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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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.
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High performance-efficient deep learning accelerator for edge and end-point inference
- Configurable MACs from 32 to 4096 (INT8)
- Maximum performance 8 TOPS at 1GHz
- Configurable local memory: 16KB to 4MB
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Neuromorphic Processor IP (Second Generation)
- Supports 8-, 4-, and 1-bit weights and activations
- Programmable Activation Functions
- Skip Connections
- Support for Spatio-Temporal and Temporal Event-Based Neural Network
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Neuromorphic Processor IP
- Supports 4-, 2-, and 1-bit weights and activations
- Supports multiple layers simultaneously
- Convolutional Neural Processor (CNP) and
- Fully-connected Neural Processor (FNP)
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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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High-Performance NPU
- The ZIA™ A3000 AI processor IP is a low-power processor specifically designed for edge-side neural network inference processing.
- This versatile AI processor offers general-purpose DNN acceleration, empowering customers with the flexibility and configurability to optimize performance for their specific PPA targets.
- A3000 also supports high-precision inference, reducing CPU workload and memory bandwidth.
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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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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.
