Edge AI Processor IP
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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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AI Processor Accelerator
- Universal Compatibility: Supports any framework, neural network, and backbone.
- Large Input Frame Handling: Accommodates large input frames without downsizing.
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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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Highly scalable performance for classic and generative on-device and edge AI solutions
- Flexible System Integration: The Neo NPUs can be integrated with any host processor to offload the AI portions of the application
- Scalable Design and Configurability: The Neo NPUs support up to 80 TOPS with a single-core and are architected to enable multi-core solutions of 100s of TOPS
- Efficient in Mapping State-of-the-Art AI/ML Workloads: Best-in-class performance for inferences per second with low latency and high throughput, optimized for achieving high performance within a low-energy profile for classic and generative AI
- Industry-Leading Performance and Power Efficiency: High Inferences per second per area (IPS/mm2 and per power (IPS/W)
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High-performance 32-bit multi-core processor with AI acceleration engine
- Instruction set: T-Head ISA (32-bit/16-bit variable-length instruction set);
- Multi-core: Isomorphic multi-core, with 1 to 4 optional cores;
- Pipeline: 12-stage;
- Microarchitecture: Tri-issue, deep out-of-order;
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AI inference processor IP
- High Performance, Low Power Consumption, Small Foot Print IP for Deep Learning inference processing.
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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
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Neural engine IP - The Cutting Edge in On-Device AI
- The Origin E6 is a versatile NPU that is customized to match the needs of next-generation smartphones, automobiles, AV/VR, and consumer devices.
- With support for video, audio, and text-based AI networks, including standard, custom, and proprietary networks, the E6 is the ideal hardware/software co-designed platform for chip architects and AI developers.
- It offers broad native support for current and emerging AI models, and achieves ultra-efficient workload scheduling and memory management, with up to 90% processor utilization—avoiding dark silicon waste.
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Neural network processor designed for edge devices
- High energy efficiency
- Support mainstream deep learning frameworks
- Low power consumption
- An integrated AI solution
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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