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AI Processor IP Cores

AI Processor IP cores provide high-performance processing power for AI algorithms, enabling real-time data analysis, pattern recognition, and decision-making. Supporting popular AI frameworks, AI Processor IP cores are ideal for applications in edge computing, autonomous vehicles, robotics, and smart devices.

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Compare 76 AI Processor IP Cores from 38 vendors (1 - 10)
  • Multi-core capable 64-bit RISC-V CPU with vector extensions
    • The SiFive® Intelligence™ X180 core IP products are designed to meet the increasing requirements of embedded IoT and AI at the far edge.
    • With this 64-bit version, X100 series IP delivers higher performance and better integration with larger memory systems.
    Block Diagram -- Multi-core capable 64-bit RISC-V CPU with vector extensions
  • Multi-core capable 32-bit RISC-V CPU with vector extensions
    • The SiFive® Intelligence™ X160 core IP products are designed to meet the increasing requirements of embedded IoT and AI at the far edge.
    • With this 32-bit version, X100 series IP can be optimized for power efficiency and severely area-constrained applications.
    Block Diagram -- Multi-core capable 32-bit RISC-V CPU with vector extensions
  • Multi-core capable RISC-V processor with vector extensions
    • The SiFive® Intelligence™ X280 Gen 2 is an 8-stage dual issue, in-order, superscalar design with wide vector processing (512 bit VLEN/256-bit DLEN).
    • It supports RISC-V Vectors v1.0 (RVV 1.0) and SiFive Intelligence Extensions to accelerate critical AI/ML operations.
    Block Diagram -- Multi-core capable RISC-V processor with vector extensions
  • Multi-core capable processor
    • The SiFive® Intelligence™ X288 is a multi-core capable processor extensively optimized to meet the harsh environmental and stringent reliability requirements of aerospace and defense applications.
    • The X288 features the powerful combination of a RISC-V 64-bit 8-stage dual-issue in-order scalar pipeline and a 512-bit vector length pipeline.
    Block Diagram -- Multi-core capable processor
  • Neuromorphic Processor IP
    • In-Memory Compute: Efficient analog MACs for AI workloads
    • Compact Footprint: 0.28 mm² including peripheral circuitry
    • Wishbone Interface: Easy integration with standard digital buses
    • Ready for Tapeout: Fully synthesized and foundry-compatible
    Block Diagram -- Neuromorphic Processor IP
  • Lowest Power and Cost End Point AI Accelerator
    • Up to 1 TOPS
    • Up to 1 MB Local Memory
    • RISC-V/Arm Cortex-M 32-bit CPU
    • 3 x AXI4, 128b (Host, CPU & Data)
    Block Diagram -- Lowest Power and Cost End Point AI Accelerator
  • Performance AI Accelerator for Edge Computing
    • Up to 16 TOPS
    • Up to 16 MB Local Memory
    • RISC-V/Arm Cortex-R or A 32-bit CPU
    • 3 x AXI4, 128b (Host, CPU & Data)
    Block Diagram -- Performance AI Accelerator for Edge Computing
  • Performance Efficiency AI Accelerator
    • Up to 6 TOPS
    • Up to 6 MB Local Memory
    • RISC-V/Arm Cortex-M or A 32-bit CPU
    • 3 x AXI4, 128b (Host, CPU & Data)
    Block Diagram -- Performance Efficiency AI Accelerator
  • AI/ML Accelerator
    • General purpose RISC-V core (RV32IMC)
    • Standard communication peripherals: UART, I2C, SPI (x2), Octo-SPI, DCMI, I2S
    • JTAG debugging interface
    • Up to 4 MB of on-chip SRAM + 0.5MB of MRAM
    • Multi neural network execution
    Block Diagram -- AI/ML Accelerator
  • RISC-V AI Acceleration Platform - Scalable, standards-aligned soft chiplet IP
    • Built on RISC-V and delivered as soft chiplet IP, the Veyron E2X provides scalable, standards-based AI acceleration that customers can integrate and customize freely.
    Block Diagram -- RISC-V AI Acceleration Platform - Scalable, standards-aligned soft chiplet IP
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