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Implemented

GPU compute backend (wgpu/WebGPU)

Priority 4 - Hardware Accelerators

$5,500 / $5,500fully funded
Done$5,500 / $5,500 - 100%
As an edge-AI / multimedia developer, I want vemu's GPU compute backend (wgpu/WebGPU) to stay accurate, tested, and documented, so that I can keep depending on accelerated NPU compute.

Why it matters

Accelerated NPU compute

Summary

WGSL kernels, bit-exact

Scope of work

Already implemented. Harden, broaden coverage, add tests and documentation for GPU compute backend (wgpu/WebGPU). What it is: WGSL kernels, bit-exact. Why it matters: Accelerated NPU compute.

Current state

Status: Fully implemented. Notes / evidence: vemu-npu-gpu.

Blocked by 1

Fund these first - this work can't be completed until they ship.

  • Done

Activity log

  1. Feature defined and added to the roadmap

  2. Funding goal set to $5,500

  3. Implementation status: Implemented

  4. Delivered - counted as fully funded