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65- < i class ="fa fa-github "> </ i > GitHub
65+ < i class ="fab fa-github "> </ i > GitHub
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6767 </ nav >
6868
8080 < a href ="index.html " class ="py-2 font-medium text-primary transition-colors "> Blog</ a >
8181 < a href ="../index.html#team " class ="py-2 font-medium hover:text-primary transition-colors "> Team</ a >
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83- < i class ="fa fa-github "> </ i > GitHub
83+ < i class ="fab fa-github "> </ i > GitHub
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8585 </ div >
8686 </ div >
@@ -216,7 +216,30 @@ <h3 class="text-2xl font-semibold mb-2">Quantum Machine Learning: Current State
216216 </ a >
217217 </ div >
218218 </ div >
219- </ article >
219+ </ article >
220+
221+ <!-- Post 6 -->
222+ < article class ="bg-gray-50 rounded-xl overflow-hidden shadow-sm card-hover ">
223+ < div class ="md:flex ">
224+ < div class ="md:w-1/3 ">
225+ < img src ="https://picsum.photos/id/160/600/400 " alt ="GPU Programming " class ="w-full h-full object-cover ">
226+ </ div >
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229+ < span > < i class ="fa fa-calendar-o mr-1 "> </ i > Oct 1, 2025</ span >
230+ < span class ="mx-2 "> •</ span >
231+ < span > < i class ="fa fa-tag mr-1 "> </ i > GPU Programming</ span >
232+ </ div >
233+ < h3 class ="text-2xl font-semibold mb-2 "> Which Components of ML, Deep Learning, and LLMs Benefit Most from GPUs?</ h3 >
234+ < p class ="text-gray-600 mb-4 ">
235+ Explains why GPUs outperform CPUs for specific ML tasks, focusing on parallelism, memory bandwidth, and optimized math libraries.
236+ </ p >
237+ < a href ="20251001-gpu-accelerated-ml-components.html " class ="inline-flex items-center text-primary font-medium hover:underline ">
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221244 </ div >
222245 </ div >
@@ -239,7 +262,7 @@ <h3 class="text-2xl font-semibold mb-2">Quantum Machine Learning: Current State
239262 </ p >
240263 < div class ="flex gap-4 ">
241264 < a href ="https://github.com/AIComputing101 " target ="_blank " class ="text-white/60 hover:text-white transition-colors ">
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@@ -257,10 +280,9 @@ <h3 class="text-2xl font-semibold mb-2">Quantum Machine Learning: Current State
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