Instances›AWS EC2›x2iedn›x2iedn.2xlarge
Compute
vCPUs8
Memory256 GiB
Mem / vCPU32.00 GiB
ProcessorXeon Scalable
Clock speed3.5 GHz
Architecturex86_64
Storage
Type1 × 237 GB NVMe SSD
Bandwidth20,000 Mbps
Throughput2500 MB/s
IOPS65,000
Networking
PerformanceUp to 25 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
x2iedn.xlarge4 vCPU · 128 GiB
x2iedn.2xlarge8 vCPU · 256 GiB
x2iedn.4xlarge16 vCPU · 512 GiB
x2iedn.8xlarge32 vCPU · 1024 GiB
x2iedn.16xlarge64 vCPU · 2048 GiB
x2iedn.24xlarge96 vCPU · 3072 GiB
x2iedn.32xlarge128 vCPU · 4096 GiB
x2iedn.metal128 vCPU · 4096 GiB
x2iedn.2xlarge

x2iedn.2xlarge is AWS's memory-optimized EC2 size at 8 vCPU and 256 GiB. In the name, "x" is the extra-memory line, "2" is the generation, "iedn" marks Intel processors, extended capacity, local NVMe storage and enhanced networking and "2xlarge" is the size within the x2iedn family. It runs on Intel Xeon Scalable (Icelake) at 3.5 GHz, and AWS introduced it in March 2022. AWS has since shipped x8i; x8i.2xlarge is the direct replacement at this size, scoring 191,632 CoreMark/s against this instance's 137,628 — roughly 39% more throughput for the same vCPU count. The closest Spot shape is mh.vs1.2xlarge at 16 vCPU, so this instance maps to 2 of them — 32 vCPU and 256 GiB across the fleet, $1.67/hr on AWS in US East (N. Virginia), from $0.042/hr on Rackspace Spot. Spot delivers compute as managed Kubernetes, so a node pool of that size is the native shape of the answer rather than a workaround — provided the workload scales horizontally.

Match qualityScale-out match

x2iedn.2xlarge gives you 8 vCPU and 256 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 2 nodes rather than one.

Spot runs as managed Kubernetes, so a 2-node pool is the normal way to run things rather than a workaround. If your workload already sits behind a load balancer, a queue or a scheduler, it spreads across them without changes. If it needs all 8 cores and 256 GiB in one process, it does not.

No local diskx2iedn.2xlarge comes with 1 × 237 GB NVMe SSD attached to the machine. Spot nodes use network storage only, so that disk doesn't come with it. If you were using it as fast scratch space, you'd move to a persistent volume or object storage, which are slower to read.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$1.667$0.421$1.026$0.535$0.042
$1.625 savings
US Central, Chicagono AWS region$0.042
US Central, Dallasno AWS region$0.262
Hong Kong$0.042
Sydney, Australia$2.418$0.603$1.488$0.775$0.042
$2.376 savings
London, UK$2.101$0.622$1.293$0.674$0.262
$1.839 savings
US West, San Jose$2.167$0.233$1.334$0.695$0.004
$2.163 savings
US Central, Dallas 2no AWS region$0.484
When to use it
Good for
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Workloads that fit inside 256 GiB of RAM
  • ●Jobs that want 1 × 237 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 25 Gigabit
  • ●Anything that shards cleanly across 2 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 256 GiB of RAM
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 32.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
Stop overpaying AWS. This compute costs $1,217/mo on AWS vs $31/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.
Build your Cloudspace
Frequently asked questions