Instances›AWS EC2›x2gd›x2gd.2xlarge
Compute
vCPUs8
Memory128 GiB
Mem / vCPU16.00 GiB
ProcessorGraviton2 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type1 × 475 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.2xlarge

The x2gd.2xlarge is a memory-optimized AWS EC2 instance: 8 vCPU and 128 GiB of memory, 16.00 GiB per vCPU. In the name, "x" is the extra-memory line, "2" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "2xlarge" 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.2xlarge is the direct replacement at this size, scoring 191,632 CoreMark/s against this instance's 158,437 — roughly 21% more throughput for the same vCPU count. The nearest Spot node is mh.vs1.2xlarge at 16 vCPU and 128 GiB — 8 more vCPU and the same memory, $0.668/hr on AWS in US East (N. Virginia), from $0.021/hr on Rackspace Spot.

Match qualityx86 substitution

x2gd.2xlarge is Graviton (arm64). Rackspace Spot does not have arm64 servers, so mh.vs1.2xlarge 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.2xlarge comes with 1 × 475 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$0.668$0.176$0.412$0.228$0.021
$0.647 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.131
Hong Kong$0.021
Sydney, Australia$0.021
London, UK$0.131
US West, San Jose$0.002
US Central, Dallas 2no AWS region$0.242
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 128 GiB of RAM
  • ●Jobs that want 1 × 475 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 128 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 16.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
$488/mo on AWS on-demand against $15/mo on Rackspace Spot for the equivalent — market-priced, not list-priced.
  • 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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