AMD가 Xilinx를 인수한 이후에 젤 큰 업데이트 인것 같습니다. 2-3년 이내에 FPGA가 AI 관련 system에서 아주 중요한 일을 할수 있을것으로 기대하고 있습니다. Spartan family를 유심히 봐야할것 같습니다.
AMD Extends Market-Leading FPGA Portfolio with AMD Spartan UltraScale+ Family Built for Cost-Sensitive Edge Applications
Browse AMD’s company-wide and financial press releases.
ir.amd.com
https://www.phoronix.com/news/AMD-Spartan-UltraScale-Plus
AMD Announces Spartan UltraScale+ FPGA Family - Phoronix
Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 20,000 articles covering the state of Linux hardware support, Linux performance, gra
www.phoronix.com
https://semiengineering.com/using-fpgas-for-ai/
- FPGA for AI: The article discusses the use of FPGAs (Field Programmable Gate Arrays) for artificial intelligence (AI) and machine learning (ML), highlighting their potential due to inherent parallelism and hardware programmability.
- Power Efficiency: FPGAs are considered for AI applications because they can perform more processing than GPUs (Graphics Processing Units) within a quarter of the power budget, making them a low-power solution.
- Scalability: FPGAs are scalable and can be daisy-chained for larger algorithms or processing jobs, allowing for flexibility in handling complex AI tasks1.
- Programming Challenges: Despite their benefits, FPGAs face challenges such as a lack of a natural programming model for software developers and being power-hungry, which affects their adoption in AI applications2.
Using FPGAs For AI
How good are standard FPGAs for AI purposes, and how different will dedicated FPGA-based devices be from them?
semiengineering.com
FPGA Insights and Trends 2023: Unleashing the Power of FPGA - Embedded Computing Design
Step into the world of limitless innovation and technological transformation as we delve into the revolutionary rise of field-programmable gate arrays (FPGAs) and the booming market of 2023.
embeddedcomputing.com
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