Instances›AWS EC2›c7i-flex›c7i-flex.8xlarge
Compute
vCPUs32
Memory64 GiB
Mem / vCPU2.00 GiB
ProcessorXeon Scalable
Clock speed3.2 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
c7i-flex.large2 vCPU · 4 GiB
c7i-flex.xlarge4 vCPU · 8 GiB
c7i-flex.2xlarge8 vCPU · 16 GiB
c7i-flex.4xlarge16 vCPU · 32 GiB
c7i-flex.8xlarge32 vCPU · 64 GiB
c7i-flex.12xlarge48 vCPU · 96 GiB
c7i-flex.16xlarge64 vCPU · 128 GiB
c7i-flex.8xlarge

The c7i-flex.8xlarge pairs 32 vCPU with 64 GiB of RAM, the 2.00 GiB-per-vCPU ratio that marks a compute-optimized instance. It runs on Intel Xeon Scalable (Sapphire Rapids) at 3.2 GHz, and AWS introduced it in May 2024. Spot's node ladder tops out below this size, so c7i-flex.8xlarge becomes 2 × ch.vs1.2xlarge (32 vCPU, 64 GiB combined), about 94% below the US East (N. Virginia) on-demand rate. 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

c7i-flex.8xlarge gives you 32 vCPU and 64 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 64 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$1.357$0.488$0.897$0.597$0.082
$1.275 savings
US Central, Chicagono AWS region$0.022
US Central, Dallasno AWS region$0.222
Hong Kong$1.724$1.140$0.782$0.082
$1.642 savings
Sydney, Australia$1.772$0.780$1.170$0.805$0.082
$1.690 savings
London, UK$1.612$0.161$1.064$0.733$0.262
$1.350 savings
US West, San Jose$1.692$0.631$1.117$0.769$0.004
$1.688 savings
US Central, Dallas 2no AWS region$0.244
US East, N. Virginia 2$1.357$0.488$0.897$0.597$0.324
$1.033 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 64 GiB of RAM
  • ●Parallel work that can occupy 32 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 12.5 Gigabit
  • ●Anything that shards cleanly across 2 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●The working set needs more than 64 GiB of RAM
  • ●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.
  • ●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 32 vCPU would sit idle.
Stop overpaying AWS. This compute costs $990/mo on AWS vs $60/mo on Rackspace Spot.
  • 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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