Instances›AWS EC2›x2gd›x2gd.xlarge
Compute
vCPUs4
Memory64 GiB
Mem / vCPU16.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 237 GB NVMe SSD
Bandwidth4,750 Mbps
Throughput593.75 MB/s
IOPS20,000
Networking
PerformanceUp to 10 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
x2gd.medium1 vCPU · 16 GiB
x2gd.large2 vCPU · 32 GiB
x2gd.xlarge4 vCPU · 64 GiB
x2gd.2xlarge8 vCPU · 128 GiB
x2gd.4xlarge16 vCPU · 256 GiB
x2gd.8xlarge32 vCPU · 512 GiB
x2gd.12xlarge48 vCPU · 768 GiB
x2gd.16xlarge64 vCPU · 1024 GiB
x2gd.metal64 vCPU · 1024 GiB
x2gd.xlarge

The x2gd.xlarge pairs 4 vCPU with 64 GiB of RAM, the 16.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "x" is the extra-memory line, "2" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "xlarge" is the size within the x2gd family. It runs on AWS Graviton2 Processor at 2.5 GHz, and AWS introduced it in March 2021. AWS has since shipped x8i; x8i.xlarge is the direct replacement at this size, scoring 98,051 CoreMark/s against this instance's 78,390 — roughly 25% more throughput for the same vCPU count. mh.vs1.xlarge is the closest Spot shape: 8 vCPU and 64 GiB, so 4 more vCPU and the same memory, about 91% below the US East (N. Virginia) on-demand rate.

Match qualityx86 substitution

x2gd.xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.vs1.xlarge is an x86_64 substitute with similar specs.

You will need x86 builds of your container images. Most software rebuilds without changes, but anything with compiled native code needs a real rebuild rather than a retag. Speed per core also differs between the two chips, so it is worth testing before deciding how many nodes to run.

No local diskx2gd.xlarge 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$0.334$0.096$0.206$0.114$0.031
$0.303 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.081
Hong Kong$0.011
Sydney, Australia$0.131
London, UK$0.041
US West, San Jose$0.001
US Central, Dallas 2no AWS region$0.121
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 64 GiB of RAM
  • ●Jobs that want 1 × 237 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●The working set needs more than 64 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●More than 16.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
Stop overpaying AWS. This compute costs $244/mo on AWS vs $23/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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