Instances›AWS EC2›r6idn›r6idn.8xlarge
Compute
vCPUs32
Memory256 GiB
Mem / vCPU8.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type1 × 1,900 GB NVMe SSD
Bandwidth25,000 Mbps
Throughput3125 MB/s
IOPS100,000
Networking
Performance50 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.8xlarge

The r6idn.8xlarge pairs 32 vCPU with 256 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "r" stands for RAM, "6" is the generation, "idn" marks Intel processors, local NVMe storage and enhanced networking and "8xlarge" 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.8xlarge is the direct replacement at this size. Spot's node ladder tops out below this size, so r6idn.8xlarge becomes 2 × mh.vs1.2xlarge (32 vCPU, 256 GiB combined), $3.13/hr on AWS in US East (N. Virginia), from $0.042/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.8xlarge gives you 32 vCPU and 256 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 2 nodes rather than one.

Spot runs as managed Kubernetes, so a 2-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 32 cores and 256 GiB in one process, it does not.

No local diskr6idn.8xlarge comes with 1 × 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$3.126$0.881$1.970$1.273$0.042
$3.084 savings
US Central, Chicagono AWS region$0.042
US Central, Dallasno AWS region$0.262
Hong Kong$0.042
Sydney, Australia$3.819$0.931$2.406$1.563$0.042
$3.777 savings
London, UK$0.262
US West, San Jose$0.004
US Central, Dallas 2no AWS region$0.484
When to use it
Good for
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Workloads that fit inside 256 GiB of RAM
  • ●Jobs that want 1 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 50 Gigabit
  • ●Anything that shards cleanly across 2 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. r7i.8xlarge is the newer generation at this size.
  • ●The working set needs more than 256 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 32 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
r6idn.8xlarge runs $2,282/mo on AWS on-demand. The 2-node equivalent on Rackspace Spot: $31/mo.
  • 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.
Build your Cloudspace
Frequently asked questions