Baidu Edge Accelerated Computing Solution Features Xilinx MPSoC
Published2019.01.24 09:02Supports Xilinx technology-based Edge Boards, ADAS, etc.
Xilinx's MPSoC has been incorporated into Baidu's edge accelerated computing solution.
Xilinx announced on the 21st that its technology has been adopted in Baidu's recently announced edge-accelerated computing solution, EdgeBoard.
Baidu Edge Board based on Xilinx Zynq UltraScale MPSoC
EdgeBoard is a turnkey solution that Baidu can fully configure directly.
This solution provides the industry with proven, market-specific technologies to enable enterprises to rapidly adopt and deploy edge-specific applications. Configuration and customization are also possible according to the strategy of the Baidu Brain AI Hardware Platform developed for this purpose.
The Baidu Brain AI hardware platform is part of the Baidu Brain AI-enabled open platform, which includes open computing services and hardware and software products for Baidu's edge AI applications.
Edge Board is based on Xilinx’s Zynq UltraScale+ MPSoC, which integrates a real-time processor and programmable logic, and provides exceptional system performance, flexibility, and scalability to enable developers to rapidly implement and launch innovative AI products.
Xilinx MPSoC-based edge boards enable the development of edge application products such as smart video security surveillance solutions, ADAS (Advanced Driver Assistance System), and next-generation robots.
Youping Yu, General Manager of Baidu’s AI Ecosystem Business Unit, said, “Xilinx provides world-class adaptive chips and development support,” adding, “The flexible edge boards, powered by Xilinx technology, are designed to enable developers and engineers to quickly leverage Baidu’s proven technologies or implement their own defined models and build faster.”
He added, “This is an ideal acceleration engine that enables Baidu Brain to provide a wide range of services to edge AI developers in China.”
Freddy Engineer, Corporate Vice President of Global Data Center Sales at Xilinx, said, “We are very pleased that Xilinx’s technology has been adopted for the Baidu Brain AI hardware platform.”“The vast open ecosystem being implemented by Baidu will provide products and solutions that improve the way we work and live by accelerating edge AI innovation across China,” he stated.
관련뉴스
Samsung Future Technology Forum held in China, with Baidu, Xiaomi, and others participating.
삼성전자가 중국 베이징에서 삼성 미래기술 포럼을 열고 새로운 IT 패러다임으로 부상한 AI 분야에 최적화된 솔루션을 선보이며 미래 부품사업 경쟁력 강화에 나섰다. 이번 행사는 삼성전자 DS부문 중국 총괄 주관으로 진행되는 첫 번째 AI 포럼으로 바이두, 샤오미, 하이크비전 등 글로벌 기업과 중국 내 AI 관련 스타트업 기업 관계자 약 500명이 참석했다.
2018.11.17by 이수민 기자
[CES 2019] Intel Leads the New Era of Computing
CES 2019에서 인텔은 PC와 새로운 디바이스는 물론 AI, 5G, 자율주행을 비롯한 다양한 성장 부문에 이르기까지 여러 내용에 대해 몇 가지를 발표했다. 그리고 새로운 사용자 경험과 미래의 폼팩터를 가능하게 하기 위해 데이터 센터, 클라우드 네트워크, 에지에 걸쳐 필요한 혁신에 대해서 논했다.
2019.01.10by 이수민 기자
ST Expands Support for Amazon FreeRTOS with Starter Kit
STMicroelectronics announced that it has expanded support for Amazon FreeRTOS through its new STM32 starter kit. Amazon FreeRTOS is an operating system for microcontrollers required to develop low-power, small edge devices, offering ease in programming, installation, security, connectivity, and management. Based on the FreeRTOS kernel, Amazon FreeRTOS enables users to easily and securely connect small, low-power devices to AWS cloud services such as AWS IoT Core, or to more powerful edge devices running AWS IoT Greengrass.
2019.01.14by 이수민 기자
ST Microelectronics and NUS Establish Joint Research Center 'HELIX' for Edge AI
ST Microelectronics and the National University of Singapore have established the 'HELIX' joint research center aimed at implementing embedded AI in edge environments. Over a four-year period, the center will conduct research across the entire technology stack from algorithms to silicon, focusing on memory-centric architecture leveraging ST's 18nm FD-SOI technology and embedded PCM. The core objective is to implement intelligence directly in physical devices such as robots and drones while minimizing energy consumption.
2026.08.28by 배종인 기자
ams, 디지털 포토닉스로 휴머노이드 로봇 감각·소통 기능 지원
ams OSRAM이 디지털 포토닉스 기술을 활용해 휴머노이드 로봇의 감각·소통 기능을 강화하는 솔루션을 공개했다. dToF 센서, 광학식 힘 센서, 구조광 이미터 등으로 주변 환경 인식과 정밀 조작을 구현하며, EVIYOS·ALIYOS 플랫폼으로 LED 기반 비언어 소통을 지원한다. 시장조사에 따르면 휴머노이드 로봇 시장은 2025년 6억 달러에서 2035년 510억 달러로 성장할 전망이며, 로봇의 감각 능력 향상이 핵심 성장 동인으로 작용할 것으로 예상된다.
2026.08.27by 배종인 기자
