brsmi

Monitor, configure, and troubleshoot GPU hardware in data center environments.

Updated Aug 27, 2026

Search Tags:#performance #monitoring #troubleshooting #configuration #gpu #management

Ready to run

npx skills add https://github.com/dongg622/china-ai-chip-skill --skill brsmi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: brsmi
Source: https://github.com/dongg622/china-ai-chip-skill/tree/main/BIREN/brsmi
Command: npx skills add https://github.com/dongg622/china-ai-chip-skill --skill brsmi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides comprehensive GPU management capabilities, enabling users to monitor, configure, and troubleshoot GPU environments efficiently.

Core Features & Use Cases

GPU Monitoring: View real-time status, temperature, power, ECC errors, and utilization metrics.
Configuration & Control: Set compute modes, enable persistent mode, adjust clock frequencies, and manage SVI settings.
Troubleshooting: Diagnose hardware issues, reset GPU states, and inspect topology/topology connections.
Use Case: An engineer can perform quick health checks on multiple GPUs in a cluster, adjust settings for optimal performance, and troubleshoot errors for maintenance.

Quick Start

Query all GPU statuses, reset ECC counters, or switch compute modes directly through succinct commands.

Frequently Asked Questions about brsmi

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor real-time GPU status and utilization metrics in a data center cluster?▼

Monitor real-time GPU status by viewing temperature, power draw, ECC errors, and utilization metrics. This toolkit enables quick health checks across multiple GPUs to track hardware states effectively in high-performance computing environments.

What's the best way to troubleshoot GPU hardware issues and reset ECC error counters?▼

Troubleshoot GPU hardware issues by diagnosing detailed errors and resetting ECC error counters. You can reset GPU states and inspect topology connections to identify and resolve maintenance problems in data center clusters.

Do I need root-level access to adjust GPU configuration settings like clock frequencies and compute modes?▼

Yes, adjusting GPU configuration settings such as compute modes, clock frequencies, and persistent modes requires root-level access. Demanding knowledge of GPU hardware states, these configuration changes ensure safe and effective resource management.

How does GPU topology inspection work for high-performance computing environments?▼

GPU topology inspection works by mapping hardware connections and states across multiple devices. It allows engineers to inspect topology connections to diagnose performance bottlenecks and ensure optimal resource allocation in computing clusters.

Why does my GPU configuration require persistent mode and how do I enable it?▼

Enabling persistent mode keeps the GPU initialized even when no applications are actively using it, reducing latency. You can enable persistent mode and adjust SVI settings through succinct configuration commands to optimize performance.

Can I use this toolkit to manage both GPU monitoring and configuration adjustments simultaneously?▼

Yes, you can manage both GPU monitoring and configuration adjustments simultaneously. The toolkit provides tools for real-time monitoring alongside configuration controls for compute modes, clock frequencies, and troubleshooting in one environment.