Instances›AWS EC2›r8ib›r8ib.96xlarge
Compute
vCPUs384
Memory3072 GiB
Mem / vCPU8.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth300,000 Mbps
Throughput37500 MB/s
IOPS1,440,000
Networking
Performance400 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
r8ib.large2 vCPU · 16 GiB
r8ib.xlarge4 vCPU · 32 GiB
r8ib.2xlarge8 vCPU · 64 GiB
r8ib.4xlarge16 vCPU · 128 GiB
r8ib.8xlarge32 vCPU · 256 GiB
r8ib.12xlarge48 vCPU · 384 GiB
r8ib.16xlarge64 vCPU · 512 GiB
r8ib.24xlarge96 vCPU · 768 GiB
r8ib.32xlarge128 vCPU · 1024 GiB
r8ib.48xlarge192 vCPU · 1536 GiB
r8ib.metal-48xl192 vCPU · 1536 GiB
r8ib.96xlarge384 vCPU · 3072 GiB
r8ib.metal-96xl384 vCPU · 3072 GiB
r8ib.96xlarge

The r8ib.96xlarge pairs 384 vCPU with 3072 GiB of RAM, the 8.00 GiB-per-vCPU ratio that marks a memory-optimized instance. In the name, "r" stands for RAM, "8" is the generation, "ib" marks Intel processors and block-storage optimisation and "96xlarge" is the size within the r8ib family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in April 2026. AWS has since shipped r9g. Spot's largest VM is 16 vCPU and 128 GiB, so matching this instance would take 24 × 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

r8ib.96xlarge is 384 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 24 of them. That maths works out, but 24 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 r8ib.96xlarge because the work genuinely needs 384 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$40.166$11.737$0.504
$39.662 savings
US Central, Chicagono AWS region$0.504
US Central, Dallasno AWS region$3.144
Hong Kong$0.504
Sydney, Australia$0.504
London, UK$3.144
US West, San Jose$48.200$14.821$0.048
$48.152 savings
US Central, Dallas 2no AWS region$5.808
When to use it
Good for
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●In-memory caches such as Redis and Memcached
  • ●Workloads that fit inside 3072 GiB of RAM
  • ●Parallel work that can occupy 384 vCPU
  • ●Network-heavy services — AWS rates this size at 400 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 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 384 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
r8ib.96xlarge is $29,321/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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