The r5n.24xlarge pairs 96 vCPU with 768 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "r" stands for RAM, "5" is the generation, "n" marks enhanced networking and "24xlarge" is the size within the r5n family. It runs on Intel Xeon Platinum 8259 (Cascade Lake) at 2.5 GHz, and AWS introduced it in October 2019. AWS has since shipped r6i, r7i, r8i and r9g; r6i.24xlarge is the direct replacement at this size, scoring 1,705,908 CoreMark/s against this instance's 1,355,214 — roughly 26% more throughput for the same vCPU count. Spot's node ladder tops out below this size, so r5n.24xlarge becomes 6 × mh.vs1.2xlarge (96 vCPU, 768 GiB combined), $7.15/hr on AWS in US East (N. Virginia), from $0.126/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
r5n.24xlarge gives you 96 vCPU and 768 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 6 nodes rather than one.
Spot runs as managed Kubernetes, so a 6-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 96 cores and 768 GiB in one process, it does not.
