이번 강의에서는 비메모리 설계자, 하드웨어 엔지니어로서 꼭 알아야 할 AI HW(AI Hardware) 설계에 대해 다룹니다. AI HW 설계가 무엇인지부터 최적의 AI HW 설계를 위해서는 어떻게 해야 하는지 궁금하신 분들이라면 이 강의에 주목해주세요!
비메모리 반도체 설계의 필수 교양!
💡 수강 전 확인해주세요!
본 강의에서는 선수 강의 커리큘럼에 해당하는 부분을 다루지 않습니다. 선수 강의에서 다루는 내용에 대한 질문은 선수 강의에서 받고 있으니, 준비가 되신 분들의 수강신청을 부탁드립니다 🙂
자세한 소개영상 및 커리큘럼은 미리보기 영상을 통해 확인하실 수 있습니다. 수강신청 전 꼭 시청 부탁드립니다!
AI HW 설계 분야의 많은 기회가 기다리고 있습니다.
AI HW 설계 분야는 성숙된 지 10년이 채 안 된 분야입니다. 그만큼 수많은 국내외 스타트업들이 각자 세계 최고의 테크 기업이 되기 위해 노력하고 있습니다.
실제로 AI HW인 GPU, AI ASSP/ASIC (NPU), FPGA의 수요가 꾸준히 증가하고 있어 향후 10년 이상 지속적으로 미래 가치가 상승할 것으로 예상됩니다. 신생 기술 + 기대수요가 큰 시장이라는 특징이 일러주듯, 앞으로도 AI HW 분야의 전망이 밝으리라 확신합니다. 이는 AI HW 분야에 있는 여러분들에게 크나큰 기회가 기다리고 있다는 의미이기도 합니다.
I had an experience accelerating a given model with GPU in the lab. I really wanted to design it myself, but I was at a loss because there were no proper lectures or books that taught me about hardware accelerator design. Then I came across Matbi's AI hardware design lecture. This lecture was very helpful not only for hardware accelerator design methods but also for understanding the basics of deep learning. I recommend this lecture to those who are curious about hardware accelerator design methods and those who want to efficiently study by selecting knowledge that is helpful for hardware design among the vast amount of deep learning knowledge. I'm looking forward to the next lecture!
Thank you so much for your detailed second comment!!
It really helps me a lot in making the next lecture.
I made it thinking that it was a lecture for beginners in the field.
That means there are a lot of things you can do based on this knowledge in the future, right?!
There are a lot of materials on the Internet, so if you read them and study them, it will help you improve your skills.
Enjoy :)
Thank you for leaving a review, Yoonmae!
You've already passed the halfway point. If you continue steadily like this, you'll be able to grasp the entire flow of AI accelerator practice at a glance. Let's run together until the finish line!
Thank you, Onsaemiro, for leaving a review. (I'm so moved that you left reviews for other courses and here as well 😭)
I feel rewarded knowing that the AI accelerator hands-on course was very helpful to you. I'll continue to support you as you keep learning consistently and achieve deeper understanding and results. Enjoy your studies!
lkj9021, thank you for leaving a course review.
Even though it's still the early part of the course, your five-star rating gives me great encouragement. This course is structured so that you can naturally develop design intuition by building theory and practice together, so if you keep following along consistently, you'll feel even greater results in the latter part. Let's go all the way to completion together!
Taking my time to review it several times helped me understand. I think I got stuck because I was rushing too much. Thank you for explaining it in a way that's easy for undergraduates to understand and for your kind responses.
lksj112, thank you for leaving another precious course review.
I'm especially grateful that you initially had some disappointments, but through review, you came to understand and changed your evaluation positively. When rushing through, there are parts that get stuck, but I'm impressed by how you calmly repeated and understood through multiple attempts. I'm even more grateful that you didn't give up on the course. I won't say my lecture is a perfect lecture. If you complete it to the end and gain something from it, that would be a great reward for me. I'll continue to support you in completing it to the end. Thank you.