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https://github.com/NVIDIA/dgx-spark-playbooks.git
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2d52e1aab3
This playbook installs the DGX Spark MCP Server, a tool for hardware-aware Spark optimization on DGX systems. Includes: - Installation script (npm based) - Systemd service configuration - Default configuration - Documentation
34 lines
634 B
JSON
34 lines
634 B
JSON
{
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"server": {
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"port": 3000,
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"host": "localhost",
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"nodeEnv": "production"
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},
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"logging": {
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"level": "info",
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"format": "json",
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"dir": "/var/log/dgx-spark-mcp",
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"maxFiles": 10,
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"maxSize": "10m"
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},
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"mcp": {
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"serverName": "dgx-spark-mcp",
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"serverVersion": "0.1.0",
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"transport": "stdio"
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},
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"hardware": {
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"nvidiaSmiPath": "/usr/bin/nvidia-smi",
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"cacheTTL": 30000,
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"enableGpuMonitoring": true
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},
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"spark": {},
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"performance": {
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"enableMetrics": true,
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"metricsInterval": 60000,
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"healthCheckInterval": 30000
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},
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"security": {
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"enableAuth": false
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}
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}
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