Instances›AWS EC2›x1e›x1e.xlarge
Compute
vCPUs4
Memory122 GiB
Mem / vCPU30.50 GiB
ProcessorHigh Frequency Intel Xeon E7-8880 v3
Clock speed2.3 GHz
Architecturex86_64
Storage
Type1 × 120 GB SSD
Bandwidth500 Mbps
Throughput62.5 MB/s
IOPS3,700
Networking
PerformanceUp to 10 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
x1e.xlarge4 vCPU · 122 GiB
x1e.2xlarge8 vCPU · 244 GiB
x1e.4xlarge16 vCPU · 488 GiB
x1e.8xlarge32 vCPU · 976 GiB
x1e.16xlarge64 vCPU · 1952 GiB
x1e.32xlarge128 vCPU · 3904 GiB
x1e.xlarge

x1e.xlarge is AWS's memory-optimized EC2 size at 4 vCPU and 122 GiB. In the name, "x" is the extra-memory line, "1" is the generation, "e" marks extended capacity and "xlarge" is the size within the x1e family. It runs on High Frequency Intel Xeon E7-8880 v3 (Haswell) at 2.3 GHz, and AWS introduced it in November 2017. AWS has since shipped x2gd and x8i; x2gd.xlarge is the direct replacement at this size, scoring 78,390 CoreMark/s against this instance's 61,300 — roughly 28% more throughput for the same vCPU count. Rackspace Spot maps this to mh.vs1.2xlarge (16 vCPU, 128 GiB), giving you 12 more vCPU and 6 GiB more memory, $0.834/hr on AWS in US East (N. Virginia), from $0.021/hr on Rackspace Spot.

Match qualityNo local disk

x1e.xlarge comes with 1 × 120 GB 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$0.834$0.198$0.514$0.268$0.021
$0.813 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.131
Hong Kong$0.021
Sydney, Australia$1.209$0.234$0.745$0.389$0.021
$1.188 savings
London, UK$0.131
US West, San Jose$0.002
US Central, Dallas 2no AWS region$0.242
When to use it
Good for
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Workloads that fit inside 122 GiB of RAM
  • ●Jobs that want 1 × 120 GB of local SSD scratch space
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. x2gd.xlarge is the newer generation at this size.
  • ●The working set needs more than 122 GiB of RAM
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 30.50 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 $609/mo on AWS vs $15/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