Instances›AWS EC2›x8aedz›x8aedz.6xlarge
Compute
vCPUs24
Memory768 GiB
Mem / vCPU32.00 GiB
ProcessorEPYC 9R05 Processor
Clock speedUp to 5 GHz
Architecturex86_64
Storage
Type1 × 1,900 GB NVMe SSD
Bandwidth15,000 Mbps
Throughput1875 MB/s
IOPS60,000
Networking
Performance18.75 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
x8aedz.large2 vCPU · 64 GiB
x8aedz.xlarge4 vCPU · 128 GiB
x8aedz.3xlarge12 vCPU · 384 GiB
x8aedz.6xlarge24 vCPU · 768 GiB
x8aedz.12xlarge48 vCPU · 1536 GiB
x8aedz.metal-12xl48 vCPU · 1536 GiB
x8aedz.24xlarge96 vCPU · 3072 GiB
x8aedz.metal-24xl96 vCPU · 3072 GiB
x8aedz.6xlarge

x8aedz.6xlarge is AWS's memory-optimized EC2 size at 24 vCPU and 768 GiB. In the name, "x" is the extra-memory line, "8" is the generation, "aedz" marks AMD processors, extended capacity, local NVMe storage and a higher clock and "6xlarge" is the size within the x8aedz family. It runs on AMD EPYC 9R05 Processor at Up to 5 GHz, and AWS introduced it in December 2025. x8aedz is the current generation of the x family, so there is no newer AWS size to migrate to. The closest Spot shape is mh.vs1.2xlarge at 16 vCPU, so this instance maps to 6 of them — 96 vCPU and 768 GiB across the fleet. 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

x8aedz.6xlarge gives you 24 vCPU and 768 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 6 nodes rather than one.

Spot runs as managed Kubernetes, so a 6-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 24 cores and 768 GiB in one process, it does not.

No local diskx8aedz.6xlarge comes with 1 × 1,900 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$0.126
US Central, Chicagono AWS region$0.126
US Central, Dallasno AWS region$0.786
Hong Kong$0.126
Sydney, Australia$0.126
London, UK$0.786
US West, San Jose$0.011
US Central, Dallas 2no AWS region$1.331
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 768 GiB of RAM
  • ●Jobs that want 1 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 18.75 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 768 GiB of RAM
  • ●The work is single-threaded. Most of these 24 vCPU would sit idle.
  • ●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
Rackspace Spot sells spare capacity at market prices. You pay what the market decides, not a list price.
  • 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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