Instances›AWS EC2›cc2›cc2.8xlarge
Compute
vCPUs32
Memory60.5 GiB
Mem / vCPU1.89 GiB
ProcessorXeon E5-2670
Clock speed2.6 GHz
Architecturex86_64
Storage
TypeEBS only
BandwidthN/A
ThroughputN/A
IOPS0
Networking
Performance10 Gigabit
Max ENIsN/A
IPv6No
GPUNone
Family sizes
cc2.8xlarge32 vCPU · 60.5 GiB
cc2.8xlarge

The cc2.8xlarge pairs 32 vCPU with 60.5 GiB of RAM, the 1.89 GiB-per-vCPU ratio that marks a compute-optimized instance. In the name, "2" is the generation and "8xlarge" is the size within the cc2 family. It runs on Intel Xeon E5-2670 at 2.6 GHz, and AWS introduced it in November 2011. cc2 is the current generation of the cc family, so there is no newer AWS size to migrate to. Spot's node ladder tops out below this size, so cc2.8xlarge becomes 2 × ch.vs1.2xlarge (32 vCPU, 64 GiB combined). Spot delivers compute as managed Kubernetes, so a node pool of that size is the native shape of the answer rather than a workaround — provided the workload scales horizontally.

Match qualityScale-out match

cc2.8xlarge gives you 32 vCPU and 60.5 GiB in a single machine. The largest comparable Spot node, ch.vs1.2xlarge, is 16 vCPU and 32 GiB, so the equivalent here is 2 nodes rather than one.

Spot runs as managed Kubernetes, so a 2-node pool is the normal way to run things rather than a workaround. If your workload already sits behind a load balancer, a queue or a scheduler, it spreads across them without changes. If it needs all 32 cores and 60.5 GiB in one process, it does not.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.082
US Central, Chicagono AWS region$0.022
US Central, Dallasno AWS region$0.222
Hong Kong$0.082
Sydney, Australia$0.082
London, UK$0.262
US West, San Jose$0.004
US Central, Dallas 2no AWS region$0.244
US East, N. Virginia 2$0.324
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 60.5 GiB of RAM
  • ●Parallel work that can occupy 32 vCPU
  • ●Network-heavy services — AWS rates this size at 10 Gigabit
  • ●Anything that shards cleanly across 2 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 60.5 GiB of RAM
  • ●More than 1.89 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 32 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●Memory-hungry applications. A memory-optimized family gives more RAM per dollar.
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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