AI Boost Provides Energy-Efficient AI in a Small Footprint
The Cadence® Tensilica® NNE 110 offers an energy-efficient hardware-based AI engine that can be paired with any Tensilica based DSP. The NNE 110 targets a variety of applications including audio, voice, and speech AI, lightweight vision AI, and always-on multi-sensory applications.
The product architecture natively supports the most common network layers found in these applications including convolution, depth-wise separable convolution, fully connected, LSTM, pooling, reshaping, and concatenation layers. Other layers can be supported (and further accelerated using TIE) using the host Tensilica DSP. The NNE 110 provides performance scalability from 32 to 128 MACs for 8x8-bit MAC computation, suiting a variety of low-power AI needs. It offers unique features for AI enhancement including hardware-based sparsity for compute and bandwidth reduction as well as on the-fly weight decompression for smaller system footprints.
High MAC utilization and sparsity acceleration deliver significant energy improvements over CPUs and DSPs.
Enables Compelling Use Cases and Advanced Concurrency
Resource-intensive AI applications like advanced noise suppression and speech recognition can run concurrently with all other workload needs
Scalable IP for Various Workloads
Balance area and performance based on system and use case requirements
Small System Footprint
Compact design area and compression/decompression reduce system memory and bandwidth requirements
Fast Time to Market
Fully verified IP packages including comprehensive software solutions that leverage existing programming paradigms
Cadence is committed to keeping design teams highly productive with a range of support offerings and processes designed to keep users focused on reducing time to market and achieving silicon success.
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