Softwired Technologies

2026 is about automotive at Softwired. This year we launched two automotive projects. 🇪🇺 🇭🇺 Openpilot Hungary: At Openpilot Hungary we re-sell comma fours in the EU. We arleady shipped to Italy, Germany, Denmark, Netherlands, Belgium, Sweden and Hungary. Our customers drive with openpilot in Tesla, Volkswagen, Toyota, Kia, and Hyundai vehicles. Check it out: https://openpilot.hu ⚫️ DashKit: Our first hardware product, the DashKit, is currently in alpha testing phase. Coming with open source firmware, and an open source companion app, DashKit upgrades your Teslas capabilities, brings you a real-time dashboard and instrument cluster on your phone, automations (wiper off, multi-touch infotainment triggers), battery pre-heat, always-on blind spot monitoring, and many more. https://cardashkit.com

We are happy to sponsor the new, open-source Ladybird web browser! We believe in a truly open web. Supporting projects like Ladybird helps ensure the web remains free, accessible, and independent for everyone. https://lnkd.in/d4DCiAuE

Tensor cores in #webgpu WebGPU has a new feature called subgroup matrix, currently behind a Chromium experimental flag. It exposes Metal's simdgroup functionality (simdgroup_float8x8, simdgroup_load, simdgroup_multiply_accumulate, etc.), and maps to similar constructs in backends such as Vulkan or DirectX. Subgroup matrix allows WebGPU shaders to express warp-level matrix math. I created a new Dawn build from master that has this feature, and integrated it into pydawn, then wrote a matmul kernel that: - shows how to define lhs, rhs and result matrices (subgroup_matrix_{left/right/result}<{datatype}, 8, 8>) - features subgroupMatrixLoad to load matrices from memory - shows how to calculate offsets in a tiled matmul - shows how to store a subgroup matrix into memory And the good part is that it is all in Python, thanks to the autogenerated pydawn bindings: https://lnkd.in/dNXW9Ebx

brainchop.org now runs on #tinygrad #WebGPU - a project we’ve been collaborating on.

Our first blog post dives deep into the internals of tinygrad’s WebGPU backend. WGSL doesn’t support sub-32-bit integer types, so we had to get creative - the solution is bitpacking. If you’re ready to revisit bitshifts, masks, and some low-level GPU fun, this one’s for you. https://lnkd.in/dzkR97tG #webgpu #tinygrad #gpgpu #bitpacking #atomics