AI Processor IP
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305
IP
from 37 vendors
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10)
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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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Powerful AI processor
- SiFive Intelligence Extensions for ML workloads
- 512-bit VLEN
- Performance benchmarks
- Built on silicon-proven U7-Series core
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High-performance AI dataflow processor with scalable vector compute capabilities
- Matrix Engine
- 4 X-Cores per cluster
- 1 Cluster = 16 TOPS (INT8)
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High-performance 64-bit RISC-V architecture multi-core processor with AI vector acceleration engine
- Instruction set: RISC-V RV64GC/RV 64GCV;
- Multi-core: Isomorphic multi-core with 1 to 4 optional clusters. Each cluster can have 1 to 4 optional cores;
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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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Low-power high-speed reconfigurable processor to accelerate AI everywhere.
- Multi-Core Number: 4
- Performance (INT8, 600MHz): 0.6TOPS
- Achievable Clock Speed (MHz): 600 (28nm)
- Synthesis Logic Gates (MGates): 2
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AI Accelerator
- Independent of external controller
- Accelerates high dimensional tensors
- Highly parallel with multi-tasking or multiple data sources
- Optimized for performance / power / area
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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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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
