patientx/ComfyUI-Zluda

ppmpreetham/BUI

Blender's GPU Accelerated UI, Decoupled from it's original codebase. Supports Rust, Python, JS, React, C & C++. Twice as good as GPUI

Spiral on Twitter / X

4/ Spiral is our database built on Vortex: • Direct S3 → GPU data loading (skip the CPU bottleneck) • One API for 10KB embeddings AND 4GB videos • Time-bounded, audited permissions (no more credentials passed to AI agents) • Actually saturates your GPUs— Spiral (@SpiralDB) September 11, 2025

GPUI

A fast, hybrid immediate and retained mode, GPU-accelerated UI framework for Rust from the creators of Zed and Delta.

GPUI

A fast, hybrid immediate and retained mode, GPU-accelerated UI framework for Rust from the creators of Zed and Delta.

Lilypad-Tech/lilypad

Run AI workloads easily in a decentralized GPU network. https://www.youtube.com/watch?v=yQnB2Yxia4Y

RightNow AI - YC-Backed GPU Research Lab

YC-backed GPU research lab building the RightNow CUDA editor, RunInfra inference infra, Forge kernels, and publishing AutoMegaKernel and related papers on arXiv.

Leveraging Rust and the GPU to render user interfaces at 120 FPS

From the Zed Blog: A deep-dive into the graphical underpinnings of GPUI, the hardware-accelerated framework that powers Zed's user interface.

Run Ollama with NVIDIA GPU in Proxmox VMs and LXC containers

Learn how to run Ollama with an NVIDIA GPU in Proxmox for an enhanced AI experience in your home lab and great chat performance

Bringing Edge AI to the Raspberry Pi GPU | Igalia

Igalia is an open source consulting firm specialised in the development of innovative projects and solutions. Our engineers have expertise in a wide range of technological areas, including browsers and client-side web technologies, graphics pipeline, compilers and virtual machines. We have the most WPE, WebKit, Chromium/Blink and Firefox expertise found in the consulting business, including many reviewers and committers. Igalia designs, develops, customises and optimises GNU/Linux-based solutions for companies across the globe. Our work and contributions are present in many projects such as GStreamer, Mesa 3D, WebKit, Chromium, etc.

Release v0.29.0 · ml-explore/mlx

Highlights Support for mxfp4 quantization (Metal, CPU) More performance improvements, bug fixes, features in CUDA backend mx.distributed supports NCCL back-end for CUDA What's Changed [CUDA]...

Benchmarking Tesla GPUs - esologic

Decommissioned enterprise tesla GPUs are widely available and extremely cheap. In this post, I benchmark tesla GPUs to see if they are useful

jazware/vlpds

Very Large PDS, a world-scale, incredibly efficient, incredibly resilient, atproto personal data server

Mesh LLM: distributed AI computing on iroh

How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.

Introducing CUDA Rust: Two Tracks for Writing GPU Kernels | NVIDIA Technical Blog

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and NVIDIA will be growing and maturing CUDA…