Overview
Single-Core AI Acceleration Provides Best-in-Class Performance in Terms of FPS, FPS/mm2, and FPS/Watt
The Cadence® Tensilica® NNA 110 accelerator incorporates a custom hardware accelerator engine (NNE) coupled with a Tensilica Vision P6 or P1 DSP. The specialized compute block inside the NNA 110 hardware leverages features like random sparsity, tensor compression / decompression to provide an overall best in-class embedded AI accelerator solution.

Key Benefits
Scalable, Configurable Hardware Turnkey Solution
Flexibility in targeting varying use cases ranging from 0.5 to 4 TOPS
Turnkey End-to-End GLOW-Based Xtensa Neural Network Compiler (XNNC) Toolchain
Works with various model formats ranging from Tensorflow, ONNX, PyTorch, Caffe2, TensorflowLite etc.
Mixed-Precision Support in hardware and software
Supports 8-bit/16-bit quantized format with accuracy approaching Floating point model fidelity
True Sparse Compute Engine and Tensor Compression
Exploits activation/weight random sparsity and lossless compression/decompression logic
Achieves Best-in-Class KPIs in Terms of TOPS, TOPS/Watt, and TOPS/mm2
Extracts best MAC utilization for high throughput, low latency, low bandwidth, and low energy consumption workloads
Features
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