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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AI Processor IP Cores
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AI Processor IP Cores
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LLM Accelerator IP for Multimodal, Agentic Intelligence
- HyperThought is a cutting-edge LLM accelerator IP designed to revolutionize AI applications.
- Built for the demands of multimodal and agentic intelligence, HyperThought delivers unparalleled performance, efficiency, and security.
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AI IP Core
- The low-power and high-perFormance Al IP developed by DeepMentor integrates the SOC of RISC-V. Customers can quickly integrate a unique combination oF silicon intellectual property into an Al SOC chip.
- System manufacturers do not need to worry about the problems of Al soFtware integration and system development, and can immediately have unique AI products in the market
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High-Performance Memory Expansion IP for AI Accelerators
- Expand Effective HBM Capacity by up to 50%
- Enhance AI Accelerator Throughput
- Boost Effective HBM Bandwidth
- Integrated Address Translation and memory management:
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Neural engine IP - Tiny and Mighty
- The Origin E1 NPUs are individually customized to various neural networks commonly deployed in edge devices, including home appliances, smartphones, and security cameras.
- For products like these that require dedicated AI processing that minimizes power consumption, silicon area, and system cost, E1 cores offer the lowest power consumption and area in a 1 TOPS engine.
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Fully-coherent RISC-V Tensor Unit
- The bulk of computations in Large Language Models (LLMs) is in fully-connected layers that can be efficiently implemented as matrix multiplication.
- The Tensor Unit provides hardware specifically tailored to matrix multiplication workloads, resulting in a huge performance boost for AI without a big power consumption.
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IP library for the acceleration of edge AI/ML
- A library with a wide selection of hardware IPs for the design of modular and flexible SoCs that enable end-to-end inference on miniaturized systems.
- Available IP categories include ML accelerators, dedicated memory systems, the RISC-V based 32-bit processor core icyflex-V, and peripherals.
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Vision AI DSP
- Ceva-SensPro is a family of DSP cores architected to combine vision, Radar, and AI processing in a single architecture.
- The silicon-proven cores provide scalable performance to cover a wide range of applications that combine vision processing, Radar/LiDAR processing, and AI inferencing to interpret their surroundings. These include automotive, robotics, surveillance, AR/VR, mobile devices, and smart homes.
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Compact neural network engine offering scalable performance (32, 64, or 128 MACs) at very low energy footprints
- Best-in-Class Energy
- Enables Compelling Use Cases and Advanced Concurrency
- Scalable IP for Various Workloads
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Tensilica AI Max - NNA 110 Single Core
- Scalable Design to Adapt to Various AI Workloads
- Efficient in Mapping State-of-the-Art DL/AI Workloads
- End-to-End Software Toolchain for All Markets and Large Number of Frameworks
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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
