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27 "Artificial Intelligence Processor IP->AI Processor IP" IP

1
ARC NPX6 NPU for Neural Processing
Synopsys ARC® NPX Neural Processor IP family provides a high-performance, power- and area-efficient IP solution for a range of applications requiring AI-enabled SoCs. The ARC NPX6 NPU IP is designed f...

2
ARC NPX6FS Neural Processors for Functional Safety
The ASIL B or D Ready Synopsys ARC NPX6FS NPUs enable automotive system-on-chip (SoC) designers to accelerate ISO 26262 certification of Advanced Driver Assistance Systems (ADAS) and autonomous vehicl...

3
Arm Ethos-N57 NPU
ML Inference Processor with Balanced Efficiency and Performance

Optimized for the most cost- and power-sensitive designs, Ethos-N57 delivers premium AI experiences in mainstream phones and digital ...


4
Arm Machine Learning Processor

The Arm Machine Learning processor is an optimized, ground-up design for machine learning acceleration, targeting mobile and adjacent markets. The solution consists of state-of-the-art optimized fi...


5
Cortex-M55

The Arm Cortex-M55 processor is Arm's most AI-capable Cortex-M processor and the first to feature Arm Helium vector processing technology. It brings energy-efficient digital signal processing (...


6
Cortex-M85
A New Milestone for High-Performance Microcontrollers Arm Cortex-M85 is the highest performing Cortex-M processor with Arm Helium technology and provides the natural upgrade path for Cortex-M based a...

7
Ethos-N78

Highly Scalable and Efficient Second-Generation ML Inference Processor

Build premium AI solutions at low cost in multiple market segments

Arm's second-generation, highly scalable an...


8
Ethos-U65

AI Innovation for Edge and Endpoint Devices

Build low cost, highly efficient AI solutions in a wide range of embedded devices with Arm's latest addition to the Ethos-U microNPU family. Th...


9
Neo NPU - Scalable and Power-Efficient Neural Processing Units
Highly scalable performance for classic and generative on-device and edge AI solutions The Cadence Neo NPUs offer energy-efficient hardware-based AI engines that can be paired with any host processor...

10
CEVA NeuPro-M- NPU IP family for generative and classic AI with highest power efficiency, scalable and future proof
NeuPro-M redefines high-performance AI (Artificial Intelligence) processing for smart edge devices and edge compute with heterogeneous coprocessing, targeting generative and classic AI inferencing wor...

11
CMNP - Chips&Media Neural Processor
Chips&Media s CMNP, the new Neural Processing Unit (NPU) product, competes for high-performance neural processing-based IP for edge devices. CMNP provides exceptionally enhanced image quality based on...

12
NeuPro Family of AI Processors

Dedicated low power AI processor family for Deep Learning at the edge. Providing a self-contained, specialized AI processors, scaling in performance for a broad range of end markets including IoT, ...


13
4-/8-bit mixed-precision NPU IP
OPENEDGES, the world's only total memory system, and AI platform IP solution company, releases the first commercial mixed-precision (4-/8-bit) computation NPU IP, ENLIGHT. When ENLIGHT is used with ot...

14
memBrain

As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform Artificial Intelligence (AI) functi...


15
Akida Neuromorphic IP
The Akida Neuromorphic IP offers unsurpassed performance on a performance-per-watt basis. The flexible Neural Processing Cores (NPCs) which form the Akida Neuron Fabric can be configured to perform co...

16
General Purpose Neural Processing Unit
Designed from the ground up to address significant machine learning (ML) inference deployment challenges facing system on chip (SoC) developers, Quadrics General Purpose Neural Processing Unit (GPNPU)...

17
nearbAI - IP cores for ultra-low power AI-enabled devices
Each nearbAI core is an ultra-low power neural processing unit (NPU) and comes with an optimizer / neural network compiler. It provides immediate visual and spatial feedback based on sensory inputs...

18
Ultra Low Power Edge AI Processor
DMP AI processor IP, ZIA™ DV740, is the ultra low power consumption processor IP for Deep Learning on edge side specialized on inference processing. ZIA™ DV740 enables inference processing on multiple...

19
v-MP6000UDX processor
Deep learning has quickly become a must-have technology to bring new smart sensing and intelligent analysis capabilities to all of our electronics. Whether it s self-driving cars that need to understa...

20
ZIA DV500 Series - Ultra Low Power Consumption Processor IP for Deep Learning
AI inference processor IP, which achieves smaller size and ultra-low power consumption by being optimized for object recognition and scene understanding often used in industrial equipment and automobi...

21
Artificial Intelligence Cores

The only constant in the world of AI is change. Higher processing requirements and new algorithms are introduced regularly. In this environment a solution must have high flexibility and programmabi...


22
C860 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 systems. It also utilizes a 3-issue and 8-execution deep out-of-order execu...

23
CortiCore - Neural Processing Engine
Roviero has developed a natively graph computing processor for edge inference. CortiCore architecture provides the solution via its unique instruction set that dramatically reduces the compiler comple...

24
Jotunn - Generative AI Platform

The "Memory Wall" was first conceived as a theory by Wulf and McKee in 1994. It posited that the development of the processing unit (CPU) far outpaced that of the memory. As a result the ...


25
POLYN PPG NASP IP Block

POLYN PPGis a Neuromorphic Analog Signal Processor (NASP) with Direct Analog Input (DAI) for real time edge pulse determination at a fraction of the power consumed by...


26
Powerful AI processor
Highly optimized for generative AI applications running Transformer based NN models that enables highly efficient and simple system designs. Ideal companion to custom NN hardware accelerators using hi...

27
Spiking Neural Processor

Innatera's ultra-efficient neuromorphic processors mimic the brain's mechanisms for processing sensory data. Based on a proprietary analog-mixed signal computing architecture, Innatera'...


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