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AMD’s Instinct MI350X-series AI GPU, with its cutting-edge CDNA 4 architecture, was released way back in June, but the recent ISSCC symposium in San Francisco is where we got a first deep dive into the engineering behind it.
Taking to the stage on February 16, AMD fellow design engineer Ramasamy Adaikkalavan talked through how AMD managed to fit nearly double the compute throughput into the same die area as its predecessor, and why the MI355X has fewer compute units than the GPU it replaces.
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AMD’s Instinct MI350X-series AI GPU, with its cutting-edge CDNA 4 architecture, was released way back in June, but the recent ISSCC symposium in San Francisco is where we got a first deep dive into the engineering behind it.
Taking to the stage on February 16, AMD fellow design engineer Ramasamy Adaikkalavan talked through how AMD managed to fit nearly double the compute throughput into the same die area as its predecessor, and why the MI355X has fewer compute units than the GPU it replaces.
We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
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