--- title: "WWDC26: Build real-time neural rendering pipelines with Metal | Apple" url: https://daily.dev/posts/wwdc26-build-real-time-neural-rendering-pipelines-with-metal-apple-v2vlkdxpq source_url: https://www.youtube.com/watch?v=Yblpgbe9B9U type: video:youtube source: "Apple Developer" published: 2026-06-08T21:25:21.470Z updated: 2026-06-08T21:26:00.788Z tags: ["machine-learning", "3d"] reading_time: 22 upvotes: 0 comments: 0 language: 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. # WWDC26: Build real-time neural rendering pipelines with Metal | Apple **[Apple Developer](https://daily.dev/sources/appledeveloper)** · 22 min read · 0 upvotes · 0 comments ## Summary A WWDC26 session covering how to integrate machine learning into real-time rendering pipelines using Metal 4 on Apple platforms. Three levels of ML integration are presented: MetalFX for platform-integrated neural denoising and upscaling (with best practices around input quality, reflection/transmission handling, and motion vectors), the Metal 4 ML command encoder for deploying offline-trained models like a neural tone mapper (HDRNet) directly in the command buffer, and the TensorOps API for building tiny networks inline in shaders with support for online training. A sky illumination probe example demonstrates online training where a small MLP updates every frame to adapt to dynamic scene conditions. Code examples cover motion vector computation, MLP construction with cooperative tensors, and forward pass evaluation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#3d](https://daily.dev/tags/3d) [View this post on daily.dev](https://daily.dev/posts/wwdc26-build-real-time-neural-rendering-pipelines-with-metal-apple-v2vlkdxpq)