AI Chip Acceleration! FPGA Breakthroughs in AI Computing Power

High-performance computing chips have become one of the key factors in the competition for the digital economy and artificial intelligence, even determining the outcome of global computing power competition.
AI Chip Acceleration! FPGA Breakthroughs in AI Computing Power
What is a Computing Power Chip?
A computing power chip is a special integrated circuit designed to provide powerful computing capabilities.
As the core driving force behind AI computation, computing power chips carry the mission of enhancing computing power and are an important support for technological advancement.
AI chips effectively support the operation of complex algorithms with their high performance, meeting various real-time processing needs, and are widely used in multiple areas of artificial intelligence.
From a technical architecture perspective, AI chips can be divided into GPU, FPGA, and ASIC;
According to different network locations, AI chips can also be divided into cloud chips and edge chips;
By application goals, AI chips include training chips and inference chips.
AI Chip Acceleration! FPGA Breakthroughs in AI Computing Power
Development Prospects of the AI Chip Market:
High-performance computing chips are expected to achieve sustained growth in revenue among the top five global data center businesses by 2025.
At the same time, the global AI chip market is also continuously expanding. Gartner predicts that by 2024, the global AI chip market size will reach $67.148 billion, with a compound annual growth rate of 23.23% from 2022 to 2024.
AI Chip Acceleration! FPGA Breakthroughs in AI Computing Power
FPGA——Half-Customized Chip Breaking Through AI Computing Power Bottlenecks
FPGA (Field Programmable Gate Array) shows unique advantages in deep learning applications due to its bit-level customizable structure, pipelined parallel computing, and high efficiency.
Especially with FPGAs, even after the chip is manufactured, it can still be reprogrammed or upgraded in functionality.
AI Chip Acceleration! FPGA Breakthroughs in AI Computing Power
Unique Advantages of FPGA:
– Bit-level fine-grained customizable structure
– Pipelined parallel computing capability
– High efficiency
– Flexible architecture, allowing model optimization exploration
– Can still be reprogrammed or upgraded in functionality after chip manufacturing
FPGA Chip Market:
In the FPGA chip market, the two giants AMD and Intel dominate, establishing a stable competitive landscape globally.
In 2022, AMD acquired the FPGA leader Xilinx, completing the “CPU+GPU+FPGA” intelligent computing power strategic layout.
Meanwhile, Intel, unable to compete with Nvidia in the GPU field, chose to acquire the second-place FPGA company Altera, forming the “CPU+FPGA” intelligent computing combination.
FPGA is also known as the “Best Companion for CPU Intelligent Computing”
With the acceleration of domestic substitution, China’s AI chip industry has ushered in unprecedented development opportunities, showing a vigorous development trend, making it the most suitable time to enter the market!
❗Free FPGA Engineer Junior Certification Exam! ❗
FPGA Engineer Certification Levels: Junior, Intermediate, Senior
Educational Requirements for Exam Registration: College degree or above
This Exam Activity Arrangement:
Certification Level: Junior
Exam Time: May 22, 21:00~22:30 (90 minutes)
(Limited-time free registration during the event, limited spots and time, hurry to register~)
Free 3 online professional certification guidance Q&A sessions
Scan the QR code at the end of the text to add the consulting assistant’s corporate WeChat
Reply “Certification Registration” to be added to the certification guidance group
The specific exam syllabus and notices are as follows:
AI Chip Acceleration! FPGA Breakthroughs in AI Computing PowerAI Chip Acceleration! FPGA Breakthroughs in AI Computing Power
Long press the image to scan the code — to get the registration link
AI Chip Acceleration! FPGA Breakthroughs in AI Computing Power

Related posts

  1. Understanding ARM: The Company Behind Modern Computing
  2. History and Future of RISC-V
  3. Advancing RISC-V: High Performance as an Opportunity and a Key to a Large Ecosystem
  4. In-Depth Analysis of the Cryptocurrency Mining Virus Incident
  5. Understanding Open Source Culture: Openness, Sharing, and Collaboration
  6. Understanding the Computer Placement Process in Changchun
  7. Practical Differences and Application Strategies of HDL in FPGA and ASIC Design
  8. Free Distributed Optimization-Based Energy Sharing Model
  9. Unleashing Performance: The Powerful Domestic RK3588J+FPGA Core Board
  10. Principles and Interface Technologies of Microcomputers
  11. Low Power Design Strategies – Resource Sharing
  12. Key Indicators for Autonomous Driving AI Chip Selection
  13. MYiR Launches High-Performance 8-Core Processor Board with AI NPU
  14. Detailed Analysis of Allwinner T527 Chip: Computing Performance
  15. RK3566 Harmony Core Board/Development Board Overview
  16. The Impact of Smart Cars on the Adoption of Embedded Software
  17. Understanding RSRP Measurement Characteristics in 5G NR
  18. Broadcom 1T1R WiFi Module Overview
  19. A New Chip That Disrupts CPUs and GPUs

Leave a Comment