Instances›AWS EC2›f2›f2.12xlarge
Compute
vCPUs48
Memory512 GiB
Mem / vCPU10.67 GiB
ProcessorEPYC 7R13 Processor
Clock speed2.95 GHz
Architecturex86_64
Storage
Type2 × 940 GB NVMe SSD
Bandwidth15,000 Mbps
Throughput1875 MB/s
IOPS60,000
Networking
Performance25 Gigabit
Max ENIs8
IPv6Yes
GPUNone
Family sizes
f2.6xlarge24 vCPU · 256 GiB
f2.12xlarge48 vCPU · 512 GiB
f2.48xlarge192 vCPU · 2048 GiB
f2.12xlarge

The f2.12xlarge is a FPGA AWS EC2 instance: 48 vCPU and 512 GiB of memory, 10.67 GiB per vCPU. In the name, "f" is FPGA, "2" is the generation and "12xlarge" is the size within the f2 family. It runs on AMD EPYC 7R13 Processor at 2.95 GHz, and AWS introduced it in December 2024. f2 is the current generation of the f family, so there is no newer AWS size to migrate to. Rackspace Spot has no equivalent to offer: the FPGA is the product here, and Spot sells CPU and GPU capacity only. Spot's largest VM tops out at 16 vCPU and 128 GiB, and even that is not the missing piece here. The table below prices what AWS charges; the honest answer on the Spot side is that this workload stays where it is.

Match qualityNo equivalent

f2.12xlarge is FPGA hardware. That accelerator has no counterpart in the Rackspace Spot catalog, and nothing in it emulates one at a speed worth paying for — this is a genuine no-match, not a weak one.

Rackspace Spot sells x86_64 Kubernetes nodes up to 16 vCPU, plus one NVIDIA A30 GPU class. What does move is the CPU half of the pipeline built around the accelerator: ingest, pre- and post-processing, orchestration, and the serving front end. On most accelerator workloads that tier runs continuously while the accelerator itself is duty-cycled, which is where the bill actually accumulates.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$3.960$1.342
US Central, Chicagono AWS region
US Central, Dallasno AWS region
Hong Kong
Sydney, Australia$4.752
London, UK$5.148$1.020
US West, San Jose
US Central, Dallas 2no AWS region
US East, N. Virginia 2$3.960$1.342
When to use it
Good for
  • ●Custom kernels compiled to FPGA logic
  • ●Workloads where the accelerator is the product
  • ●Hardware-accelerated genomics, finance and analytics
  • ●Workloads that fit inside 512 GiB of RAM
  • ●Jobs that want 2 × 940 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 25 Gigabit
Avoid if
  • ●The working set needs more than 512 GiB of RAM
  • ●More than 10.67 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 48 vCPU would sit idle.
  • ●Anything a CPU or GPU already runs well. FPGA development is a project, not a config change.
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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