2 vCPU and 8 GiB of memory, 4.00 GiB per vCPU. In the name, "m" is the general-purpose line, "5" is the generation, "ad" marks AMD processors and local NVMe storage and "large" is the size within the m5ad family. It runs on AMD EPYC 7571 at 2.5 GHz, and AWS introduced it in March 2019. AWS has since shipped m6i, m7i, m8i and m9g; m6i.large is the direct replacement at this size, scoring 35,055 CoreMark/s against this instance's 25,994 — roughly 35% more throughput for the same vCPU count. The nearest Spot node is gp.vs1.large at 4 vCPU and 16 GiB — 2 more vCPU and 8 GiB more memory, about 89% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

m5ad.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$0.103$0.041$0.065$0.044$0.011
$0.092 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.130$0.042$0.082$0.056$0.011
$0.119 savings
London, UK$0.120$0.041$0.076$0.052$0.026
$0.094 savings
US West, San Jose$0.122$0.039$0.077$0.053$0.041
$0.081 savings
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.103$0.041$0.065$0.044$0.041
$0.062 savings
When to use it
Good for
  • ●Small to mid-size relational databases
  • ●Backend services with no single dominant resource
  • ●Queue workers and scheduled jobs
  • ●Workloads that fit inside 8 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. m6i.large is the newer generation at this size.
  • ●The working set needs more than 8 GiB of RAM
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●GPU or FPGA acceleration is needed
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
Stop overpaying AWS. This compute costs $75/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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