repowisenvidia/dgxc-benchmarking

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nvidia / dgxc-benchmarking

DGXC Benchmarking provides recipes in ready-to-use templates for evaluating performance of specific AI use cases across hardware and software combinations.

Python88github.com/nvidia/dgxc-benchmarking
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Files indexed
184
Symbols
400
Languages
5
Packages
2

Languages

  • python32.1%
  • markdown21.7%
  • yaml21.7%
  • shell21.2%
  • toml3.3%

Explore nvidia/dgxc-benchmarking

Overview

Files, symbols, languages, packages, git intelligence

Dependency graph

Interactive view of how files import each other

Hotspots

Files with the most churn and co-change risk

Ownership

Bus-factor and per-file maintainer maps

Decisions

Architectural decisions extracted from commits and PRs

Dead code

Unreachable symbols and unused exports

AI docsPro

Module-by-module documentation generated from source

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Ask grounded questions over the indexed code

Key modules2

  • llmb-install

    cli/llmb-install

    python

  • llmb-run

    cli/llmb-run

    python

Entry points2

  • cli/llmb-install/src/llmb_install/__main__.py
  • cli/llmb-run/src/llmb_run/main.py

How nvidia/dgxc-benchmarking works

DGXC Benchmarking provides recipes in ready-to-use templates for evaluating performance of specific AI use cases across hardware and software combinations. This page is an auto-generated, always-fresh map of the nvidia/dgxc-benchmarking repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 184 source files, 400 symbols, and 5 languages, structured as a monorepo with 2 packages. Git churn analysis flags 22 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 138 tightly-coupled module communities.

Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.