Instances›AWS EC2›m6idn›m6idn.16xlarge
Compute
vCPUs64
Memory256 GiB
Mem / vCPU4.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type2 × 1,900 GB NVMe SSD
Bandwidth50,000 Mbps
Throughput6250 MB/s
IOPS200,000
Networking
Performance100 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
m6idn.large2 vCPU · 8 GiB
m6idn.xlarge4 vCPU · 16 GiB
m6idn.2xlarge8 vCPU · 32 GiB
m6idn.4xlarge16 vCPU · 64 GiB
m6idn.8xlarge32 vCPU · 128 GiB
m6idn.12xlarge48 vCPU · 192 GiB
m6idn.16xlarge64 vCPU · 256 GiB
m6idn.24xlarge96 vCPU · 384 GiB
m6idn.32xlarge128 vCPU · 512 GiB
m6idn.metal128 vCPU · 512 GiB
m6idn.16xlarge

m6idn.16xlarge is AWS's general-purpose EC2 size at 64 vCPU and 256 GiB. In the name, "m" is the general-purpose line, "6" is the generation, "idn" marks Intel processors, local NVMe storage and enhanced networking and "16xlarge" is the size within the m6idn family. It runs on Intel Xeon 8375C (Ice Lake) at 3.5 GHz, and AWS introduced it in November 2022. AWS has since shipped m7i, m8idn and m9g; m7i.16xlarge is the direct replacement at this size, scoring 1,339,566 CoreMark/s against this instance's 1,101,739 — roughly 22% more throughput for the same vCPU count. The closest Spot shape is gp.vs2.2xlarge at 16 vCPU, so this instance maps to 4 of them — 64 vCPU and 256 GiB across the fleet, $5.09/hr on AWS in US East (N. Virginia), from $0.164/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

m6idn.16xlarge gives you 64 vCPU and 256 GiB in a single machine. The largest comparable Spot node, gp.vs2.2xlarge, is 16 vCPU and 64 GiB, so the equivalent here is 4 nodes rather than one.

Spot runs as managed Kubernetes, so a 4-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 64 cores and 256 GiB in one process, it does not.

No local diskm6idn.16xlarge comes with 2 × 1,900 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$5.092$1.012$3.208$1.980$0.164
$4.928 savings
US Central, Chicagono AWS region$0.164
US Central, Dallasno AWS region$0.204
Hong Kong$0.044
Sydney, Australia$6.440$2.095$4.057$2.782$0.644
$5.796 savings
London, UK$5.791$0.579$3.649$2.232$0.884
$4.907 savings
US West, San Jose$5.870$1.326$3.698$2.263$0.604
$5.266 savings
US Central, Dallas 2no AWS region$0.004
US East, N. Virginia 2$5.092$1.012$3.208$1.980$0.604
$4.488 savings
When to use it
Good for
  • ●Web and application servers with mixed CPU and memory demand
  • ●Microservices and container fleets
  • ●Development, staging and CI environments
  • ●Workloads that fit inside 256 GiB of RAM
  • ●Jobs that want 2 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 100 Gigabit
  • ●Anything that shards cleanly across 4 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. m7i.16xlarge is the newer generation at this size.
  • ●The working set needs more than 256 GiB of RAM
  • ●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 64 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
Stop overpaying AWS. This compute costs $3,717/mo on AWS vs $120/mo on Rackspace Spot.
  • 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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