VectorWare has announced the first implementation of Rust's Future trait and async/await running on GPUs by adapting the Embassy executor to a GPU environment.
Alibaba open-sourced AliSQL 8.0, which combines MySQL-compatible OLTP, DuckDB-based high-speed OLAP, and HNSW vector search into a single database. This article considers what that means amid MySQL stagnation and PostgreSQL's momentum.
A roundup of four topics around AI agent development and operations in February: a study showing AGENTS.md may be counterproductive, Continue.dev's CI-integrated AI checks, AWS Strands Agents' built-in session persistence, and Docker Shell Sandbox for isolated agent execution.
Google has launched a public preview of the Developer Knowledge API and MCP Server, letting generative AI tools access official documentation for Google Cloud, Android, Firebase, and other Google technologies.
Using Jeff Geerling's article as a starting point, this piece looks at how low-quality AI-generated contributions are increasing the burden on open source maintainers, along with responses from curl and GitHub.
How to configure VRAM/main memory split on the GMKtec EVO-X2 (Strix Halo) for local LLM inference. A 29.6GB model ran fine with just 8GB of dedicated VRAM.
Building an NSFW-capable local LLM on the GMKtec EVO-X2 (Strix Halo). Getting GPU inference at ~11 tokens/s with LM Studio and MS3.2-24B-Magnum-Diamond.
An explanation of why Qwen-Image-Edit's VAE is so heavy, how HunyuanImage 2.1 chose a 32x high-compression VAE instead, and how Kohya's memory-optimization work fits in.
A local-first voice cloning, TTS, and audiobook app that brings Qwen3-TTS, Chatterbox, Kokoro, and IndexTTS-2 into a single GUI. It uses a FastAPI backend, Flutter UI, and an MCP server.
Upscaling images loaded via the Load Image node was producing garbled output. Fixed it by addressing the non-contiguous tensor issue — a one-line patch to comfy/utils.py. Added a 2026-04-29 follow-up after a ComfyUI update wiped the patch and the bug came back, with the upstream PyTorch issue and a recurrence-detection snippet.
MioTTS from Aratako is a family of 0.1B to 2.6B Japanese-English TTS models built from scratch around the custom MioCodec. Its key feature is that it runs directly in llama.cpp and Ollama.
