Instances›AWS EC2›x8aedz›x8aedz.metal-12xl
Compute
vCPUs48
Memory1536 GiB
Mem / vCPU32.00 GiB
ProcessorEPYC 9R05 Processor
Clock speedUp to 5 GHz
Architecturex86_64
Storage
Type1 × 3,800 GB NVMe SSD
Bandwidth30,000 Mbps
Throughput3750 MB/s
IOPS120,000
Networking
Performance37.5 Gigabit
Max ENIs16
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.metal-12xl

The x8aedz.metal-12xl is a memory-optimized AWS EC2 instance: 48 vCPU and 1536 GiB of memory, 32.00 GiB per vCPU. 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 "metal-12xl" 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. No single Spot node covers 48 vCPU and 1536 GiB, so the equivalent is a fleet: 11 × mh.vs1.2xlarge, 176 vCPU and 1408 GiB in total. 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 qualityVirtualised, not bare metal

x8aedz.metal-12xl is a full physical server — no virtualisation layer in the way, direct access to the hardware, and a socket count that licensing can verify.

Rackspace Spot no longer sells bare metal; everything in the catalog is a virtual machine. You get the same cores and memory (11 × mh.vs1.2xlarge, 176 vCPU, 1,408 GiB), but not the dedicated hardware. If you picked x8aedz.metal-12xl because you needed the real machine — nested virtualisation, per-socket licensing, low-level profiling — this is not a replacement at any price. If you picked it because it is the biggest x8aedz, it is the same compute for a lot less.

Runs as a fleetNo single Spot node has 48 vCPU; the largest comparable one has 16. So this runs as 11 nodes. That works if your workload already spreads across machines, and doesn't if one process needs all the cores together.
No local diskx8aedz.metal-12xl comes with 1 × 3,800 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$0.231
US Central, Chicagono AWS region$0.231
US Central, Dallasno AWS region$1.441
Hong Kong$0.231
Sydney, Australia$0.231
London, UK$1.441
US West, San Jose$0.022
US Central, Dallas 2no AWS region$2.662
When to use it
Good for
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●Workloads that fit inside 1536 GiB of RAM
  • ●Jobs that want 1 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 37.5 Gigabit
  • ●Anything that shards cleanly across 11 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 1536 GiB of RAM
  • ●You need dedicated hardware. Rackspace Spot sells virtualised compute only.
  • ●The work is single-threaded. Most of these 48 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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