Latest Nvidia AI news and updates. Model releases, announcements, benchmarks, and developments. Updated daily.
This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent’s ML exploration capability, which autonomously designs, executes, and analyzes ranking model experiments. This post covers how to optimize the low-level infrastructure that makes those models run [...] Read More... The post KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure appeared first on Engineering at Meta .
We cap out our World Models coverage with one of the most exciting new approaches - long running, multiplayer, interactive world models built with agents bootstrapped from game engines!
This post describes how TGS achieved near-linear scaling for distributed training and expanded context windows for their Vision Transformer-based SFM using Amazon SageMaker HyperPod. This joint solution cut training time from 6 months to just 5 days while enabling analysis of seismic volumes larger than previously possible.
In this post, we explore the challenges that Volkswagen Group faced in producing brand-compliant marketing assets at scale. We walk through how we built a generative AI solution that generates photorealistic vehicle images, validates technical accuracy at the component level, and helps enforce brand guideline compliance alignment across the ten brands.
a quiet day lets us report an important GPU trend
Last week leading chipmaker Nvidia announced DLSS-5 (Deep Learning Super Sampling), a new artificial intelligence (AI) rendering tool it describes as a breakthrough in visual fidelity for games. The software takes low-resolution images and uses AI to upscale them, adding what Nvidia calls photoreal lighting and materials.
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