Split Tesla K80 workflows into build and test; add test framework plan

- Changed tesla-k80-ci.yml to manual trigger only, simplified to build-only workflow
- Created tesla-k80-tests.yml for separate test execution (manual trigger)
- Added .github/workflows/CLAUDE.md with comprehensive test framework design
- Removed binary artifact upload (not needed for single self-hosted runner)
- Replaced README.md with CLAUDE.md for better documentation structure

Test framework plan:
- Go-based test runner at cmd/test-runner/
- YAML configuration for multi-model testing
- Server lifecycle management with log monitoring
- API-based testing with structured reporting
- Support for test profiles (quick/full/stress)

.github/workflows/tesla-k80-ci.yml

@@ -1,11 +1,7 @@
 name: Tesla K80 Build and Test
 
 on:
-  push:
-    branches: [main, develop]
-  pull_request:
-    branches: [main]
-  workflow_dispatch: # Allow manual trigger
+  workflow_dispatch: # Manual trigger only
 
 jobs:
   build-and-test:
@@ -29,157 +25,15 @@ jobs:
 
       - name: Configure CMake
         run: |
-          cmake -B build
+          CC=/usr/local/bin/gcc CXX=/usr/local/bin/g++ cmake -B build
         env:
           CMAKE_BUILD_TYPE: Release
 
       - name: Build C++/CUDA components
         run: |
-          cmake --build build --config Release
+          CC=/usr/local/bin/gcc CXX=/usr/local/bin/g++ cmake --build build -j$(nproc)
         timeout-minutes: 30
 
       - name: Build Go binary
         run: |
           go build -v -o ollama .
-
-      - name: Verify binary
-        run: |
-          ls -lh ollama
-          file ollama
-          ./ollama --version
-
-      - name: Run Go unit tests
-        run: |
-          go test -v -race -timeout 10m ./...
-        continue-on-error: false
-
-      - name: Start ollama server (background)
-        run: |
-          ./ollama serve > ollama.log 2>&1 &
-          echo $! > ollama.pid
-          echo "Ollama server started with PID $(cat ollama.pid)"
-
-      - name: Wait for server to be ready
-        run: |
-          for i in {1..30}; do
-            if curl -s http://localhost:11434/api/tags > /dev/null 2>&1; then
-              echo "Server is ready!"
-              exit 0
-            fi
-            echo "Waiting for server... attempt $i/30"
-            sleep 2
-          done
-          echo "Server failed to start"
-          cat ollama.log
-          exit 1
-
-      - name: Run integration tests
-        run: |
-          go test -v -timeout 20m ./integration/...
-        continue-on-error: false
-
-      - name: Clear server logs for model test
-        run: |
-          # Truncate log file to start fresh for model loading test
-          > ollama.log
-
-      - name: Pull gemma3:4b model
-        run: |
-          echo "Pulling gemma3:4b model..."
-          ./ollama pull gemma2:2b
-          echo "Model pull completed"
-        timeout-minutes: 15
-
-      - name: Run inference with gemma3:4b
-        run: |
-          echo "Running inference test..."
-          ./ollama run gemma2:2b "Hello, this is a test. Please respond with a short greeting." --verbose
-          echo "Inference completed"
-        timeout-minutes: 5
-
-      - name: Wait for logs to flush
-        run: sleep 3
-
-      - name: Analyze server logs with Claude
-        run: |
-          echo "Analyzing ollama server logs for proper model loading..."
-
-          # Create analysis prompt
-          cat > log_analysis_prompt.txt << 'EOF'
-          Analyze the following Ollama server logs from a Tesla K80 (CUDA Compute Capability 3.7) system.
-
-          Verify that:
-          1. The model loaded successfully without errors
-          2. CUDA/GPU acceleration was properly detected and initialized
-          3. The model is using the Tesla K80 GPU (not CPU fallback)
-          4. There are no CUDA compatibility warnings or errors
-          5. Memory allocation was successful
-          6. Inference completed without errors
-
-          Respond with:
-          - "PASS" if all checks pass and model loaded properly with GPU acceleration
-          - "FAIL: <reason>" if there are critical issues
-          - "WARN: <reason>" if there are warnings but model works
-
-          Be specific about what succeeded or failed. Look for CUDA errors, memory issues, or CPU fallback warnings.
-
-          Server logs:
-          ---
-          EOF
-
-          cat ollama.log >> log_analysis_prompt.txt
-
-          # Run Claude in headless mode to analyze
-          claude -p log_analysis_prompt.txt > log_analysis_result.txt
-
-          echo "=== Claude Analysis Result ==="
-          cat log_analysis_result.txt
-
-          # Check if analysis passed
-          if grep -q "^PASS" log_analysis_result.txt; then
-            echo "✓ Log analysis PASSED - Model loaded correctly on Tesla K80"
-            exit 0
-          elif grep -q "^WARN" log_analysis_result.txt; then
-            echo "⚠ Log analysis has WARNINGS - Review needed"
-            cat log_analysis_result.txt
-            exit 0  # Don't fail on warnings, but they're visible
-          else
-            echo "✗ Log analysis FAILED - Model loading issues detected"
-            cat log_analysis_result.txt
-            exit 1
-          fi
-
-      - name: Check GPU memory usage
-        if: always()
-        run: |
-          echo "=== GPU Memory Status ==="
-          nvidia-smi --query-gpu=memory.used,memory.total --format=csv
-
-      - name: Stop ollama server
-        if: always()
-        run: |
-          if [ -f ollama.pid ]; then
-            kill $(cat ollama.pid) || true
-            rm ollama.pid
-          fi
-          pkill -f "ollama serve" || true
-
-      - name: Upload logs and analysis
-        if: always()
-        uses: actions/upload-artifact@v4
-        with:
-          name: ollama-logs-and-analysis
-          path: |
-            ollama.log
-            log_analysis_prompt.txt
-            log_analysis_result.txt
-            build/**/*.log
-          retention-days: 7
-
-      - name: Upload binary artifact
-        if: success()
-        uses: actions/upload-artifact@v4
-        with:
-          name: ollama-binary-${{ github.sha }}
-          path: ollama
-          retention-days: 14