Instances›AWS EC2›i7i›i7i.metal-48xl
Compute
vCPUs192
Memory1536 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Scalable
Clock speed3.2 GHz
Architecturex86_64
Storage
Type12 × 3,750 GB NVMe SSD
Bandwidth60,000 Mbps
Throughput7500 MB/s
IOPS240,000
Networking
PerformanceUp to 100 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
i7i.large2 vCPU · 16 GiB
i7i.xlarge4 vCPU · 32 GiB
i7i.2xlarge8 vCPU · 64 GiB
i7i.4xlarge16 vCPU · 128 GiB
i7i.8xlarge32 vCPU · 256 GiB
i7i.12xlarge48 vCPU · 384 GiB
i7i.16xlarge64 vCPU · 512 GiB
i7i.24xlarge96 vCPU · 768 GiB
i7i.metal-24xl96 vCPU · 768 GiB
i7i.48xlarge192 vCPU · 1536 GiB
i7i.metal-48xl192 vCPU · 1536 GiB
i7i.metal-48xl

The i7i.metal-48xl pairs 192 vCPU with 1536 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a storage-optimized instance. In the name, "i" is I/O, meaning local storage, "7" is the generation, "i" marks Intel processors and "metal-48xl" is the size within the i7i family. It runs on Intel Xeon Scalable (Emerald Rapids) at 3.2 GHz, and AWS introduced it in April 2025. AWS has since shipped i8g; i8g.metal-48xl is the direct replacement at this size. Spot's node ladder tops out below this size, so i7i.metal-48xl becomes 12 × mh.vs1.2xlarge (192 vCPU, 1536 GiB combined), $18.12/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 qualityVirtualised, not bare metal

i7i.metal-48xl 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 (12 × mh.vs1.2xlarge, 192 vCPU, 1,536 GiB), but not the dedicated hardware. If you picked i7i.metal-48xl 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 i7i, it is the same compute for a lot less.

Runs as a fleetNo single Spot node has 192 vCPU; the largest comparable one has 16. So this runs as 12 nodes. That works if your workload already spreads across machines, and doesn't if one process needs all the cores together.
No local diski7i.metal-48xl comes with 12 × 3,750 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$18.121$4.799$0.252
$17.869 savings
US Central, Chicagono AWS region$0.252
US Central, Dallasno AWS region$1.572
Hong Kong$23.929$0.252
$23.677 savings
Sydney, Australia$21.722$2.172$0.252
$21.470 savings
London, UK$21.025$2.103$1.572
$19.453 savings
US West, San Jose$19.980$1.998$0.024
$19.956 savings
US Central, Dallas 2no AWS region$2.904
When to use it
Good for
  • ●Data warehousing and log processing
  • ●Distributed file systems and search indexes
  • ●Transactional databases with heavy random I/O
  • ●Workloads that fit inside 1536 GiB of RAM
  • ●Jobs that want 12 × 3,750 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 100 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
  • ●You need dedicated hardware. Rackspace Spot sells virtualised compute only.
  • ●The work is single-threaded. Most of these 192 vCPU would sit idle.
  • ●GPU or FPGA acceleration is needed
  • ●Workloads that never touch local disk. The instance-store premium is wasted.
  • ●More than 8.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
i7i.metal-48xl runs $13,228/mo on AWS on-demand. The 12-node equivalent on Rackspace Spot: $184/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.
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