# Field Programmable Gate Array (Edge AI Glossary)

## metadata
- term: Field Programmable Gate Array
- slug: field-programmable-gate-array
- letter: F
- route: /resources/glossary/field-programmable-gate-array
- canonical: https://klyff.com/resources/glossary/field-programmable-gate-array

## Definition & Context
A Field Programmable Gate Array (FPGA) is a reconfigurable semiconductor device that allows developers to customize hardware functions after manufacturing. In Edge AI, FPGAs...

## Details
## Field Programmable Gate Array (FPGA)

#### What is Field Programmable Gate Array?

A Field Programmable Gate Array (FPGA) is a reconfigurable semiconductor device that allows developers to customize hardware functions after manufacturing. In Edge AI, FPGAs enable low-latency, high-efficiency AI inference directly on devices, making them ideal for processing data closer to the source.

#### Why Is It Used?

FPGAs are used in Edge AI systems to handle real-time data processing with minimal power consumption. Their adaptability allows engineers to fine-tune hardware logic for specific machine learning tasks, ensuring faster execution and reduced dependency on centralized cloud servers.

#### How Is It Used?

In Edge AI deployments, FPGAs accelerate neural network inference, sensor fusion, and video analytics. By offloading compute-intensive workloads from CPUs or GPUs, they deliver parallel processing performance that supports autonomous machines, IoT sensors, and smart surveillance at the edge.

#### Types of Field Programmable Gate Array

 
- **Static FPGAs**: Configured once for fixed logic functions.
- **Dynamic/Partial Reconfiguration FPGAs**: Allow specific regions to be reprogrammed without halting operations.
- **SoC FPGAs**: Combine CPU cores and FPGA fabric for hybrid processing. 

#### Benefits of Field Programmable Gate Array

 
- **Ultra-low latency** for AI inference at the edge
- **Energy-efficient** alternative to GPUs
- **Hardware flexibility** for evolving AI models
- **Scalable performance** across Edge IoT devices
- **Improved data privacy** by keeping computation local