Explore FPGA and SoC Solutions
PolarFire® Mid-Range FPGAs
- Cost-optimized, lowest power in their class
- 250 Mbps to 12.7 Gbps transceivers
- 100K to 500K LEs, up to 33 MB RAM
- Best-in-class security and exceptional reliability
PolarFire SoC FPGAs
- Deterministic, coherent 64-bit multi-core RISC-V CPU
- 25K to 460K LEs featuring 12.7 Gbps transceivers
- Up to 50% lower power than alternatives
- Integrated DDR3/4, LPDDR3/4 controller and PHY
RT PolarFire Radiation-Tolerant FPGAs
- Immune to configuration upsets
- 50% lower power than SRAM FPGAs
- 250 Mbps to 10 Gbps transceivers
PolarFire 2 FPGA Early Access Program Is Underway
The PolarFire 2 FPGA family is set to redefine performance and power efficiency by pushing FPGA and SoC boundaries with advanced RISC-V-based high-performance compute elements that deliver 15× more compute capability. As development progresses, select customers are already engaging with the architecture through our Early Access Program and providing valuable insights as we refine this next-generation platform. Stay tuned as we move closer to full availability and continue expanding the possibilities of FPGA- and SoC-based computing. Prepare for the next leap in FPGA innovation and register to receive updates about PolarFire 2 FPGAs.
PolarFire FPGA Ethernet Sensor Bridge Delivers High-Performance Sensor Connectivity
The PolarFire FPGA Ethernet Sensor Bridge enables seamless, low-power, high-bandwidth sensor-to-network connectivity for AI-driven edge applications. Supporting MIPI® CSI-2®, CoaXPress®, SLVS-EC™, SDI and JESD204B, the PolarFire FPGA Ethernet Sensor Bridge converts sensor data into 10G Ethernet streams for real-time processing. Built on PolarFire FPGAs, the Ethernet Sensor Bridge delivers rugged reliability, embedded security and low power consumption for medical imaging, industrial automation, smart vision and autonomous applications.
PolarFire SoC FPGAs Achieve AEC-Q100 Automotive Qualification
PolarFire SoC FPGAs achieving AEC-Q100 qualification for automotive applications is like equipping a high-performance race car with a hybrid engine that combines the power of multiple RISC-V cores with a lightweight, ultra-efficient FPGA turbocharger. This combination not only accelerates innovation in advanced applications like video processing, ADAS and LiDAR but also delivers rapid adaptability for a fast time to market while keeping energy consumption in check.
