F1 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.11st Generation1 = 1st GenerationAWS 1st generation hardware platform with updated CPU/system architecture.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (3)
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| f1.2xlarge | 8 | 122.0 GiB | — | — | — | x86_64 | $1.6500 |
| f1.4xlarge | 16 | 244.0 GiB | — | — | — | x86_64 | $3.3000 |
| f1.16xlarge | 64 | 976.0 GiB | — | — | — | x86_64 | $13.2000 |