Imagine the future, evenly distributed: a world with one GPU per person.
GPU Pricing — Live Platform Rates | Vast.ai
Live GPU pricing on Vast.ai. Prices set by supply and demand across 40+ data centers. On-demand, interruptible, or reserved — find the right GPU at the right price.
Chris Lattner on Twitter / X
Please don’t tell anyone: we aren’t just open sourcing all the models. We are doing the unspeakable: open sourcing all the gpu kernels too. Making them run on multivendor consumer hardware, and opening the door to folks who can beat our work.Plz keep it quiet, ok? 😉— Chris Lattner (@clattner_llvm) March 24, 2026
TPUs vs. GPUs and why Google is positioned to win AI race in the long term | Hacker News
To quote The Next Platform: "An Ironwood cluster linked with Google’s absolutely unique optical circuit switch interconnect can bring to bear 9,216 Ironwood TPUs with a combined 1.77 PB of HBM memory... This makes a rackscale Nvidia system based on 144 “Blackwell” GPU chiplets with an aggregate of 20.7 TB of HBM memory look like a joke."
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.
SF Compute: Commoditizing Compute to solve the GPU Bubble forever
Selling GPUs to avoid bankruptcy, empowering researchers with short term clusters, and why CoreWeave is maybe a real estate business
Where AI Startups Scale to Production
Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.
VectorWare
We are building the first GPU-native software company, making GPU software feel ordinary.
Thousands of Styled Rectangles in 120FPS on GPU
Secrets of rendering extremely fast UIs in WebGPU by minimizing overhead on the GPU.
TypeGPU – Type-safe WebGPU toolkit
Discover how it can change the way you work with GPU rendering and computing.
Iwo Plaza – Your GPU is a JavaScript runtime* (TypeGPU deep-dive)
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
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.
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.
