{"id":1598304,"date":"2026-06-05T10:32:02","date_gmt":"2026-06-05T10:32:02","guid":{"rendered":"http:\/\/buwwR24NeCXrYzierhx3G"},"modified":"2026-06-05T10:32:02","modified_gmt":"2026-06-05T10:32:02","slug":"i-expected-nvidias-keynote-to-leave-out-gaming-entirely-but-the-rtx-sparks-purported-5070-like-performance-is-a-pleasant-surprise","status":"publish","type":"post","link":"https:\/\/arcader.org\/news\/i-expected-nvidias-keynote-to-leave-out-gaming-entirely-but-the-rtx-sparks-purported-5070-like-performance-is-a-pleasant-surprise\/","title":{"rendered":"I expected Nvidia’s keynote to leave out gaming entirely, but the RTX Spark’s purported 5070-like performance is a pleasant surprise"},"content":{"rendered":"
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It’s not lost on me that Nvidia isn’t a primarily gaming-focused company anymore. On the off-chance you’ve been living under a cool mossy rock for the last few years, Nvidia were once primarily known for their powerful graphics cards, but are now very much all-in on AI.<\/p>\n

Why? Well, let me put it this way: during the first quarter of 2026, the data centre segment of Nvidia’s business raked in $75.2 billion alone<\/em><\/a>. Supplying the AI industry with hardware has proven incredibly lucrative for the company, leading Nvidia to become the world’s first $5 trillion company last year<\/a>.<\/p>\n

So, imagine my surprise when at this year’s Computex, Nvidia finally unveiled the much-leaked<\/a> RTX Spark. Billed as a “superchip,” machine learning applications definitely feature in the elevator pitch\u2014that’s hardly surprising because, as our Jeremy so expertly explains<\/a>, it is “basically a rebadge of the GB10 superchip in the DGX Spark desktop AI box that it launched in October last year<\/a>.” <\/p>\n

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