Instances›AWS EC2›x8aedz›x8aedz.24xlarge
Compute
vCPUs96
Memory3072 GiB
Mem / vCPU32.00 GiB
ProcessorEPYC 9R05 Processor
Clock speedUp to 5 GHz
Architecturex86_64
Storage
Type2 × 3,800 GB NVMe SSD
Bandwidth60,000 Mbps
Throughput7500 MB/s
IOPS240,000
Networking
Performance75 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.24xlarge

The x8aedz.24xlarge pairs 96 vCPU with 3072 GiB of RAM, the 32.00 GiB-per-vCPU ratio that marks a memory-optimized instance. 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 "24xlarge" 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. Spot's largest VM is 16 vCPU and 128 GiB, so matching this instance would take 22 × mh.vs1.2xlarge — arithmetically true and operationally absurd. The Spot column below prices that whole fleet, so read it as a scale reference rather than a drop-in replacement: at this size the useful question is what a shard of the workload costs.

Match qualityNo single-node equivalent

x8aedz.24xlarge is 96 vCPU and 3,072 GiB. The largest comparable Spot node is mh.vs1.2xlarge at 16 vCPU and 128 GiB, so matching it would take 22 of them. That maths works out, but 22 nodes is a redesign rather than a migration — a single block of 3,072 GiB does not survive being split across a network.

If you chose x8aedz.24xlarge because the work genuinely needs 96 cores and 3,072 GiB together — an in-memory database, a large analytics engine, a single big solver — Rackspace Spot has no equivalent. What does fit is everything around it: the application servers, batch workers and CI that talk to that machine, which is usually the larger share of the bill.

No local diskx8aedz.24xlarge comes with 2 × 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$0.462
US Central, Chicagono AWS region$0.462
US Central, Dallasno AWS region$2.882
Hong Kong$0.462
Sydney, Australia$0.462
London, UK$2.882
US West, San Jose$0.044
US Central, Dallas 2no AWS region$5.324
When to use it
Good for
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●OLAP and business intelligence query engines
  • ●Workloads that fit inside 3072 GiB of RAM
  • ●Jobs that want 2 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 75 Gigabit
Avoid if
  • ●The working set needs more than 3072 GiB of RAM
  • ●You want a single-machine Spot equivalent. At this size there is not one.
  • ●The work is single-threaded. Most of these 96 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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