F2 Accelerated Computing
⚡ GPU AcceleratedHardware accelerators (GPUs, FPGAs) for specialized compute.
Name:
fFPGA Accelerated Computingf = FPGA Accelerated ComputingFeatures Field Programmable Gate Arrays (FPGAs) to accelerate custom hardware algorithms, video processing, and financial analytics.22nd Generation2 = 2nd GenerationAWS 2nd generation hardware platform with updated CPU/system architecture.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (3)
With a 3-year Compute Savings Plan (No Upfront), f2 sizes on Linux in US East (N. Virginia) (us-east-1) cost 46% less than the on-demand rate. Each size's page has the rates in every region. How Savings Plans are applied.
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| f2.6xlarge | 24 | 256 GB | — | — | — | x86_64 | $1.9800 |
| f2.12xlarge | 48 | 512 GB | — | — | — | x86_64 | $3.9600 |
| f2.48xlarge | 192 | 2,048 GB | — | — | — | x86_64 | $15.8400 |