--- title: The AI Race Has A Translation Problem | daily.dev description: Infinity, an AI infrastructure startup, raised $15M to build software that helps AI models run across non-Nvidia chips. Their core product is a... canonical: https://daily.dev/posts/the-ai-race-has-a-translation-problem-aq1utc7zc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The AI Race Has A Translation Problem | daily.dev og:description: Infinity, an AI infrastructure startup, raised $15M to build software that helps AI models run across non-Nvidia chips. Their core product is a... og:url: https://daily.dev/posts/the-ai-race-has-a-translation-problem-aq1utc7zc og:image: https://api.daily.dev/og/posts/aq1uTC7ZC.png og:image:alt: The AI Race Has A Translation Problem og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The AI Race Has A Translation Problem **[Medium](https://daily.dev/sources/medium_js)** · 7 min read · 0 upvotes · 0 comments ## Summary Infinity, an AI infrastructure startup, raised $15M to build software that helps AI models run across non-Nvidia chips. Their core product is a CUDA-alternative kernel software layer and universal inference library. Their AI research agent, Ignition, autonomously writes, tests, and optimizes low-level code for alternative chip architectures. A case study showed Qwen3 running on d-Matrix's Corsair accelerator within 10 days. Infinity's business model takes a share of performance gains rather than charging upfront fees. The broader argument is that Nvidia's moat is as much cultural and software-based as it is hardware-based, and that AI-driven automation of low-level kernel work could make alternative chips viable without requiring developers to rebuild their entire workflows. ## Full article daily.dev links to this article rather than hosting it. 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