Overview
Vision DSPs for Imaging, Computer Vision, Radar, Lidar, and AI
The Cadence Tensilica Vision 341 DSP is a 1024-bit SIMD DSP offering a single DSP for vision, radar, lidar, and AI. To address the increasing computational requirements for embedded vision, radar, lidar, and AI applications, the 1024-bit Vision 341 DSP provides up to 6X greater FFT performance compared to the Vision 230 DSP, and due to the single DSP with support for both vision and radar, it also offers tremendous area, power, and cost saving.


Key Benefits
Area and Power Optimized
1024-bit SIMD with higher energy efficiency compared to CPU/GPU single DSP for vision/radar/lidar/AI eliminates need for additional DSPs
Vision / Image / Radar / Lidar / AI Processing
Instructions set optimized for computer vision, image, radar, lidar, and AI processing applications
High Performance
1024-bit SIMD offers the highest performance among the Vision DSP family and >2TOPS AI performance for object detection, image classification, and image segmentation
Features
Single Vision DSPs for Imaging, Computer Vision, Radar, Lidar, and AI
Partners
Cadence, through its Tensilica processor IP, brings together best-in-class products and services from industry leaders to help you accelerate the development of your SoC designs while meeting your demanding power and performance requirements. Browse the list of Tensilica processor IP service partners below.
Technologies
Functional Safety for Automotive
Cadence is committed to enabling Functional Safety applications across the Tensilica processor lineup, whether it's an off-the-shelf processor/DSP IP or a custom domain-specific processor for a specific application
Learn MoreTensilica Processor Technology
Differentiate, reduce time to market, add flexibility, and get the best performance, power, and area
Learn MoreTIE
Customize your DSPs/processors for optimized performance, energy efficiency, and differentiation
Learn MoreDevelopment Toolchain
Create a perfect match for your application, guaranteed correct by construction
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