LiDAR Receiver IP
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23
IP
from 7 vendors
(1
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10)
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MASS Solution Verification IP
- Support full functionality of APHY as a physical layer
- Support Different PAL for multiple adaption layers for A-pkt conversion
- Support CSI2, DSI2, I2C, GPIO,eDP/DP, and SPI as Protocols later
- For Functional safety, CSE & DSE are supported
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Enhanced Neural Processing Unit for safety providing 98,304 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 8,192 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 65,536 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 4096 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 24,576 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 16,384 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 12,288 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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512-bit Vector DSP IP, Single Core with Functional Safety
- Integrated hardware safety features with minimal area and power impact for full ASIL compliance (ASIL D systematic, up to ASIL C random)
- Four-way VLIW architecture combining scalar and vector operations
- 128-bit, 256-bit and 512-bit vector lengths
- 8, 16, and 32-bit integer SIMD engines
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512-bit Vector DSP IP, Quad Core with Functional Safety
- Integrated hardware safety features with minimal area and power impact for full ASIL compliance (ASIL D systematic, up to ASIL C random)
- Four-way VLIW architecture combining scalar and vector operations
- 128-bit, 256-bit and 512-bit vector lengths
- 8, 16, and 32-bit integer SIMD engines
