Rendering
Rendering on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on rendering in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around rendering, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
If you had a bunch of GPUs lying around, what would you actually build with them? (Running LLMs is off the table) [D]
Beyond the well-trodden path of local LLMs, a stack of high-end GPUs unlocks a realm of compelling possibilities. What truly innovative projects would emerge? Consider distributed simulations, specialized generative models outside of text, or accelerated rendering pipelines. The opportunity exists for impactful homelab experiments demanding serious computational power, or even uniquely ambitious personal endeavors. Explore the potential – as demonstrated by projects like the Doom renderer reimagined as a transformer, discussed in "I compiled Doom's renderer into a 21B-parameter transformer"—and share your most intriguing ideas.
I compiled Doom's renderer into a 21B-parameter transformer -- no training anywhere [P]
Researchers have achieved a remarkable feat: compiling Doom's rendering engine into a 21-billion parameter transformer model, bypassing traditional training methods. Utilizing a custom compiler, the Doom algorithm’s computation graph was translated into transformer weights, resulting in a Hugging Face-compatible checkpoint. Inputting scene data as a prompt generates pixel drawing commands, reconstructing the iconic E1M1 frame. While achieving a modest 35 frames per day on a B200 (compared to the original’s 35 FPS), this innovative approach demonstrates the potential of AI-native computation.