Run Prism Bonsai 2 9B and 27B locally with Nix, tuned AMD GPU profiles, and OpenCode.
PrismML on Twitter / X
1-bit Bonsai 8B running locally on an M4 Pro (MLX) alongside a standard 16-bit 8B model.Same class of model, very different deployment profile: far lower memory use and substantially higher throughput. pic.twitter.com/dxMFSyCZDG— PrismML (@PrismML) March 31, 2026
Orange Pi Zero 3W 6GB LPDDR5 Allwinner A733 Octa Core CPU 3 Tops Single Board Computer, 2.0GHz Frequency WiFi 6 & Bluetooth 5.4 (BLE) Onboard Antenna Support 4K Display Run Android Ubuntu
Category Specification Details SOC：AllWinner A733 CPU：2 x Arm Cortex-A76 (up to 2.0 GHz) 6 x Arm Cortex-A55 GPU：Imagination PowerVR BXM-4-64 MC1Supporting OpenGL ES 3.2, Vulkan 1.3, OpenCL 3.0 NPU：Up to 3 TOPS @INT8, supporting mixed-precision computation with INT8, INT16, FP16, and BF16. Coproc...
PrismML — Announcing 1-bit Bonsai: The First Commercially Viable 1-bit LLMs
Today, we are announcing 1-bit Bonsai models that bring advanced intelligence to the devices where people actually live and work.
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Bonsai 1-bit WebGPU - a Hugging Face Space by webml-community
Run 1-bit Bonsai LLMs locally in your browser on WebGPU
PrismML — Introducing Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint
Ternary Bonsai 2 27B retains 98.2% of Qwen3.8 27B benchmark performance in a 5.9GB footprint, with multimodal and agentic capabilities.
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qualcomm/nexa-sdk
Run frontier LLMs and VLMs with day-0 model support across GPU, NPU, and CPU, with comprehensive runtime coverage for PC (Python/C++), mobile (Android & iOS), and Linux/IoT (Arm64 & x86 Docker). Supporting OpenAI GPT-OSS, IBM Granite-4, Qwen-3-VL, Gemma-3n, Ministral-3, and more.
Electrobun + WGPU - Blackboard Blog
Electrobun now ships first-class WGPU, so you can render straight to GPU or use our Three.js/Babylon adapters in Bun without touching a webview.
magnitudedev/magnitude
Open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. 2x faster than Ollama. Works on Apple Silicon, NVIDIA, AMD, Intel, or just a CPU.
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
Qualcomm made a Pi 5 killer. Good luck getting one.
NVIDIA DGX Station for Windows Puts a Trillion-Parameter AI Supercomputer on Every Enterprise Desk
News Summary: NVIDIA announces DGX Station for Windows — the world’s most powerful deskside AI supercomputer for developing and running agents on Windows — built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, coming in Q4 this year. DGX Station brings frontier AI agents to Windows — enabling enterprise developers, researchers, engineers, designers and data scientists to build and deploy AI across the workflows and applications their business runs on. DGX Station will support NVIDIA OpenShell on Windows, built on new Windows security and containment primitives. TAIPEI, Taiwan, June 01, 2026 (GLOBE NEWSWIRE) - NVIDIA GTC Taipei - NVIDIA today announced NVIDIA DGX Station™ for Windows , the world’s most powerful deskside AI supercomputer designed to build, run and connect always-on AI agents to Windows applications and workflows, capable of running frontier AI models of up to 1 trillion parameters locally. Historically, heavy-duty enterprise AI workloads —
GitHub - playcanvas/engine: Powerful web graphics runtime built on WebGL, WebGPU, WebXR and glTF
Powerful web graphics runtime built on WebGL, WebGPU, WebXR and glTF - playcanvas/engine
OpenAI partners with Cerebras
OpenAI partners with Cerebras to add 750MW of high-speed AI compute, reducing inference latency and making ChatGPT faster for real-time AI workloads.
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
Portable Computer: Local-First AI
Run Perplexity Computer locally on NVIDIA DGX Spark. Private, on-device work with cloud escalation when needed.
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.
