Benjamin Carr, Ph.D. 👨🏻💻🧬<p><a href="https://hachyderm.io/tags/Arm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Arm</span></a>’s <a href="https://hachyderm.io/tags/Neoverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neoverse</span></a> V2, in <a href="https://hachyderm.io/tags/AWS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AWS</span></a>’s <a href="https://hachyderm.io/tags/Graviton4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Graviton4</span></a><br>Arm has mastered the complexity of designing a modern out-of-order core over the past few years. <a href="https://hachyderm.io/tags/NeoverseV2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeoverseV2</span></a> is yet another demonstration of that. It takes the solid foundation provided by prior Neoverse V and Cortex X cores, and makes improvements throughout the pipeline. Compared to <a href="https://hachyderm.io/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> and <a href="https://hachyderm.io/tags/Intel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Intel</span></a> cores, Neoverse V2 might have a leg up because its design only caters to <a href="https://hachyderm.io/tags/servers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>servers</span></a> and <a href="https://hachyderm.io/tags/smartphones" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>smartphones</span></a>. <br><a href="https://chipsandcheese.com/2024/07/22/arms-neoverse-v2-in-awss-graviton-4/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">chipsandcheese.com/2024/07/22/</span><span class="invisible">arms-neoverse-v2-in-awss-graviton-4/</span></a></p>