Instances›AWS EC2›u-18tb1›u-18tb1.metal
Compute
vCPUs448
Memory18432 GiB
Mem / vCPU41.14 GiB
ProcessorXeon Platinum 8280L
Clock speedN/A
Architecturex86_64
Storage
TypeEBS only
BandwidthN/A
ThroughputN/A
IOPS0
Networking
Performance100 Gigabit
Max ENIsN/A
IPv6Yes
GPUNone
Family sizes
u-18tb1.112xlarge448 vCPU · 18432 GiB
u-18tb1.metal448 vCPU · 18432 GiB
u-18tb1.metal

The u-18tb1.metal is a memory-optimized AWS EC2 instance: 448 vCPU and 18432 GiB of memory, 41.14 GiB per vCPU. It runs on Intel Xeon Platinum 8280L (Cascade Lake), and AWS introduced it in October 2019. Spot's largest VM is 16 vCPU and 128 GiB, so matching this instance would take 131 × 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.

Match qualityNo single-node equivalent

u-18tb1.metal is 448 vCPU and 18,432 GiB. The largest comparable Spot node is mh.vs1.2xlarge at 16 vCPU and 128 GiB, so matching it would take 131 of them. That maths works out, but 131 nodes is a redesign rather than a migration — a single block of 18,432 GiB does not survive being split across a network.

If you chose u-18tb1.metal because the work genuinely needs 448 cores and 18,432 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$2.751
US Central, Chicagono AWS region$2.751
US Central, Dallasno AWS region$17.161
Hong Kong$2.751
Sydney, Australia$2.751
London, UK$17.161
US West, San Jose$0.262
US Central, Dallas 2no AWS region$31.702
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 18432 GiB of RAM
  • ●Parallel work that can occupy 448 vCPU
  • ●Network-heavy services — AWS rates this size at 100 Gigabit
Avoid if
  • ●The working set needs more than 18432 GiB of RAM
  • ●You want a single-machine Spot equivalent. At this size there is not one.
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 41.14 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
Rackspace Spot sells spare capacity at market prices. You pay what the market decides, not a list price.
  • 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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