Сomputer vision acceleration libraries
The videantis comprehensive computer vision acceleration libraries include seamless acceleration for APIs such as OpenCV and OpenVX.
The videantis processors are the most efficient deep learning, embedded vision, and video coding processing solutions on the market. Its subsystems run all visual computing tasks on a single software-programmable and scalable processor architecture.
The unified architecture runs all visual processing tasks.
This saves power and silicon area, reduces time-to-market, and extends product life.
Easy hardware integration
videantis provides full subsystems that include a memory hierarchy, multiple processors, a bus fabric or network-on-chip, and various system interfaces. The processing subsystems are ready for integration into SoC designs with minimal design work and proven power, performance, and area results.
Single integrated software tool flow
Whether it’s deep learning, computer vision, imaging, codecs, or generic algorithm acceleration using OpenCL, all software components are developed using a single programming toolset. This reduces the development effort and bugs, and maximizes performance.
Minimize data bandwidth
Instead of moving data around between accelerators and different processor subsystems, everything is kept local in the v-MP6000UDX subsystem. This lowers bandwidth and ensures that compute engines will not be starved for data any more.
Deep learning and AI are transforming industries.
Whether it’s at the edge or in the cloud, videantis has the solution to bring deep learning into the consumer’s hands.
High performance
Whether it’s at the edge or in the cloud, videantis' processors provide the required performance.
Scalable architecture
1 to 256+ cores address ultra-low cost to high-performance applications.
Ultra-high MAC throughput
Each core computes 64MACs per cycle, resulting in a total of 16,384MACs per cycle (for 256 cores) or even more.
Enhanced memory architecture
A distributed and hierarchical memory architecture combined with a high-performance bus fabric results in ultra-high-bandwidth and low power.
Runs complete neural nets
All layers of CNNs are computed on the same programmable processor, not just the convolutional layers.
Software programmable
Smaller and lower power than hardwired solutions, yet fully software programmable; runs any neural network efficiently and is future proof.
The v-CNNDesigner tool automatically translates neural networks into parallelized and optimized multicore code for the videantis processing platform.
Runs and optimizes every CNN in minutes.
Supports TensorFlow, PyTorch, Caffe, ONNX, and more.
Supports all key networks
including ResNet, YOLO, MobileNet, VGG, and Inception.
Seamless acceleration for APIs such as OpenCV, OpenVX, or proprietary algorithms.
The videantis comprehensive computer vision acceleration libraries include seamless acceleration for APIs such as OpenCV and OpenVX.
Proprietary algorithms can be optimized using videantis' state-of-the-art toolchain with fast multicore simulator including host processor co-simulation support.
videantis offers a large set of image processing functions for offloading the host CPU.
videantis offers the most flexible, small area and low-power video coding solution on the market.
Looking to support multiple channels of high-resolution video encode and decode or upgrade to the latest standards?
Need low-delay, H.264 or JPEG, 10-/12-/14-bit codecs that run well over 100Mbps for automotive applications?
videantis’ extensive library of 15+ video and still image codecs addresses a wide variety of video coding applications.
Street address
videantis GmbH
Rotermundstraße 11
30165 Hannover, Germany
Japan sales
salesjapan@videantis.comTaiwan sales
salestaiwan@videantis.comCustomer support
videantis’ industry-leading products are backed with top-rated service and support. Customers can log in to the videantis support center.
support@videantis.comGeneral info
Having a generic question about videantis or its products? The videantis team is here to help.
info@videantis.comPublic relations
Having a question for the videantis marketing communications team?
press@videantis.com