www.design-reuse-embedded.com
Search Solutions  
OK
19 "AI Processors" Solutions

1
AI-Capable 3D GPU
Vivante AI-GPU augments the stunning 3D graphics rendering capabilities of the Vivante 3D engines with a dedicated Neural Network Engine (NN) and Tensor Processing Fabric to support advanced capabili...

2
Arm Ethos-N57 NPU
ML Inference Processor with Balanced Efficiency and Performance

3
CEVA-BX1 Multipurpose DSP/Controller
The CEVA-BX architecture delivers excellent all-round performance for a new generation of smart devices by providing the perfect alternative for special purpose DSPs and MCUs with DSP co-processors that cannot handle the diverse algorithm needs of today s applications.

4
CEVA-BX2 Multipurpose DSP/Controller
CEVA-BX2 is a multipurpose hybrid DSP and Controller, designed for the inherent low power requirements of DSP kernels with high-level programming and compact code size requirements of a large control code base.

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.

6
Ethos-U55 Embedded ML Inference for Cortex-M Systems
Unlock the Benefits of AI with this Best-in-Class Solution

7
InferX X1 Edge Inference Co-Processor
The InferX X1 Edge Inference Co-Processor is optimized for what the edge needs: large models and large models at batch=1.

8
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, smartphones, surveillance, automotive, robotics, medical and industrial.

9
Neural Network Processor for Intelligent Vision, Voice, Natural Language Processing
Efficient and Versatile Computer Vision, Image, Voice, Natural Language, Neural Network Processor

10
NMAX512 : Neural Inferencing Tile for 1 to >100 TOPS
NMAX has a unique new architecture that loads weights rapidly compared to existing solutions.

11
nnMAX 1K AI Inference IP for 2 to >100 TOPS at low power, low die area
nnMAX 1K AI Inference IP for 2 to >100 TOPS at low power, low die area

12
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...


13
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...

14
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'...


15
Artificial Intelligence Cores
The most flexible solution on the market, by giving the user the ability to select the best combination of performance, power and cost.

16
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.

17
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 traditional devices.

18
Speedster7t FPGAs
Speedster®7t FPGAs are optimized for high-bandwidth workloads and eliminate the performance bottlenecks associated with traditional FPGAs.

19
Tensilica DNA Processor Family for On-Device AI
Built for AI processing with industry-leading performance and power efficiency
Enabling On-Device AI Across a Wide Range of Inference from 0.5 to 100s of TMACs

 Back

Partner with us

List your Products

Suppliers, list and add your products for free.

More about D&R Privacy Policy

© 2021 Design And Reuse

All Rights Reserved.

No portion of this site may be copied, retransmitted, reposted, duplicated or otherwise used without the express written permission of Design And Reuse.