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docs: fold k3s cluster setup + netcup-vps into infrastructure docs
Added to INFRASTRUCTURE.md: - k3s cluster topology (cupfox control plane) - Ollama inference serving (Neon-64GB, Caddy reverse proxy) - netcup-vps ARM64 math stack (openblas, petsc, z3, julia) - Reference to 4-Infrastructure/docs/k3s-cluster-setup.md
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@ -250,3 +250,36 @@ openFPGALoader -b tangnano9k research_stack_top.fs
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export KUBECONFIG=/tmp/researchstack-kubeconfig.yaml
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export KUBECONFIG=/tmp/researchstack-kubeconfig.yaml
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kubectl get pods -A
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kubectl get pods -A
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```
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```
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## k3s Cluster Setup
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Detailed cluster setup documentation: `4-Infrastructure/docs/k3s-cluster-setup.md`
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### Topology (cupfox control plane)
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| Node | Tailscale IP | Role | Arch |
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|------|-------------|------|------|
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| cupfox | 100.110.163.82 | control-plane | amd64 |
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| neon-64gb | 100.64.19.78 | worker (heavy) | arm64 |
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| steamdeck | 100.85.244.73 | worker (gpu) | amd64 |
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| racknerd | 100.80.39.40 | worker (edge) | amd64 |
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### Ollama Inference Serving
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- Host-level deployment on Neon-64GB (bypasses KServe RAM limits)
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- Caddy reverse proxy on racknerd (:8443 → 100.64.19.78:11434)
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- Troubleshooting: autosave.json stale config, passt port interception
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### netcup-vps (ARM64 EPYC)
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NixOS configuration: `4-Infrastructure/netcup-vps/configuration.nix`
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ARM64-optimized packages:
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- openblas, blis, lapack — multi-threaded linear algebra
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- petsc, slepc — sparse/eigenvalue solvers
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- flintqs, pari, gap, singular — number theory / algebra
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- symengine — fast C++ symbolic (SymPy backend)
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- fftw, suitesparse — FFT and sparse direct solvers
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- z3, julia_11 — SMT and JIT numerics
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k3s ports: 6443, 2379, 2380 (firewall updated)
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