nowfound

Alternatives

Products that do what Volume Shader does

Volume Shader - The Ultimate 3D GPU Benchmark & Stress Test

  1. 1

    Gpu benchmark test tool

    Dec 2025

  2. 2

    Real-time GPU shader editor for spatial computing

    2024

  3. 3AG

    Thought the resources for GPU arch were lacking, so here we are

    Apr 2026 · jaso1024.com

  4. 4VR

    I've been going through Cem Yuksel's "Introduction to Computer Graphics" course and thought that writing a volume renderer would be a good way to test my knowledge. It is a common technique used to render 3D medical data. Works by ray marching a specific step size, reading a 3D texture (e.g. MRI data), and calculating opacity values. Code should be easy to get started with for anyone familiar with the JS ecosystem. Questions for the HN community: I spent 20-25% of the entire time just setting up the project and fighting issues with the JavaScript ecosystem. This experience has made me…

    2024 · github.com

  5. 5SA
  6. 6
    Shader325

    New self-expression with AI

    2023

  7. 7SS

    Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…

    2023 · shadeform.ai

  8. 8SL

    Apr 2026 · eng.basement.studio

  9. 9

    Create beautiful moving gradients on Framer and Figma

    2023

  10. 10IV

    This is a GPU "software" raytracer (i.e. using manual ray-scene intersections and not RTX) written using the WebGPU API that renders glTF scenes. It supports many materials, textures, material & normal mapping, and heavily relies on multiple importance sampling to speed up convergence.

    2024 · github.com

  11. 11UL
  12. 12AR

    I’ve been experimenting with Rust lately and wanted a project that would help me explore some of its lower-level and performance-oriented features. Inspired by Sebastian Lague’s videos, I decided to implement my own ray tracer from scratch. The initial goal was just to render a simple 3D scene in the browser at a reasonable frame rate. It evolved into a small renderer that can: • Run locally or on the web using wgpu and WebAssembly • Perform mesh rendering with a Bounding Volume Hierarchy (BVH) for acceleration • Simulate both direct and indirect illumination for photorealistic results • Be…

    Nov 2025 · github.com

  13. 13TC

    TLDR: Click the link to see some cool visualizations, refresh a few times for random examples, and try editing some of the code yourself. This is a small weekend project of mine inspired by shadertoy.com It's a static single-page site hosted on GitHub pages so the website design is pretty barebones. I'm not a web developer so I mainly wanted to create a Cool Thing with my free time and not have to learn tons of front-end to do it. I'd love to hear what people think about it and please post or send me any shaders you make! You can use the link button in the bottom right to share. I hope that…

    2022 · textshader.com

  14. 14G2

    Back in the old days, people used to do general-purpose GPU programming by using shaders like GLSL. This is what inspired NVIDIA (and other companies) to eventually create CUDA (and friends). This is an implementation of GPT-2 using WebGL and shaders. Enjoy!

    2025 · github.com

  15. 15

    Test your GPU performance instantly in your browser

    Apr 2026 · devicexa.com

  16. 16IW
  17. 17

    The easiest way to use cloud GPUs

    2025

  18. 18

    Generative art on the GPU

    2022

  19. 19RA

    Oct 2025 · github.com

  20. 20

    Virtual reality gadgets are embodied in volumetric graphics

    2020

  21. 21UA

    The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…

    Apr 2026 · systalyze.com

  22. 22IM
  23. 23

    Precise tints and shades from any color in 10% increments.

    2020

  24. 243C

Ranked by how close each launch is in meaning, then by votes. Refine with a description →