AMD FPGA Spartan UltraScale+ Family

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.

https://ir.amd.com/news-events/press-releases/detail/1186/amd-extends-market-leading-fpga-portfolio-with-amd-spartan

AMD Extends Market-Leading FPGA Portfolio with AMD Spartan UltraScale+ Family Built for Cost-Sensitive Edge Applications

https://www.phoronix.com/news/AMD-Spartan-UltraScale-Plus

AMD Announces Spartan UltraScale+ FPGA Family - Phoronix

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

https://embeddedcomputing.com/technology/processing/semiconductor-ip/fpga-insights-and-trends-2023-unleashing-the-power-of-fpga

FPGA Insights and Trends 2023: Unleashing the Power of FPGA - Embedded Computing Design

Xilinx가 70%이상의 점유율을 가지고 있습니다.

Intel/Altera가 FPGA개발에 좋다고 답변한 사람이 많다는 것도 주목할 만하네요