Processor IP
Welcome to the ultimate Processor IP hub!
Our vast directory of Processor IP cores include AI Processor IP, GPU IP, NPU IP, DSP IP, Arm Processor, RISC-V Processor and much more.
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Embedded AI accelerator IP
- The GenAI IP is the smallest version of our NPU, tailored to small devices such as FPGAs and Adaptive SoCs, where the maximum Frequency is limited (<=250 MHz) and Memory Bandwidth is lower (<=100 GB/s).
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NPU IP for AI Vision and AI Voice
- 128-bit vector processing unit (shader + ext)
- OpenCL 3.0 shader instruction set
- Enhanced vision instruction set (EVIS)
- INT 8/16/32b, Float 16/32b
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NPU IP for Wearable and IoT Market
- ML inference engine for deeply embedded system
NN Engine
Supports popular ML frameworks
Support wide range of NN algorithms and flexible in layer ordering
- ML inference engine for deeply embedded system
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NPU IP for Data Center and Automotive
- 128-bit vector processing unit (shader + ext)
- OpenCL 1.2 shader instruction set
- Enhanced vision instruction set (EVIS)
- INT 8/16/32b, Float 16/32b in PPU
- Convolution layers
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Gen#2 of 64-bit RISC-V core with out-of-order pipeline based complex
- Gen#2 of 64-bit RISC-V core with out-of-order pipeline based complex. Designed for a range of applications requiring maximum single thread performance in Linux-capable devices. Improved performance compared with Gen#1.
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64-bit RISC-V core with in-order single issue pipeline. Tiny Linux-capable processor for IoT applications.
- 64-bit RISC-V core with in-order single issue pipeline based complex.
- Tiny Linux-capable processor optimized for low power and small area.
- Ideally fits IoT applications requiring Linux.
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LLM AI IP Core
- For sophisticated workloads, DeepTransformCore is optimized for language and vision applications.
- Supporting both encoder and decoder transformer architectures with flexible DRAM configurations and FPGA compatibility, DeepTransformCore eliminates complex software integration burdens, empowering customers to rapidly develop custom AI SoC (System-on-chip) designs with unprecedented efficiency.
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CNN AI IP Core
- DeepMentor has developed an AI IP that combines low-power and high-performance features with the RISC-V SOC.
- This integration allows customers to quickly create unique AI SOC without worrying about software integration or system development issues.
- DeepLogCore supports both RISC-V and ARM systems, enabling faster and more flexible development.
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Vector-Capable Embedded RISC-V Processor
- The EMSA5-GP is a highly-featured 32-bit RISC-V embedded processor IP core optimized for processing-demanding applications.
- It is equipped with floating-point and vector-processing units, cache memories, and is suitable for concurrent execution in a multi-processor environment.
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Compact Embedded RISC-V Processor
- The BA5x-CM is a feature-rich 32-bit deeply embedded processor.
- Equipped with a floating-point unit and an instruction cache memory and supporting concurrent execution in a multiprocessor environment, it is well-suited to a wide range of edge IoT and similar applications.