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@mrtimothyduong mrtimothyduong commented Oct 29, 2025

as per #670, this is an updated PR from main branch, as I dismissed the previous commits to rebase.

Compounded Implementations / PR:

  • folded/merged 'gpuservice.go' into 'system_handler.go' as per feedback
  • updated both dockerfiles with gcompat & added library pathing for nvidia-smi for all different architectures, testing failed when I re-tested, thus adding library pathing.
  • added examples/compose.agent-gpu-nvidia.yaml for example for agent deployment + Intel/AMD/Nvidia. Please feel free to reject or not.
  • added and updated frontend/src/lib/components/gpu-meter.svelte to use bytes package. Feedback incorporated.
  • updated frontend/src/routes/dashboard/+page.svelte dashboard to update based on if GPU agent is sending data or not. Feedback incorporated.

Testing

  • tested frontend on ubuntu docker host (mrtimothyduong/arcane-gpu-mon:1.7.0-gpu)
  • tested agent (headless) on ubuntu docker host with nvidia gpu (mrtimothyduong/arcane-gpu-mon-agent:1.7.0-gpu)
image

Disclaimer Greptiles Reviews uses AI, make sure to check over its work

Greptile Overview

Updated On: 2025-10-30 00:31:15 UTC

Greptile Summary

This review covers only the changes made since the last review, not the entire PR. This PR implements comprehensive GPU monitoring functionality for Arcane, adding real-time GPU statistics display to the dashboard. The implementation supports multiple GPU vendors (NVIDIA, AMD, Intel) through vendor-specific command-line tools and integrates GPU metrics into the existing WebSocket-based system stats.

Key changes include: GPU detection and stats collection logic in system_handler.go with caching mechanisms, a new GpuMeter Svelte component for dashboard display, Docker image updates with gcompat package for GPU tool compatibility, comprehensive multi-architecture library path configuration, and vendor-specific Docker Compose examples for different GPU deployments. The frontend integration conditionally displays GPU metrics when available and follows existing dashboard patterns for consistency.

Important Files Changed

Filename Score Overview
backend/internal/api/system_handler.go 3/5 Adds comprehensive GPU monitoring with vendor detection, stats collection, and caching - complex logic with potential reliability issues
frontend/src/lib/components/gpu-meter.svelte 4/5 New Svelte5 component for GPU statistics display with proper state management and formatting
frontend/src/routes/dashboard/+page.svelte 4/5 Integrates GPU metrics into dashboard with conditional display and historical tracking
docker/Dockerfile 4/5 Adds gcompat package and extensive library paths for GPU tool compatibility across architectures
docker/Dockerfile-agent 4/5 Similar GPU support additions for agent deployment with comprehensive library path configuration
examples/compose.gpu-nvidia.yaml 5/5 Clean Docker Compose example for NVIDIA GPU deployment with proper runtime configuration
examples/compose.gpu-amd.yaml 4/5 AMD GPU deployment example with correct device passthrough and ROCm environment variables
examples/compose.gpu-intel.yaml 4/5 Intel GPU deployment example using DRI device passthrough
examples/compose.agent-gpu-nvidia.yaml 4/5 Agent-specific NVIDIA GPU deployment configuration
frontend/src/lib/types/system-stats.type.ts 5/5 Clean TypeScript interface additions for GPU statistics with proper optional handling
frontend/messages/en.json 5/5 Simple i18n string additions for GPU meter UI text
docker/Dockerfile-agent-static 4/5 Adds gcompat package for GPU tool compatibility in static builds
docker/Dockerfile-static 4/5 Similar gcompat addition for static frontend builds
.gitignore 5/5 Clean exclusion of development-specific files and compose examples

Confidence score: 3/5

  • This PR introduces complex GPU monitoring functionality that may fail on systems without proper GPU drivers or tools installed
  • Score reflects concerns about error handling robustness in GPU detection logic, potential command execution failures, and lack of comprehensive testing across different GPU vendors and configurations
  • Pay close attention to backend/internal/api/system_handler.go for error handling patterns and potential runtime failures when GPU tools are unavailable

Context used:

  • Context from dashboard - .github/copilot-instructions.md file (source)

@mrtimothyduong mrtimothyduong requested a review from a team as a code owner October 29, 2025 11:05
@kmendell
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14 files reviewed, 10 comments

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@kmendell
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Besides the Greptile feedback it looks good to me. Once thats addressed this should be fine i think.

fix: test sh commands for compose.gpu-*.yaml
fix: addressed system_handler.go gpu percentages
fix: removed redundant code from system_handler.go
fix: removed gpu booleans from system_handler.go
@mrtimothyduong
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mrtimothyduong commented Oct 30, 2025

Need to rebuild and test. I have committed for the time being.

Edit:
Pulled from 1.7.1 main/branch. Deployed and tested internally without issues.

@kmendell
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Looks good to me the last thing ill ask of you instead of the compose examples here, can we put tjem on the website maybe? either way some docuentation surounding this feature would be nice. I am preapring ot leave for a trip here soon, so i am just a little all over the place https://github.com/ofkm/arcane-website

@kmendell kmendell requested a review from a team as a code owner November 4, 2025 19:09
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2 participants