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[QA] Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
DeepSeek-V3 addresses hardware limitations in large language models through innovative architectures and co-design, enhancing efficiency and scalability for AI workloads while discussing future hardware directions.
https://arxiv.org/abs//2505.09343
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
DeepSeek-V3 addresses hardware limitations in large language models through innovative architectures and co-design, enhancing efficiency and scalability for AI workloads while discussing future hardware directions.
https://arxiv.org/abs//2505.09343
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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