WSL2's lightweight VM claims memory dynamically as Linux processes need it — but historically gave that memory back to Windows only reluctantly. Here's what's actually happening, and what you control via .wslconfig.
For years, setting up WSL meant enabling Windows features manually, downloading a kernel update package separately, and installing a distro as separate steps. The wsl --install command collapsed all of it into one line.
A complete walkthrough moving from a secondhand claim you've read somewhere to an actual verified fact — court records, SEC filings, contemporaneous news archives, and original announcements, not just another blog post.
A distro that hangs indefinitely on first launch, or refuses to start on a machine that's run WSL fine before, usually traces back to one of a handful of specific, diagnosable causes.
Running notepad.exe from a Bash prompt, or a Linux tool from Windows' own command line, works because of a specific interop layer translating between two completely different executable formats and process models.
Announced at Build 2020 and released to Windows Insiders the following spring, WSLg let a Linux graphical application's window appear on the Windows desktop like any native app — no separate remote desktop session required.
A complete walkthrough finding, reading, and actually understanding Request for Comments documents — the original, primary-source specifications behind email, the early internet, and much of the web's foundational technology.
A project that runs fine natively feels sluggish the moment it's accessed from /mnt/c inside WSL2 — especially anything touching large numbers of small files. Here's why, and the actual fix.
Running a Linux GUI application inside WSL and having its window appear alongside your native Windows apps looks like magic. It's actually a full Wayland compositor and audio system, tunneled over RDP, running invisibly.
Microsoft announced GPU-accelerated compute support for WSL2 at Build 2020, followed by an NVIDIA CUDA preview that let machine learning frameworks like PyTorch and TensorFlow use a physical GPU from inside WSL2.