Add GPU-accelerated rendering: cpu/gpu/hybrid RenderBackend (Phase 8)
Splits RenderBackend's per-voxel face-visibility extraction and tile shading out as GPU-offloadable steps (wgpu compute shaders), while keeping greedy-mesh merge/compaction CPU-only per the plan's "partial GPU rendering" design. RENDER_BACKEND=cpu|gpu|hybrid selects the strategy, falling back to cpu automatically (logged) if no compatible GPU adapter is found. Verified against a real GPU: all tests pass, including ones asserting byte-identical output between the cpu and gpu backends; a new benchmark example honestly shows cpu currently outperforming gpu/hybrid at realistic batch sizes since each call is its own dispatch/readback round trip rather than batched across a whole render batch (documented as a follow-up optimization). Also fixes two real, pre-existing gaps found while validating the worker's actual `docker build`: a missing .dockerignore was sending the local multi-GB target/ dir into the build context, and the Dockerfile's rust:1.80 pin was already too old for current transitive dependency MSRVs (bumped to rust:1.97). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015tKdPZt78zbPUZMXWzKEKt
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@@ -36,6 +36,17 @@ services:
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# Scale render capacity locally with, e.g.: docker compose up --scale worker=3
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# A `worker` can also run standalone on a separate machine, pointed at the same
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# postgres/redis/minio over a private network (VPN/Tailscale/LAN) — see README.
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#
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# RENDER_BACKEND=gpu/hybrid (worker/.env.example, Phase 8) needs the container to actually
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# see a GPU — the nvidia-container-toolkit must be installed on the host, then uncomment:
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# deploy:
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# resources:
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# reservations:
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# devices:
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# - driver: nvidia
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# count: 1
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# capabilities: [gpu]
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# Default RENDER_BACKEND=cpu needs none of this — GPU rendering is opt-in, not required.
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postgres:
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image: postgres:17-alpine
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