Neural Accelerator AI Processor IP

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Compare 22 IP from 7 vendors (1 - 10)

AI Processor Accelerator
- Universal Compatibility: Supports any framework, neural network, and backbone.
- Large Input Frame Handling: Accommodates large input frames without downsizing.
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
AI Accelerator
- Independent of external controller
- Accelerates high dimensional tensors
- Highly parallel with multi-tasking or multiple data sources
- Optimized for performance / power / area
High-Performance Edge AI Accelerator
- Performance: Up to 16 TOPs
- MACs (8x8): 4K, 8K
- Data Types: 1-bit, INT8, INT16
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
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
Performance Efficiency AI Accelerator for Mobile and Edge Devices
- Performance: Up to 4 TOPs
- MACs (8x8): 512, 1K, 2K
- Data Types: 1-bit, INT8, INT16
Performance AI Accelerator for Edge Computing
- Performance: Up to 16 TOPs
- MACs (8x8): 4K, 8K
- Data Types: 1-bit, INT8, INT16
- Internal SRAM: Up to 16 MB
Lowest Cost and Power AI Accelerator for End Point Devices
- Performance: Up to 512 GOPs
- MACs (8x8): 64, 128, 256
- Data Types: 1-bit, INT8, INT16
Run-time Reconfigurable Neural Network IP
- Customizable IP Implementation: Achieve desired performance (TOPS), size, and power for target implementation and process technology
- Optimized for Generative AI: Supports popular Generative AI models including LLMs and LVMs
- Efficient AI Compute: Achieves very high AI compute utilization, resulting in exceptional energy efficiency
- Real-Time Data Streaming: Optimized for low-latency operations with batch=1