Instances›AWS EC2›c8id›c8id.96xlarge
Compute
vCPUs384
Memory768 GiB
Mem / vCPU2.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
Type6 × 3,800 GB NVMe SSD
Bandwidth80,000 Mbps
Throughput10000 MB/s
IOPS480,000
Networking
Performance100 Gigabit
Max ENIs24
IPv6Yes
GPUNone
Family sizes
c8id.large2 vCPU · 4 GiB
c8id.xlarge4 vCPU · 8 GiB
c8id.2xlarge8 vCPU · 16 GiB
c8id.4xlarge16 vCPU · 32 GiB
c8id.8xlarge32 vCPU · 64 GiB
c8id.12xlarge48 vCPU · 96 GiB
c8id.16xlarge64 vCPU · 128 GiB
c8id.24xlarge96 vCPU · 192 GiB
c8id.32xlarge128 vCPU · 256 GiB
c8id.48xlarge192 vCPU · 384 GiB
c8id.metal-48xl192 vCPU · 384 GiB
c8id.96xlarge384 vCPU · 768 GiB
c8id.metal-96xl384 vCPU · 768 GiB
c8id.96xlarge

The c8id.96xlarge pairs 384 vCPU with 768 GiB of RAM, the 2.00 GiB-per-vCPU ratio that marks a compute-optimized instance. In the name, "c" stands for compute, "8" is the generation, "id" marks Intel processors and local NVMe storage and "96xlarge" is the size within the c8id family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in February 2026. AWS has since shipped c9g. Spot's largest VM is 16 vCPU and 128 GiB, so matching this instance would take 24 × ch.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 $0.041/hr per node.

Match qualityNo single-node equivalent

c8id.96xlarge is 384 vCPU and 768 GiB. The largest comparable Spot node is ch.vs1.2xlarge at 16 vCPU and 32 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 768 GiB does not survive being split across a network.

If you chose c8id.96xlarge because the work genuinely needs 384 cores and 768 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.

No local diskc8id.96xlarge comes with 6 × 3,800 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$21.289$3.740$0.984
$20.305 savings
US Central, Chicagono AWS region$0.264
US Central, Dallasno AWS region$2.664
Hong Kong$0.984
Sydney, Australia$27.942$5.916$0.984
$26.958 savings
London, UK$3.144
US West, San Jose$0.048
US Central, Dallas 2no AWS region$2.928
US East, N. Virginia 2$21.289$3.740$3.888
$17.401 savings
When to use it
Good for
  • ●High-traffic web and API serving
  • ●Scientific modelling and simulation
  • ●Ad serving and real-time bidding
  • ●Workloads that fit inside 768 GiB of RAM
  • ●Jobs that want 6 × 3,800 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 100 Gigabit
Avoid if
  • ●The working set needs more than 768 GiB of RAM
  • ●You want a single-machine Spot equivalent. At this size there is not one.
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
  • ●More than 2.00 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.
  • ●GPU or FPGA acceleration is needed
c8id.96xlarge is $15,541/mo on AWS on-demand. A ch.vs1.2xlarge node on Rackspace Spot is $30/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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