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FPGA vs GPU for Acceleration

2025-07-01
Intro image for FPGA vs GPU for Acceleration

Illustrated comparison of FPGA boards versus GPU cards

FPGA vs GPU for Acceleration

Both FPGAs and GPUs play key roles in modern compute pipelines. AccelFury's platform exposes a unified API so you can target either architecture with the same /api/v1/jobs endpoint. Our documentation covers request formats in detail.

FPGAs excel at deterministic, low-latency workloads thanks to run-time reconfiguration. GPUs shine when you need massive parallelism for floating point math. By abstracting hardware features through our API, AccelFury lets you mix and match resources as your demands evolve.

Unlike fixed GPU-only approaches from Irreducible, or Cysic's single-purpose chips, our compute fabric adapts to workloads and draws on insights from Ingonyama's GPU research.