Instances›AWS EC2›r8g›r8g.metal-24xl
Compute
vCPUs96
Memory768 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth30,000 Mbps
Throughput3750 MB/s
IOPS120,000
Networking
Performance40 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
r8g.medium1 vCPU · 8 GiB
r8g.large2 vCPU · 16 GiB
r8g.xlarge4 vCPU · 32 GiB
r8g.2xlarge8 vCPU · 64 GiB
r8g.4xlarge16 vCPU · 128 GiB
r8g.8xlarge32 vCPU · 256 GiB
r8g.12xlarge48 vCPU · 384 GiB
r8g.16xlarge64 vCPU · 512 GiB
r8g.24xlarge96 vCPU · 768 GiB
r8g.metal-24xl96 vCPU · 768 GiB
r8g.48xlarge192 vCPU · 1536 GiB
r8g.metal-48xl192 vCPU · 1536 GiB
r8g.metal-24xl

The r8g.metal-24xl is a memory-optimized AWS EC2 instance: 96 vCPU and 768 GiB of memory, 8.00 GiB per vCPU. In the name, "r" stands for RAM, "8" is the generation, "g" marks AWS Graviton (ARM) processors and "metal-24xl" is the size within the r8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in July 2024. AWS has since shipped r9g. No single Spot node covers 96 vCPU and 768 GiB, so the equivalent is a fleet: 6 × mh.vs1.2xlarge, 96 vCPU and 768 GiB in total, $5.66/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 qualityVirtualised, not bare metal

r8g.metal-24xl is a full physical server — no virtualisation layer in the way, direct access to the hardware, and a socket count that licensing can verify.

Rackspace Spot no longer sells bare metal; everything in the catalog is a virtual machine. You get the same cores and memory (6 × mh.vs1.2xlarge, 96 vCPU, 768 GiB), but not the dedicated hardware. If you picked r8g.metal-24xl because you needed the real machine — nested virtualisation, per-socket licensing, low-level profiling — this is not a replacement at any price. If you picked it because it is the biggest r8g, it is the same compute for a lot less.

Runs as a fleetNo single Spot node has 96 vCPU; the largest comparable one has 16. So this runs as 6 nodes. That works if your workload already spreads across machines, and doesn't if one process needs all the cores together.
x86_64 onlyr8g.metal-24xl is Graviton (arm64) and Rackspace Spot has no arm64 nodes, so you'd be moving to x86. You'll need x86 builds of your images, and per-core speed differs between the chips — worth testing before you decide how many nodes to run.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$5.655$1.270$3.741$2.565$0.126
$5.529 savings
US Central, Chicagono AWS region$0.126
US Central, Dallasno AWS region$0.786
Hong Kong$7.498$4.943$3.368$0.126
$7.372 savings
Sydney, Australia$6.778$0.678$4.478$3.079$0.126
$6.652 savings
London, UK$6.642$0.664$4.404$3.003$0.786
$5.856 savings
US West, San Jose$6.283$0.628$4.156$2.850$0.012
$6.271 savings
US Central, Dallas 2no AWS region$1.452
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 768 GiB of RAM
  • ●Parallel work that can occupy 96 vCPU
  • ●Network-heavy services — AWS rates this size at 40 Gigabit
  • ●Anything that shards cleanly across 6 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 768 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●You need dedicated hardware. Rackspace Spot sells virtualised compute only.
  • ●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 96 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
$4,128/mo on AWS on-demand against $92/mo on Rackspace Spot for the 6-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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