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Neural Accelerator AI Processor IP

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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.
    Block Diagram -- AI Processor Accelerator
  • Performance AI Accelerator for Edge Computing
    • Up to 16 TOPS
    • Up to 16 MB Local Memory
    • RISC-V/Arm Cortex-R or A 32-bit CPU
    • 3 x AXI4, 128b (Host, CPU & Data)
    Block Diagram -- Performance AI Accelerator for Edge Computing
  • Performance Efficiency AI Accelerator
    • Up to 6 TOPS
    • Up to 6 MB Local Memory
    • RISC-V/Arm Cortex-M or A 32-bit CPU
    • 3 x AXI4, 128b (Host, CPU & Data)
    Block Diagram -- Performance Efficiency AI Accelerator
  • Lowest Power and Cost End Point AI Accelerator
    • Up to 1 TOPS
    • Up to 1 MB Local Memory
    • RISC-V/Arm Cortex-M 32-bit CPU
    • 3 x AXI4, 128b (Host, CPU & Data)
    Block Diagram -- Lowest Power and Cost End Point AI Accelerator
  • 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
    Block Diagram -- Run-time Reconfigurable Neural Network IP
  • Neural engine IP - AI Inference for the Highest Performing Systems
    • The Origin E8 is a family of NPU IP inference cores designed for the most performance-intensive applications, including automotive and data centers.
    • With its ability to run multiple networks concurrently with zero penalty context switching, the E8 excels when high performance, low latency, and efficient processor utilization are required.
    • Unlike other IPs that rely on tiling to scale performance—introducing associated power, memory sharing, and area penalties—the E8 offers single-core performance of up to 128 TOPS, delivering the computational capability required by the most advanced LLM and ADAS implementations.
    Block Diagram -- Neural engine IP - AI Inference for the Highest Performing Systems
  • 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.
    Block Diagram -- Neural engine IP - The Cutting Edge in On-Device AI
  • Enhanced Neural Processing Unit providing 4096 MACs/cycle of performance for AI applications
    • Scalable real-time AI / neural processor IP with up to 3,500 TOPS performance
    • Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc.
    • Industry leading power efficiency (up to 30 TOPS/W)
    • One 1K MAC core or 1-24 cores of an enhanced 4K MAC/core convolution accelerator
    Block Diagram -- Enhanced Neural Processing Unit providing 4096 MACs/cycle of performance for AI applications
  • Enhanced Neural Processing Unit providing 1024 MACs/cycle of performance for AI applications
    • Scalable real-time AI / neural processor IP with up to 3,500 TOPS performance
    • Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc.
    • Industry leading power efficiency (up to 30 TOPS/W)
    • One 1K MAC core or 1-24 cores of an enhanced 4K MAC/core convolution accelerator
    Block Diagram -- Enhanced Neural Processing Unit providing 1024 MACs/cycle of performance for AI applications
  • Enhanced Neural Processing Unit providing 98,304 MACs/cycle of performance for AI applications
    • Scalable real-time AI / neural processor IP with up to 3,500 TOPS performance
    • Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc.
    • Industry leading power efficiency (up to 30 TOPS/W)
    • One 1K MAC core or 1-24 cores of an enhanced 4K MAC/core convolution accelerator
    Block Diagram -- Enhanced Neural Processing Unit providing 98,304 MACs/cycle of performance for AI applications
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