Instances›AWS EC2›m9gd›m9gd.metal-48xl
Compute
vCPUs192
Memory768 GiB
Mem / vCPU4.00 GiB
ProcessorGraviton5 Processor
Clock speed3.3 GHz
Architecturearm64
Storage
Type3 × 3,800 GB NVMe SSD
Bandwidth72,000 Mbps
Throughput9000 MB/s
IOPS288,000
Networking
Performance100 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
m9gd.medium1 vCPU · 4 GiB
m9gd.large2 vCPU · 8 GiB
m9gd.xlarge4 vCPU · 16 GiB
m9gd.2xlarge8 vCPU · 32 GiB
m9gd.4xlarge16 vCPU · 64 GiB
m9gd.8xlarge32 vCPU · 128 GiB
m9gd.12xlarge48 vCPU · 192 GiB
m9gd.16xlarge64 vCPU · 256 GiB
m9gd.24xlarge96 vCPU · 384 GiB
m9gd.48xlarge192 vCPU · 768 GiB
m9gd.metal-48xl192 vCPU · 768 GiB
m9gd.metal-48xl

The m9gd.metal-48xl pairs 192 vCPU with 768 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, "9" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "metal-48xl" is the size within the m9gd family. It runs on AWS Graviton5 Processor at 3.3 GHz, and AWS introduced it in June 2026. m9gd is the current generation of the m family, so there is no newer AWS size to migrate to. Spot's node ladder tops out below this size, so m9gd.metal-48xl becomes 12 × gp.vs2.2xlarge (192 vCPU, 768 GiB combined), $12.07/hr on AWS in US East (N. Virginia), from $0.492/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 qualityScale-out match

m9gd.metal-48xl gives you 192 vCPU and 768 GiB in a single machine. The largest comparable Spot node, gp.vs2.2xlarge, is 16 vCPU and 64 GiB, so the equivalent here is 12 nodes rather than one.

Spot runs as managed Kubernetes, so a 12-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 192 cores and 768 GiB in one process, it does not.

x86_64 onlym9gd.metal-48xl is Graviton (arm64) and Rackspace Spot has no arm64 nodes, so you'd be moving to x86. You'll need x86 builds of your images, and per-core speed differs between the chips — worth testing before you decide how many nodes to run.
No local diskm9gd.metal-48xl comes with 3 × 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$12.067$1.546$0.492
$11.575 savings
US Central, Chicagono AWS region$0.492
US Central, Dallasno AWS region$0.612
Hong Kong$0.132
Sydney, Australia$15.164$2.133$1.932
$13.232 savings
London, UK$2.652
US West, San Jose$1.812
US Central, Dallas 2no AWS region$0.012
US East, N. Virginia 2$12.067$1.546$1.812
$10.255 savings
When to use it
Good for
  • ●Microservices and container fleets
  • ●Development, staging and CI environments
  • ●Small to mid-size relational databases
  • ●Workloads that fit inside 768 GiB of RAM
  • ●Jobs that want 3 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 100 Gigabit
  • ●Anything that shards cleanly across 12 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 768 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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 192 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
$8,809/mo on AWS on-demand against $359/mo on Rackspace Spot for the 12-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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