If only it had a Brain
Artificial Intelligence at the edge
In edge AI applications, there is no room to be second place – almost in time is not an option. Performance at the edge, however, is not the only design consideration. These complex systems also require power efficiency, discreet form factors, peripherals, and above all, the ability to keep up with rapidly evolving AI models and frameworks. Xilinx adaptive platforms and solutions enable developers to meet all these challenging requirements in single device.
With Xilinx, latency at the edge is no issue. Xilinx enables optimised hardware acceleration of both AI inference and other performance-critical functions by tightly coupling custom accelerators into a dynamic architecture silicon device. This delivers end-to-end application performance that is significantly greater than a fixed-architecture AI accelerator like a GPU. With a GPU, the other performance-critical functions of the application must still run in software, without the performance or efficiency of custom hardware acceleration.
Reprogrammability is at the heart of all Xilinx technology. New structures and layers in AI models are being introduced all the time. With adaptive silicon, Xilinx allows domain-specific architectures to be updated, optimizing to the newest models without the need for new silicon. ASICs and ASSPs, however, have fixed architectures with long development cycles that simply cannot keep up with the speed of AI.
Processing at the edge is critical in most factories, hospitals, and smart city applications, where latency and determinism have a significant impact on revenue. Avoidance of unexpected machine downtime, shorter patient wait/examination/diagnosis times, and quicker processing in high demand environments, like a sporting event, all directly tie into efficiency, productivity, and ultimately, money. As well, in intelligent applications such as factory automation, data has a shelf life. The more data can be consumed real-time, the more actionable the data.
Xilinx adaptive technology is proven to beat competitive offerings in latency reduction, power efficiency, and AI inference performance. Xilinx also offers the only comprehensive edge solution stack focused on functional safety, real-time vision and control, industrial networking, machine learning, mixed criticality software domains, and robust cybersecurity anchored in a hardware-root-of-trust without compromising on performance/watt, reliability over harsh conditions, and longevity of supply.
From forward camera and surround view systems to imaging RADAR and LiDAR sensors, Xilinx adaptive solutions provide extremely reliable real-time performance at low power consumption for automotive edge applications. The adaptable architecture of Xilinx devices provides the ability to parallelize operations in programmable logic, reducing clock rates compared to GPUs and CPUs, and lowering overall power consumption to provide greater reliability and performance while staying within automotive thermal envelopes.
In landscape of automotive edge applications is still evolving at a rapid pace. Xilinx offers the only solution that can rapidly adapt to the latest AI networks from hardware to software in single device—meaning no need to waste precious design cycles and resources to redesign as necessary with ASIC, CPU or GPU-based solutions.
Whether reacting to dangers on the road or ensuring that automated features run smoothly as expected, Xilinx adaptive technology is there to help automakers meet strict demands for computation latency, performance, power efficiency, and adaptability for edge sensors to optimally handle a growing number of complex scenarios.
1. On-Demand Webinar: Accelerating Predictive Maintenance with Python and Neural Network-based Edge AI
Learn how Xilinx-powered systems can incorporate intelligence to maximize productivity and lower downtime in the factory by applying predictive maintenance. Xilinx’s Python and Neural Network-based Edge AI Solutions simplify the implementation of hardware accelerated predictive maintenance to continuously monitor assets, analyze data, and intelligently plan service for these systems.
Learn more2. Programmable Logic: Accelerating Automotive Applications
As the demands on automotive capability increase, Xilinx Zynq UltraScale+ SoCs and supporting tool chains provide designers with the ability to achieve not only the desired performance for edge computing, but also the quality, functional safety and security required.
Learn more3. Zynq UltraScale+ MPSoC Kit Selection Guide
See how the ZCU102 kit compares with other Zynq UltraScale+ MPSoC kits and SOMs available from Xilinx and Avnet.
Learn more4. Vitis-AI 1.1 Flow for Avnet VITIS Platforms - Part 1
This guide provides detailed instructions for targeting the DNNDK samples from the Xilinx Vitis-AI 1.1 flow for Avnet Vitis 2019.2 platforms.
Learn more5. Vitis-AI 1.1 Flow for Avnet VITIS Platforms - Part 2
This guide provides detailed instructions for targeting the VART samples from the Xilinx Vitis-AI 1.1 flow for Avnet Vitis 2019.2 platforms.
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