Instances›AWS EC2›x8g›x8g.48xlarge
Compute
vCPUs192
Memory3072 GiB
Mem / vCPU16.00 GiB
ProcessorGraviton4 Processor
Clock speed2.7 GHz
Architecturearm64
Storage
TypeEBS only
Bandwidth40,000 Mbps
Throughput5000 MB/s
IOPS240,000
Networking
Performance50 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
x8g.medium1 vCPU · 16 GiB
x8g.large2 vCPU · 32 GiB
x8g.xlarge4 vCPU · 64 GiB
x8g.2xlarge8 vCPU · 128 GiB
x8g.4xlarge16 vCPU · 256 GiB
x8g.8xlarge32 vCPU · 512 GiB
x8g.12xlarge48 vCPU · 768 GiB
x8g.16xlarge64 vCPU · 1024 GiB
x8g.24xlarge96 vCPU · 1536 GiB
x8g.metal-24xl96 vCPU · 1536 GiB
x8g.48xlarge192 vCPU · 3072 GiB
x8g.metal-48xl192 vCPU · 3072 GiB
x8g.48xlarge

The x8g.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, "g" marks AWS Graviton (ARM) processors and "48xlarge" is the size within the x8g family. It runs on AWS Graviton4 Processor at 2.7 GHz, and AWS introduced it in September 2024. x8g 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

x8g.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 x8g.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.

x86_64 onlyx8g.48xlarge 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$18.758$4.082$11.560$6.408$0.462
$18.296 savings
US Central, Chicagono AWS region$0.462
US Central, Dallasno AWS region$2.882
Hong Kong$0.462
Sydney, Australia$22.510$2.251$13.872$7.689$0.462
$22.048 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
  • ●In-memory caches such as Redis and Memcached
  • ●Large JVM heaps and application servers that hold state
  • ●OLAP and business intelligence query engines
  • ●Workloads that fit inside 3072 GiB of RAM
  • ●Parallel work that can occupy 192 vCPU
  • ●Network-heavy services — AWS rates this size at 50 Gigabit
Avoid if
  • ●The working set needs more than 3072 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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.
x8g.48xlarge is $13,694/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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