Neural engine IP - AI Inference for the Highest Performing Systems
From data centers to autonomous cars, the most demanding AI applications need high-performance NPUs with the lowest possible late…
Neural engine IP - The Cutting Edge in On-Device AI
With support for the latest generative AI models and traditional RNN, CNN, and LSTM models, the Origin™ E6 NPUs scale from 16 to …
Neural engine IP - Balanced Performance for AI Inference
On-device AI is a must-have for many new designs.
Neural engine IP - Tiny and Mighty
Small, low-power dedicated AI engines are essential for home appliances, security cameras, and always-on smartphone features.
Scalable Edge NPU IP for Generative AI
Ceva-NeuPro-M is a scalable NPU architecture, ideal for transformers, Vision Transformers (ViT), and generative AI applications, …
The Cadence® Tensilica® NNE 110 offers an energy-efficient hardware-based AI engine that can be paired with a Tensilica based DSP.
Roviero has developed a natively graph computing processor for edge inference.
NPU IP for Data Center and Automotive
The VIP9400 processing family offers programmable, scalable and extendable solutions for markets that demand real time and AI dev…
NPU IP for Wearable and IoT Market
The VIP9000Pico family offers low power, programmable, scalable and extendable solutions for markets that demand low power AI dev…
NPU IP for AI Vision and AI Voice
The VIP9000 family offers programmable, scalable and extendable solutions for markets that demand real time and low power AI devi…
Vivante AI-GPU augments the stunning 3D graphics rendering capabilities of the Vivante 3D engines with a dedicated Neural Network…
Viviante AI-GPU augments the stunning 3D graphics rendering capabilities of the Vivante 3D engines with a dedicated Neural Networ…
Viviante AI-GPU augments the stunning 3D graphics rendering capabilities of the Vivante 3D engines with a dedicated Neural Networ…
DPU for Convolutional Neural Network
The Xilinx® Deep Learning Processor Unit (DPU) is a programmable engine dedicated for convolutional neural network.
RISC-V-Based, Open Source AI Accelerator for the Edge
Coral NPU is a machine learning (ML) accelerator core designed for energy-efficient AI at the edge.
High-performance 32-bit multi-core processor with AI acceleration engine
C860 utilizes a 12-stage superscalar pipeline, with a standard memory management unit, and can run Linux and other operating syst…
High-performance 64-bit RISC-V architecture multi-core processor with AI vector acceleration engine
C910 utilizes a 12-stage superscalar pipeline, is compatible with RISC-V architecture, and is enhanced for arithmetic operations,…
Highly scalable inference NPU IP for next-gen AI applications
The inference neural processing unit (NPU) IP is suitable for high-performance edge devices including automotive, cameras, and mo…
4-/8-bit mixed-precision NPU IP
Features a optimized network model compiler that reduces DRAM traffic from intermediate activation data by grouped layer partitio…
Highly scalable performance for classic and generative on-device and edge AI solutions
Scalable and Power-Efficient Neural Processing Units The Neo NPUs offer energy-efficient hardware-based AI engines that can be pa…