{"id":16470,"date":"2025-05-22T21:55:02","date_gmt":"2025-05-22T19:55:02","guid":{"rendered":"http:\/\/plus.maciejpiasecki.info\/index.php\/2025\/05\/22\/best-of-computex-2025-nvidia-dgx-spark-dgx-station\/"},"modified":"2025-05-22T22:01:46","modified_gmt":"2025-05-22T20:01:46","slug":"best-of-computex-2025-nvidia-dgx-spark-dgx-station","status":"publish","type":"post","link":"https:\/\/plus.maciejpiasecki.info\/index.php\/2025\/05\/22\/best-of-computex-2025-nvidia-dgx-spark-dgx-station\/","title":{"rendered":"Best of Computex 2025: NVIDIA DGX Spark &amp; DGX Station"},"content":{"rendered":"<p>While most of our awards for Best of Computex 2025 are going to consumer electronics, we absolutely had to give an award to the NVIDIA DGX Spark and NVIDIA DGX Station, because these are some of the most powerful PCs hitting the market. The interesting bit is that neither of these is intended for consumers. They\u2019re actually built for developers and those who work in professional settings that have a need for a powerful setup. Think developers, researchers, and data scientists, who would otherwise need an entire server to do their work. That\u2019s who the DGX Spark and DGX Station were designed for.<\/p>\n<p>Both the DGX Spark and DGX Station were built with the intention of providing enough computing power for things like processing generative AI workloads. That\u2019s hardly the most impressive thing about these PCs, though.<\/p>\n<p>NVIDIA pumped all that performance into something that can fit on top of your desk<\/p>\n<p>NVIDIA packed its most advanced graphical technology inside, with the GB10 Grace Blackwell superchip in the DGX Spark, and the GB300 Grace Blackwell superchip in the DGX Station. Additionally, each one offers a considerable amount of unified memory, although it\u2019s very clear which one was built to be more powerful. The DGX Spark delivers 128GB of unified memory, while the DGX Station offers a whopping 784GB of unified memory.<\/p>\n<p>What\u2019s more is that it has up to 20 petaflops of AI performance compared to the maximum of 1 petaflop in the DGX Spark. Even as powerful as the DGX Spark is going to be, this is like comparing a base model Mustang to a Lamborghini.<\/p>\n<p>Like we said, though, what\u2019s really impressive is that all of this power is squeezed into a size that can fit on a desk, as opposed to a giant server rack. Which is, really quite astounding. These aren\u2019t your grandfather\u2019s supercomputers. Obviously, computers like these are going to be pretty expensive. Then again, they\u2019re not meant for consumers. AI is everywhere these days, and more companies are going to need as much AI processing power as they can get, preferably without having to build a massive room for servers to handle all of it. This is why we gave the NVIDIA DGX Spark and DGX Station the Best of Computex 2025 Award.<br \/>\nThe post Best of Computex 2025: NVIDIA DGX Spark &amp; DGX Station appeared first on Android Headlines.&#013;<br \/>\n<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/plus.maciejpiasecki.info\/wp-content\/uploads\/2025\/05\/NVIDIA-DGX-Spark-Best-of-Computex.jpg\" width=\"1920\" height=\"1080\">&#013;<br \/>\nSource: ndroidheadlines.com&#013;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>While most of our awards for Best of Computex 2025 are going to consumer electronics, we absolutely had to give [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16471,"comment_status":"false","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-16470","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bez-kategorii"],"_links":{"self":[{"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/posts\/16470","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/comments?post=16470"}],"version-history":[{"count":1,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/posts\/16470\/revisions"}],"predecessor-version":[{"id":16472,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/posts\/16470\/revisions\/16472"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/media\/16471"}],"wp:attachment":[{"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/media?parent=16470"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/categories?post=16470"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/plus.maciejpiasecki.info\/index.php\/wp-json\/wp\/v2\/tags?post=16470"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}