Instances›AWS EC2›r8id›r8id.48xlarge
Compute
vCPUs192
Memory1536 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
Type3 × 3,800 GB NVMe SSD
Bandwidth60,000 Mbps
Throughput7500 MB/s
IOPS240,000
Networking
Performance75 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
r8id.large2 vCPU · 16 GiB
r8id.xlarge4 vCPU · 32 GiB
r8id.2xlarge8 vCPU · 64 GiB
r8id.4xlarge16 vCPU · 128 GiB
r8id.8xlarge32 vCPU · 256 GiB
r8id.12xlarge48 vCPU · 384 GiB
r8id.16xlarge64 vCPU · 512 GiB
r8id.24xlarge96 vCPU · 768 GiB
r8id.32xlarge128 vCPU · 1024 GiB
r8id.48xlarge192 vCPU · 1536 GiB
r8id.metal-48xl192 vCPU · 1536 GiB
r8id.96xlarge384 vCPU · 3072 GiB
r8id.metal-96xl384 vCPU · 3072 GiB
r8id.48xlarge

The r8id.48xlarge is a memory-optimized AWS EC2 instance: 192 vCPU and 1536 GiB of memory, 8.00 GiB per vCPU. In the name, "r" stands for RAM, "8" is the generation, "id" marks Intel processors and local NVMe storage and "48xlarge" is the size within the r8id family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in February 2026. AWS has since shipped r9g; r9g.48xlarge is the direct replacement at this size. No single Spot node covers 192 vCPU and 1536 GiB, so the equivalent is a fleet: 12 × mh.vs1.2xlarge, 192 vCPU and 1536 GiB in total, $15.97/hr on AWS in US East (N. Virginia), from $0.252/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

r8id.48xlarge gives you 192 vCPU and 1,536 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 12 nodes rather than one.

Spot runs as managed Kubernetes, so a 12-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 192 cores and 1,536 GiB in one process, it does not.

No local diskr8id.48xlarge comes with 3 × 3,800 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$15.967$3.835$0.252
$15.715 savings
US Central, Chicagono AWS region$0.252
US Central, Dallasno AWS region$1.572
Hong Kong$0.252
Sydney, Australia$18.374$2.996$0.252
$18.122 savings
London, UK$18.739$3.354$1.572
$17.167 savings
US West, San Jose$0.024
US Central, Dallas 2no AWS region$2.904
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 1536 GiB of RAM
  • ●Jobs that want 3 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 75 Gigabit
  • ●Anything that shards cleanly across 12 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 1536 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 192 vCPU would sit idle.
$11,656/mo on AWS on-demand against $184/mo on Rackspace Spot for the 12-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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