Presently, artificial intelligence (AI) and machine learning (ML) methodologies play a pivotal role in enhancing time-sensitive and resource-intensive operations. A prominent example lies within satellite communication, a sphere characterized by its critical nature. While applications within the on-ground segment possess a degree of flexibility, onboard applications present formidable hurdles due to factors such as power limitations, radiation exposure, and the need for fault-tolerant architectures.
While custom-designed ASICs offer high AI performance, their development is costly. The need for greater AI capabilities due to increased data rates and autonomy has made traditional space CPUs obsolete. To address this challenge, a trend towards utilizing non-qualified COTS devices for AI tasks is emerging. These off-the-shelf components aren't originally intended for space use but provide the necessary computational power. This approach offers cost-effectiveness and availability benefits. However, it also raises concerns about reliability, testing, and device longevity in the harsh space environment.
The market for commercial embedded chipsets with AI capabilities can be categorized into two main segments: embedded GPUs and dedicated hardware co-processors or standalone embedded systems. Notably, numerous devices have been introduced to this market, with industry leaders such as NVIDIA, AMD/Xilinx, Intel, and Qualcomm taking the forefront in launching these innovations.
The Versal family of devices, developed by Xilinx (now a part of AMD), represents a new generation of adaptive compute acceleration platforms. These devices are designed to provide high-performance capabilities across a wide range of applications, including artificial intelligence (AI), machine learning (ML), data center acceleration, networking, and more.
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Versal devices are part of the "ACAP" category, which stands for Adaptive Compute Acceleration Platform. Unlike traditional FPGAs (Field-Programmable Gate Arrays), which are versatile but might require significant effort to program for specific tasks, ACAPs like Versal combine FPGA-like programmability with specialized hardware and software components tailored for various tasks.
Key features of the Versal family include:
The Versal family encompasses various models tailored for different use cases and grouped in five families, with a sixth in the roadmap ensuring that users can select a device best suited for their specific requirements.
Copyright © 2023 Advanced Micro Devices, Inc.
The Versal Prime series is a versatile solution designed to tackle challenges across different industries with a focus on performance and flexibility:
The Versal Premium series represents a versatile solution tailored to diverse industry challenges, emphasizing superior performance and adaptability:
The Versal HBM series addresses critical challenges with a focus on improving processing and memory bottlenecks. The series offers:
The Versal AI family stand out as highly suitable solutions for implementing machine learning (ML) and artificial intelligence (AI) algorithms due to the integration of AI Engines. These AI Engines play a pivotal role in accelerating and optimizing AI and ML workloads, ensuring efficient and high-performance execution of complex algorithms.
The Versal AI Core series devices are specifically optimized for demanding compute-intensive applications, with a strong focus on digital signal processing (DSP), artificial intelligence (AI), and machine learning (ML) tasks. These devices prove vital in various domains, including:
In essence, the Versal AI Core series devices offer a comprehensive solution for a wide spectrum of applications that require high-performance AI, ML, and DSP capabilities.
In the other hand, the Versal AI Edge series introduces revolutionary computing capabilities across diverse applications, spanning from automotive to robotics, UAVs, and medical imaging.
Overall, the Versal AI Edge series signifies a transformative leap in computing capabilities, shaping industries with its versatility and advanced features.
The AMD VCK5000 Versal™ development card leverages the power of the AMD 7nm Versal adaptive SoC architecture to optimize a wide range of applications, including 5G, data center compute, AI, signal processing, and radar. With comprehensive support from Vitis™, Vitis AI, and partner solutions, the VCK5000's domain-specific architecture offers remarkable horsepower per watt while prioritizing user-friendliness through C/C++ software programmability for cloud computing.
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The VCK190 kit serves as the inaugural evaluation kit for the Versal™ AI Core series, empowering designers to create solutions utilizing AI and DSP engines that offer a remarkable compute performance boost of over 100 times compared to current server-class CPUs. With a range of connectivity options and standardized development workflows, the VCK190 kit showcases the Versal AI Core series VC1902 device, boasting the highest AI inference and signal processing throughput within the portfolio. This kit proves to be an optimal platform, catering to applications necessitating high throughput AI inference and signal processing across various domains, spanning from cloud to edge computing.
Copyright © 2023 Advanced Micro Devices, Inc.
The Xilinx Versal AI Edge/Prime-based System On Module (SOM) showcases the cutting-edge capabilities of the Versal AI Edge SoC VE2302/2202/2102/2002 and Versal Prime VM1102 device. This SOM features robust processing power with Dual-core Arm Cortex-A72 processors capable of reaching up to 1.7GHz, as well as Dual-core Arm Cortex-R5F processors with speeds up to 750MHz, forming the processing system foundation.
Moreover, the Versal AI Edge/Prime SOM is equipped with a substantial 64-bit 4GB LPDDR4 RAM, ensuring ample memory capacity for demanding applications. The module further facilitates high-speed connectivity through an 8 GTYP high-speed Transceiver, capable of supporting data rates of up to 32 Gbps. This performance prowess positions the Versal AI Edge/Prime SOM as an ideal solution for running resource-intensive applications.
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