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Compare 91 IP from 30 vendors (1 - 10)
  • Ultra low power inference engine
    • Neuromorphic processor
    • Sub milliwatt power
    • Ultra-low power AI processing
    Block Diagram -- Ultra low power inference engine
  • Neural Video Processor IP
    • The NVP300, AI-based Neural Video Processing IP push video quality to the next level by leveraging the advanced features and benefits of AI based video processing technologies.
    • The NVP300 IP features an optimized hardware implementation to deliver real-time AI processing of 4K video whithin best-in-class silicon area and power budget suitable for embedded products.
  • Neural network processor designed for edge devices
    • High energy efficiency
    • Support mainstream deep learning frameworks
    • Low power consumption
    • An integrated AI solution
  • All-analog Neural Signal Processor
    • Analog AI Innovation: Blumind AMPL™ is a disruptive analog AI compute fabric for micropower artificial intelligence applications.
    • Precision and Accuracy: Blumind all-analog AI compute delivers deterministic and precise inferencing performance at up to x1000 lower power than our competitors. Delivering higher efficiency and the longest battery life for always-on applications.
    • Low Latency Solutions: AMPL™ fabric delivers efficient low latency for real-time applications.
    • Analog Breakthrough: AMPL™ is the first all-analog AI on advanced standard CMOS architected to fundamentally mitigate process, voltage, temperature and drift variations.
  • GPNPU Processor IP - 32 to 864TOPs
    • 32 to 864TOPs
    • (Dual, Quad, Octo Core) Up to 256K MACs
    • Hybrid Von Neuman + 2D SIMD matrix architecture
    • 64b Instruction word, single instruction issue per clock
    • 7-stage, in-order pipeline
    • Scalar / vector / matrix instructions modelessly intermixed with granular predication
    Block Diagram -- GPNPU Processor IP - 32 to 864TOPs
  • GPNPU Processor IP - 16 to 108 TOPs
    • 16 to 108 TOPs
    • 8K / 16K / 32K MACs plus 1024 ALUs
    Block Diagram -- GPNPU Processor IP - 16 to 108 TOPs
  • GPNPU Processor IP - 4 to 28 TOPs
    • 4 to 28 TOPs
    • 2K/ 4K/ 8K MACs plus 256 ALUs
    Block Diagram -- GPNPU Processor IP - 4 to 28 TOPs
  • Neuromorphic Processor IP (Second Generation)
    • Supports 8-, 4-, and 1-bit weights and activations
    • Programmable Activation Functions
    • Skip Connections
    • Support for Spatio-Temporal and Temporal Event-Based Neural Network
    Block Diagram -- Neuromorphic Processor IP (Second Generation)
  • 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
  • Enhanced Neural Processing Unit providing 8,192 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 8,192 MACs/cycle of performance for AI applications
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