neural processor IP
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97
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from 28 vendors
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Ultra low power inference engine
- Neuromorphic processor
- Sub milliwatt power
- Ultra-low power AI processing
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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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Neural Network Processor IP
- TOPS (INT8) @1G: 12~18
- GFLOPS (32-bit)@1G:64
- GFLOPS (16-bit)@1G:256
- GOPS (32-bit)@1G:64
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Neural Network Processor IP
- TOPS (INT8) @1G: 6~9
- GFLOPS (32-bit)@1G:64
- GFLOPS (16-bit)@1G:256
- GOPS (32-bit)@1G:64
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Neural Network Processor IP
- TOPS (INT8) @1G: 1.5~2.3
- GFLOPS (32-bit)@1G:64
- GFLOPS (16-bit)@1G:256
- GOPS (32-bit)@1G:64
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Neural Network Processor IP
- TOPS (INT8) @1G: 12~18
- GFLOPS (32-bit)@1G:32
- GFLOPS (16-bit)@1G:128
- GOPS (32-bit)@1G:32
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Neural Network Processor IP
- TOPS (INT8) @1G: 6~9
- GFLOPS (32-bit)@1G:32
- GFLOPS (16-bit)@1G:128
- GOPS (32-bit)@1G:32
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Neural Network Processor IP
- TOPS (INT8) @1G: 3~4.5
- GFLOPS (32-bit)@1G:32
- GFLOPS (16-bit)@1G:128
- GOPS (32-bit)@1G:32
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Neural Network Processor IP
- TOPS (INT8) @1G: 1.5~2.3
- GFLOPS (32-bit)@1G:32
- GFLOPS (16-bit)@1G:128
- GOPS (32-bit)@1G:32
-
Neural Network Processor IP
- TOPS (INT8) @1G: 12~18
- GFLOPS (32-bit)@1G:16
- GFLOPS (16-bit)@1G:64
- GOPS (32-bit)@1G:16