AI Processor IP Cores
Welcome to the ultimate AI Processor IP hub! Explore our vast directory of AI Processor IP Cores
AI Processor IP Cores are a special-purpose processing unit used in computer system employed for artificial intelligence and machine learning tasks.
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AI Processor IP Cores
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90
AI Processor IP Cores
from 36 vendors
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RISC-V-based AI IP development for enhanced training and inference
- RISC-V-based AI IP development for enhanced training and inference.
- Silicon-proven solutions tailored for AI workload optimization.
- Energy-efficient performance with industry-leading Perf/W.
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IP cores for ultra-low power AI-enabled devices
- Ultra-fast Response Time
- Zero-latency Switching
- Low Power
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Ultra Low Power AI core
- Ultra-low power standalone NPU core (<1mW)
- Support power islands for minimal standby power
- Industry-standard development environment
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Neuromorphic Processor
- Neural Processing Unit (NPU) at memory compute architecture implementing Integrate and fire neuron.
- Emulate multiple neurons with configurable Synapses.
- Compute only when events occur.
- Up-to 4 bits for weights and activation.
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Complete Neural Processor for Edge AI
- Designed for Low-Power Neural Network Processing
- Flexible Training Methods
- Scalable Neuron Fabric
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DL-based Video Super Resolution Hardware IP
- Streaming video accounts for more than 80% of internet traffic, and over 90% of content is streamed in FHD or lower resolutions from a variety of services such as OTT and cloud gaming.
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RISC-V Tensor Unit
- Ultra-Fast AI
- 64-bit Core Integration
- Vector Unit and Gazzillion Integration
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High-Performance Edge AI Accelerator
- Performance: Up to 16 TOPs
- MACs (8x8): 4K, 8K
- Data Types: 1-bit, INT8, INT16
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Performance Efficiency Leading AI Accelerator for Mobile and Edge Devices
- Performance: Up to 4 TOPs
- MACs (8x8): 512, 1K, 2K
- Data Types: 1-bit, INT8, INT16
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Deeply Embedded AI Accelerator for Microcontrollers and End-Point IoT Devices
- Performance: Up to 1 TOPs
- MACs (8x8): 64, 128, 256, 512
- Data Types: 1-bit, INT8, INT16
