Instances›AWS EC2›r6idn›r6idn.32xlarge
Compute
vCPUs128
Memory1024 GiB
Mem / vCPU8.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type4 × 1,900 GB NVMe SSD
Bandwidth100,000 Mbps
Throughput12500 MB/s
IOPS400,000
Networking
Performance200 Gigabit
Max ENIs16
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.32xlarge

The r6idn.32xlarge is a memory-optimized AWS EC2 instance: 128 vCPU and 1024 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 "32xlarge" 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; r7a.32xlarge is the direct replacement at this size. No single Spot node covers 128 vCPU and 1024 GiB, so the equivalent is a fleet: 8 × mh.vs1.2xlarge, 128 vCPU and 1024 GiB in total, $12.51/hr on AWS in US East (N. Virginia), from $0.168/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.32xlarge gives you 128 vCPU and 1,024 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 8 nodes rather than one.

Spot runs as managed Kubernetes, so a 8-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 128 cores and 1,024 GiB in one process, it does not.

No local diskr6idn.32xlarge comes with 4 × 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$12.505$3.932$7.878$5.091$0.168
$12.337 savings
US Central, Chicagono AWS region$0.168
US Central, Dallasno AWS region$1.048
Hong Kong$0.168
Sydney, Australia$15.275$2.055$9.624$6.253$0.168
$15.107 savings
London, UK$1.048
US West, San Jose$0.016
US Central, Dallas 2no AWS region$1.936
When to use it
Good for
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●Workloads that fit inside 1024 GiB of RAM
  • ●Jobs that want 4 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 200 Gigabit
  • ●Anything that shards cleanly across 8 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. r7a.32xlarge is the newer generation at this size.
  • ●The working set needs more than 1024 GiB of RAM
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●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 128 vCPU would sit idle.
$9,129/mo on AWS on-demand against $123/mo on Rackspace Spot for the 8-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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