Instances›AWS EC2›x8i›x8i.48xlarge
Compute
vCPUs192
Memory3072 GiB
Mem / vCPU16.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth60,000 Mbps
Throughput7500 MB/s
IOPS240,000
Networking
Performance75 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
x8i.large2 vCPU · 32 GiB
x8i.xlarge4 vCPU · 64 GiB
x8i.2xlarge8 vCPU · 128 GiB
x8i.4xlarge16 vCPU · 256 GiB
x8i.8xlarge32 vCPU · 512 GiB
x8i.12xlarge48 vCPU · 768 GiB
x8i.16xlarge64 vCPU · 1024 GiB
x8i.24xlarge96 vCPU · 1536 GiB
x8i.32xlarge128 vCPU · 2048 GiB
x8i.48xlarge192 vCPU · 3072 GiB
x8i.metal-48xl192 vCPU · 3072 GiB
x8i.64xlarge256 vCPU · 4096 GiB
x8i.96xlarge384 vCPU · 6144 GiB
x8i.metal-96xl384 vCPU · 6144 GiB
x8i.48xlarge

The x8i.48xlarge pairs 192 vCPU with 3072 GiB of RAM, the 16.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "x" is the extra-memory line, "8" is the generation, "i" marks Intel processors and "48xlarge" is the size within the x8i family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in January 2026. x8i is the current generation of the x family, so there is no newer AWS size to migrate to. Spot's largest VM is 16 vCPU and 128 GiB, so matching this instance would take 22 × mh.vs1.2xlarge — arithmetically true and operationally absurd. The Spot column below prices that whole fleet, so read it as a scale reference rather than a drop-in replacement: at this size the useful question is what a shard of the workload costs, which is $0.021/hr per node.

Match qualityNo single-node equivalent

x8i.48xlarge is 192 vCPU and 3,072 GiB. The largest comparable Spot node is mh.vs1.2xlarge at 16 vCPU and 128 GiB, so matching it would take 22 of them. That maths works out, but 22 nodes is a redesign rather than a migration — a single block of 3,072 GiB does not survive being split across a network.

If you chose x8i.48xlarge because the work genuinely needs 192 cores and 3,072 GiB together — an in-memory database, a large analytics engine, a single big solver — Rackspace Spot has no equivalent. What does fit is everything around it: the application servers, batch workers and CI that talk to that machine, which is usually the larger share of the bill.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$21.008$2.428$0.462
$20.546 savings
US Central, Chicagono AWS region$0.462
US Central, Dallasno AWS region$2.882
Hong Kong$0.462
Sydney, Australia$30.462$3.046$0.462
$30.000 savings
London, UK$2.882
US West, San Jose$0.044
US Central, Dallas 2no AWS region$5.324
When to use it
Good for
  • ●Large JVM heaps and application servers that hold state
  • ●OLAP and business intelligence query engines
  • ●Real-time analytics over hot datasets
  • ●Workloads that fit inside 3072 GiB of RAM
  • ●Parallel work that can occupy 192 vCPU
  • ●Network-heavy services — AWS rates this size at 75 Gigabit
Avoid if
  • ●The working set needs more than 3072 GiB of RAM
  • ●You want a single-machine Spot equivalent. At this size there is not one.
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 16.00 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.
  • ●Local NVMe or instance-store disk is a hard requirement
x8i.48xlarge is $15,336/mo on AWS on-demand. A mh.vs1.2xlarge node on Rackspace Spot is $15/mo — at this size the per-node price is the honest comparison.
  • 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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