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masoud@anyscale.com
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update readme: mark todo 1 done, add CI docs
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README.md

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@@ -342,9 +342,16 @@ Distributed Proving Simulation: PASS
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#### "PyTorch CUDA not available"
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- Install PyTorch with CUDA: `pip install torch --index-url https://download.pytorch.org/whl/cu118`
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## CI
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Lightweight CI runs on every PR to `main` and `dev`:
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- Builds zkml library (nightly Rust)
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- Runs `zkml/testing/` tests (~3-4 min total)
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- AWS/GPU tests excluded to save costs
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## TODO: Next Steps
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1. **Make Merkle root public**: Add root to public values so next chunk can verify it
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1. ~~**Make Merkle root public**: Add root to public values so next chunk can verify it~~ ✅ Done
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2. **Complete proof generation**: Connect chunk execution to actual proof generation
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3. **Ray-Rust integration**: Connect Python Ray workers to Rust proof generation
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4. **GPU acceleration**: Current implementation is CPU-based. GPU acceleration for proof generation requires additional work (Halo2 GPU support or custom GPU kernels)

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