Instances›AWS EC2›c5ad›c5ad.4xlarge
Compute
vCPUs16
Memory32 GiB
Mem / vCPU2.00 GiB
ProcessorEPYC 7R32
Clock speed3.3 GHz
Architecturex86_64
Storage
Type2 × 300 GB NVMe SSD
Bandwidth3,170 Mbps
Throughput396.25 MB/s
IOPS13,300
Networking
PerformanceUp to 10 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
c5ad.large2 vCPU · 4 GiB
c5ad.xlarge4 vCPU · 8 GiB
c5ad.2xlarge8 vCPU · 16 GiB
c5ad.4xlarge16 vCPU · 32 GiB
c5ad.8xlarge32 vCPU · 64 GiB
c5ad.12xlarge48 vCPU · 96 GiB
c5ad.16xlarge64 vCPU · 128 GiB
c5ad.24xlarge96 vCPU · 192 GiB
c5ad.4xlarge

c5ad.4xlarge is AWS's compute-optimized EC2 size at 16 vCPU and 32 GiB. In the name, "c" stands for compute, "5" is the generation, "ad" marks AMD processors and local NVMe storage and "4xlarge" is the size within the c5ad family. It runs on AMD EPYC 7R32 at 3.3 GHz, and AWS introduced it in August 2020. AWS has since shipped c6i, c7i, c8i and c9g; c6i.4xlarge is the direct replacement at this size. On Rackspace Spot the same shape is ch.vs1.2xlarge — 16 vCPU, 32 GiB, matched on both dimensions, about 94% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

c5ad.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$0.688$0.281$0.433$0.297$0.041
$0.647 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.111
Hong Kong$0.041
Sydney, Australia$0.904$0.354$0.570$0.391$0.041
$0.863 savings
London, UK$0.131
US West, San Jose$0.002
US Central, Dallas 2no AWS region$0.122
US East, N. Virginia 2$0.688$0.281$0.433$0.297$0.162
$0.526 savings
When to use it
Good for
  • ●Scientific modelling and simulation
  • ●Ad serving and real-time bidding
  • ●Game servers and matchmaking
  • ●Workloads that fit inside 32 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. c6i.4xlarge is the newer generation at this size.
  • ●The working set needs more than 32 GiB of RAM
  • ●More than 2.00 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
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
Stop overpaying AWS. This compute costs $502/mo on AWS vs $30/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