... everyone I just launched kernelIQ an open-source Linux diagnostic assistant built to help investigate system issues in a more natural way. Instead of only showing raw metrics, kernelIQ

... service/app. Works like a charm. Comment from Solal Zanovello(@solal_aegis): This is a game-changer for AI context management. I m currently 17, building Aegis Omni-Core (a high-performance no_std Rust kernel), and I hit the same wall with submodules. When you're working on low-level SIMD optimizations (AVX2), the AI (Cursor/Claude) needs to see the link between the core kernel

... during inference) by up to 7.3 . What's new in this release: User-selectable Compute Mode in Settings AI Optimization. Pick Auto, CPU, or GPU (CUDA). Real integration with the turboquant-gpu library. The GPU backend runs cuTile fused kernels for the full 2-bit / 3-bit KV compression path. The CPU backend uses a PyTorch fallback with physical-core thread pinning and MKLDNN acceleration. Live-measured compression ratios in the UI. No more static lookup tables ... ... actual compression your backend produced on the last request. Graceful fallback everywhere. Missing CUDA? Falls back to CPU. Missing cuTile kernels

... everyone! I think writing GPU code is going to be something that's going to become ubiquitous even though today it's a tough and time consuming process. Claude Code and Cursor agents have gotten great at writing GPU kernels once they know what to target. What's missing is the tooling to get them there. We're building that tooling at https://ncompass.tech . Our agent analyzes the profile and gives back a list of bottlenecks and ways to solve ... ... them. Once that's known, you can feed that to Claude Code / Cursor and they will implement the code. Using Claude Code and the nCompass agent, we implemented a Hopper GEMM kernel

... this as a personal dream for a lot of years. I always felt the cookie-cutter way of deploying a virtual server was tired and backwards, so we got to work on this as one of our projects at Kernel Keepers LTD. You get your network first, we allocate a full /24 subnet to you, and then you plonk your services on top of that, think of it like a homelab in the cloud. Think of it like a totally ...