Instances›AWS EC2›m8a›m8a.metal-24xl
Compute
vCPUs96
Memory384 GiB
Mem / vCPU4.00 GiB
ProcessorEPYC 9R45 Processor
Clock speedUp to 4.5 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth30,000 Mbps
Throughput3750 MB/s
IOPS120,000
Networking
Performance40 Gigabit
Max ENIs16
IPv6Yes
GPUNone
Family sizes
m8a.medium1 vCPU · 4 GiB
m8a.large2 vCPU · 8 GiB
m8a.xlarge4 vCPU · 16 GiB
m8a.2xlarge8 vCPU · 32 GiB
m8a.4xlarge16 vCPU · 64 GiB
m8a.8xlarge32 vCPU · 128 GiB
m8a.12xlarge48 vCPU · 192 GiB
m8a.16xlarge64 vCPU · 256 GiB
m8a.24xlarge96 vCPU · 384 GiB
m8a.metal-24xl96 vCPU · 384 GiB
m8a.48xlarge192 vCPU · 768 GiB
m8a.metal-48xl192 vCPU · 768 GiB
m8a.metal-24xl

The m8a.metal-24xl pairs 96 vCPU with 384 GiB of RAM, the 4.00 GiB-per-vCPU ratio that marks a general-purpose instance. In the name, "m" is the general-purpose line, "8" is the generation, "a" marks AMD processors and "metal-24xl" is the size within the m8a family. It runs on AMD EPYC 9R45 Processor at Up to 4.5 GHz, and AWS introduced it in October 2025. AWS has since shipped m9g. Spot's node ladder tops out below this size, so m8a.metal-24xl becomes 6 × gp.vs2.2xlarge (96 vCPU, 384 GiB combined), $5.84/hr on AWS in US East (N. Virginia), from $0.246/hr on Rackspace Spot. 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

m8a.metal-24xl 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 (6 × gp.vs2.2xlarge, 96 vCPU, 384 GiB), but not the dedicated hardware. If you picked m8a.metal-24xl 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 m8a, it is the same compute for a lot less.

Runs as a fleetNo single Spot node has 96 vCPU; the largest comparable one has 16. So this runs as 6 nodes. That works if your workload already spreads across machines, and doesn't if one process needs all the cores together.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$5.843$1.230$0.246
$5.597 savings
US Central, Chicagono AWS region$0.246
US Central, Dallasno AWS region$0.306
Hong Kong$0.066
Sydney, Australia$0.966
London, UK$1.326
US West, San Jose$0.906
US Central, Dallas 2no AWS region$0.006
US East, N. Virginia 2$5.843$1.230$0.906
$4.937 savings
When to use it
Good for
  • ●Development, staging and CI environments
  • ●Small to mid-size relational databases
  • ●Backend services with no single dominant resource
  • ●Workloads that fit inside 384 GiB of RAM
  • ●Parallel work that can occupy 96 vCPU
  • ●Network-heavy services — AWS rates this size at 40 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 384 GiB of RAM
  • ●You need dedicated hardware. Rackspace Spot sells virtualised compute only.
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 96 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
$4,265/mo on AWS on-demand against $180/mo on Rackspace Spot for the 6-node 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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