Instances›AWS EC2›m7i›m7i.12xlarge
Compute
vCPUs48
Memory192 GiB
Mem / vCPU4.00 GiB
ProcessorXeon Scalable
Clock speed3.2 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth15,000 Mbps
Throughput1875 MB/s
IOPS60,000
Networking
Performance18.75 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
m7i.large2 vCPU · 8 GiB
m7i.xlarge4 vCPU · 16 GiB
m7i.2xlarge8 vCPU · 32 GiB
m7i.4xlarge16 vCPU · 64 GiB
m7i.8xlarge32 vCPU · 128 GiB
m7i.12xlarge48 vCPU · 192 GiB
m7i.16xlarge64 vCPU · 256 GiB
m7i.24xlarge96 vCPU · 384 GiB
m7i.metal-24xl96 vCPU · 384 GiB
m7i.48xlarge192 vCPU · 768 GiB
m7i.metal-48xl192 vCPU · 768 GiB
m7i.12xlarge

m7i.12xlarge is AWS's general-purpose EC2 size at 48 vCPU and 192 GiB. In the name, "m" is the general-purpose line, "7" is the generation, "i" marks Intel processors and "12xlarge" is the size within the m7i family. It runs on Intel Xeon Scalable (Sapphire Rapids) at 3.2 GHz, and AWS introduced it in August 2023. AWS has since shipped m8i and m9g; m8i.12xlarge is the direct replacement at this size. The closest Spot shape is gp.vs2.2xlarge at 16 vCPU, so this instance maps to 3 of them — 48 vCPU and 192 GiB across the fleet, about 95% below the US East (N. Virginia) on-demand rate. 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

m7i.12xlarge gives you 48 vCPU and 192 GiB in a single machine. The largest comparable Spot node, gp.vs2.2xlarge, is 16 vCPU and 64 GiB, so the equivalent here is 3 nodes rather than one.

Spot runs as managed Kubernetes, so a 3-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 48 cores and 192 GiB in one process, it does not.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$2.419$0.783$1.600$1.097$0.123
$2.296 savings
US Central, Chicagono AWS region$0.123
US Central, Dallasno AWS region$0.153
Hong Kong$3.326$2.200$1.509$0.033
$3.293 savings
Sydney, Australia$3.024$1.214$2.000$1.372$0.483
$2.541 savings
London, UK$2.797$0.327$1.848$1.272$0.663
$2.134 savings
US West, San Jose$2.822$0.618$1.861$1.286$0.453
$2.369 savings
US Central, Dallas 2no AWS region$0.003
US East, N. Virginia 2$2.419$0.783$1.600$1.097$0.453
$1.966 savings
When to use it
Good for
  • ●Queue workers and scheduled jobs
  • ●Web and application servers with mixed CPU and memory demand
  • ●Microservices and container fleets
  • ●Workloads that fit inside 192 GiB of RAM
  • ●Parallel work that can occupy 48 vCPU
  • ●Network-heavy services — AWS rates this size at 18.75 Gigabit
  • ●Anything that shards cleanly across 3 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. m8i.12xlarge is the newer generation at this size.
  • ●The working set needs more than 192 GiB of RAM
  • ●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 48 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
$1,766/mo on AWS on-demand against $90/mo on Rackspace Spot for the 3-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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