<story><title>2023 was the year that GPUs stood still</title><url>https://arstechnica.com/gadgets/2023/12/2023-was-the-year-that-gpus-stood-still/</url></story><parent_chain></parent_chain><comment><author>andrewstuart</author><text>Nvidia has a monopoly and for that reason has lost interest in giving value to customers. It’s busy with AI and no longer seems interested in gaming.&lt;p&gt;AMD seems to have no interest in competing with Nvidia and is content to release products that simply match Nvidia&amp;#x27;s terrible value. Despite being handed every possible chance to thrash Nvidia via competitive pricing, it simply releases slow GPUs at high prices and shrugs.&lt;p&gt;Intel competes hard since its in distant third place but it’s products are far far behind in terms of performance.&lt;p&gt;It’s lose lose lose for the GPU consumer.&lt;p&gt;The general attitude of GPU manufacturers is very different from CPUs where it is a knockdown beat up sprint fight to the death to make the fastest and cheapest CPUs possible shipped as quickly as possible with the goal of winning.&lt;p&gt;In GPUs it’s just a slow lazy fat gold grab in which no player is interested in making any further effort than they need to, for AMD and Nvidia anyway.</text></comment>
<story><title>2023 was the year that GPUs stood still</title><url>https://arstechnica.com/gadgets/2023/12/2023-was-the-year-that-gpus-stood-still/</url></story><parent_chain></parent_chain><comment><author>jadbox</author><text>We need a lot more memory for desktop GPUs with the need to run AI locally for productivity and gaming. 48gb+ would be the minimum ideal for running 70b+ models. If Nvidia, AMD, and Intel fail to deliver more to desktop users, I can see a lot more people switching to Apple&amp;#x27;s M3 or later chips with 80-128gb shared memory.&lt;p&gt;Similar to rewind.ai, I want a 100% offline AI with Vision to run on every file and image I touch. Every file I use can be categorized and available to prompt against.</text></comment>