Instances›AWS EC2›r6idn›r6idn.12xlarge
Compute
vCPUs48
Memory384 GiB
Mem / vCPU8.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type2 × 1,425 GB NVMe SSD
Bandwidth37,500 Mbps
Throughput4687.5 MB/s
IOPS150,000
Networking
Performance75 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
r6idn.large2 vCPU · 16 GiB
r6idn.xlarge4 vCPU · 32 GiB
r6idn.2xlarge8 vCPU · 64 GiB
r6idn.4xlarge16 vCPU · 128 GiB
r6idn.8xlarge32 vCPU · 256 GiB
r6idn.12xlarge48 vCPU · 384 GiB
r6idn.16xlarge64 vCPU · 512 GiB
r6idn.24xlarge96 vCPU · 768 GiB
r6idn.32xlarge128 vCPU · 1024 GiB
r6idn.metal128 vCPU · 1024 GiB
r6idn.12xlarge

The r6idn.12xlarge is a memory-optimized AWS EC2 instance: 48 vCPU and 384 GiB of memory, 8.00 GiB per vCPU. In the name, "r" stands for RAM, "6" is the generation, "idn" marks Intel processors, local NVMe storage and enhanced networking and "12xlarge" is the size within the r6idn family. It runs on Intel Xeon 8375C (Ice Lake) at 3.5 GHz, and AWS introduced it in November 2022. AWS has since shipped r7i, r8idn and r9g; r7i.12xlarge is the direct replacement at this size. No single Spot node covers 48 vCPU and 384 GiB, so the equivalent is a fleet: 3 × mh.vs1.2xlarge, 48 vCPU and 384 GiB in total, $4.69/hr on AWS in US East (N. Virginia), from $0.063/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

r6idn.12xlarge gives you 48 vCPU and 384 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 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 384 GiB in one process, it does not.

No local diskr6idn.12xlarge comes with 2 × 1,425 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$4.689$1.372$2.954$1.909$0.063
$4.626 savings
US Central, Chicagono AWS region$0.063
US Central, Dallasno AWS region$0.393
Hong Kong$0.063
Sydney, Australia$5.728$1.442$3.609$2.345$0.063
$5.665 savings
London, UK$0.393
US West, San Jose$0.006
US Central, Dallas 2no AWS region$0.726
When to use it
Good for
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●Workloads that fit inside 384 GiB of RAM
  • ●Jobs that want 2 × 1,425 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 75 Gigabit
  • ●Anything that shards cleanly across 3 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. r7i.12xlarge is the newer generation at this size.
  • ●The working set needs more than 384 GiB of RAM
  • ●More than 8.00 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.
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
$3,423/mo on AWS on-demand against $46/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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