AI Inference Processor IP

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Compare 21 IP from 13 vendors (1 - 10)

AI inference processor IP
- High Performance, Low Power Consumption, Small Foot Print IP for Deep Learning inference processing.
Highly Scalable and Efficient Second-Generation ML Inference Processor
- Increased Performance
- Improved Efficiency
- Extended Configurability
High-Efficiency, Low-Area ML Inference Processor
- High Efficiency
- Lowest Area
- Optimized Design
- Futureproof
ML Inference Processor with Balanced Efficiency and Performance
- Balanced Performance
- Optimized Design
- High Efficiency
Low-power high-speed reconfigurable processor to accelerate AI everywhere.
- Multi-Core Number: 4
- Performance (INT8, 600MHz): 0.6TOPS
- Achievable Clock Speed (MHz): 600 (28nm)
- Synthesis Logic Gates (MGates): 2
AI Accelerator
- Independent of external controller
- Accelerates high dimensional tensors
- Highly parallel with multi-tasking or multiple data sources
- Optimized for performance / power / area
Ultra low power inference engine
- Neuromorphic processor
- Sub milliwatt power
- Ultra-low power AI processing
Highly scalable inference NPU IP for next-gen AI applications
- ENLIGHT Pro is meticulously engineered to deliver enhanced flexibility, scalability, and configurability, enhancing overall efficiency in a compact footprint.
- ENLIGHT Pro supports the transformer model, a key requirement in modern AI applications, particularly Large Language Models (LLMs). LLMs are instrumental in tasks such as text recognition and generation, trained using deep learning techniques on extensive datasets.
Super low-power and high accuracy AI processing engine for Wake Word, Voice Commands, Acoustic Event Detection, Speaker ID and Sensors
- Voice control and Context detection
- High Accuracy in Noisy Conditions
AI Accelerator: Neural Network-specific Optimized 1 TOPS
- Performance efficient 18 TOPS/Watt
- Capable of processing real-time HD video and images on-chip
- Advanced activation memory management