---
title: siltide — AI server management
date: 2026-10-18
time: 12:00
model: admin
category: programs
author_type: human
summary: An AI server management tool that provides integrated monitoring of GPU·NPU·accelerator utilization, temperature, and power.
tags: program, AI server management, siltide
---

AI server management tool that integrates monitoring of multiple types of accelerators such as GPU·NPU and visualizes utilization·temperature·power in real time.

## Basic information

| Program name | siltide |
| --- | --- |
| One-line introduction | AI server management tool that integrates monitoring of multiple types of accelerators such as GPU·NPU and visualizes utilization·temperature·power in real time. |
| Development & maintenance | siltide project |
| Official website | https://siltide.io/ |
| Official documentation | https://siltide.io/docs/ |
| Official download | https://siltide.io/downloads |
| Supported operating systems | Linux (NVIDIA GPU, AMD ROCm, Intel oneAPI) |
| License | Apache-2.0 |
| Stable version | 0.9.2 (released 2026-09-20) — checked on 2026-10-18 |
| GitHub repository | https://github.com/moezdil/siltide |
| Category | AI server management (tags: GPU, NPU, accelerator, monitoring, AI server) |

## What is this program?

siltide is an AI server management tool that monitors GPUs and NPUs from different vendors such as NVIDIA, AMD, and Intel on a single screen. It collects each accelerator's utilization, memory usage, temperature, and power consumption in real time and provides them as graphs and alerts.

In AI training and inference servers, a bottleneck in a single accelerator often blocks the entire pipeline. siltide visually shows load imbalances across multiple accelerators and automatically detects and alerts on hotspots (overload and overheating).

## What problems does it solve?

- ('In AI training server management', 'when utilization across multiple GPUs is uneven', 'you can compare each accelerator's util graphs to identify the bottleneck GPU.')
- ('In overheating and power management', 'when temperature and power approach thresholds', 'you can respond before throttling with real-time alerts.')
- ('In hardware compatibility checks', 'when you need to see which accelerators are installed in the server', 'it displays the GPU and NPU list and driver and CUDA/ROCm versions at once.')
## Key features

### Unified dashboard

Monitor NVIDIA, AMD, and Intel accelerators from a single dashboard

- **Use case**: In mixed hardware environments
- **Result**: Unified visualization without vendor-specific tools
- **Limitations**: Some newer accelerators may not be supported yet.
### Real-time alerts

Sends alerts when util, temperature, or power thresholds are exceeded

- **Use case**: Preventing overheating during long training runs
- **Result**: Preventing throttling and downtime in advance
- **Limitations**: Requires configuring alert channels (Slack or webhook).
### Load analysis

Automatically detects utilization deviation across accelerators

- **Use case**: Analyzing bottlenecks in training and inference pipelines
- **Result**: Contrasts low-load GPUs and overloaded GPUs graphically
- **Limitations**: Analysis accuracy depends on the sampling interval.
### Resource snapshot

Saves accelerator state at a specific point in time as a snapshot

- **Use case**: Failure analysis and reproduction
- **Result**: You can compare and analyze snapshots later
- **Limitations**: Snapshot retention period depends on configuration.
## Installation and usage

### Linux (NVIDIA)

Install with pip in an environment where CUDA 12.x or later is installed.

```
pip3 install siltide
siltide --version
```

### Linux (AMD ROCm)

Install in a ROCm 6.x environment.

```
pip3 install siltide[rocm]
ROCM_PATH=/opt/rocm siltide --detect
```

### Linux (source)

Building from source requires Python 3.10+ and Go 1.21+.

```
git clone https://github.com/siltide-dev/siltide
cd siltide
make build
sudo make install
```

## Real-world usage examples

### Accelerator detection

Check the accelerators installed in the server and their driver versions.

```
$ siltide --detect

[detected] NVIDIA A100-SXM4-80GB  (CUDA 12.6, Driver 560.35)
[detected] NVIDIA A100-SXM4-80GB  (CUDA 12.6, Driver 560.35)
[detected] Intel Data Center GPU Max 1550  (oneAPI 2025.1)
[summary] 3 accelerators found
```

### Real-time monitoring dashboard

Open the web dashboard to view real-time util, temperature, and power.

```
$ siltide --dashboard --port 9100
# browser http://localhost:9100
# GPU0: util 87% · 61°C · 380W
# GPU1: util 92% · 64°C · 402W
# NPU0: util 34% · 48°C · 120W
```

### Threshold alert configuration

Set util and temperature thresholds to receive alerts when they are exceeded.

```
$ siltide --alert --max-temp 80 --max-util 95 --webhook https://hooks.example.com/alert
# [alert] GPU1 util 96% > 95% (webhook sent)
```

## Advantages and limitations

### Advantages

- Unified monitoring of NVIDIA, AMD, and Intel accelerators with a single tool
- Provides a real-time dashboard plus threshold alerts
- Supports training bottleneck analysis through automatic load deviation detection
- Lightweight agent architecture minimizes load on training servers
### Considerations before use

- As an early version (0.9.x), support for some newer accelerators may be limited.
- NPU (Intel and AMD) support has fewer features compared to GPU support.
- Alert channels (Slack or webhook) must be configured separately.
## Comparison with similar programs

| Program | Features | Best suited for |
| --- | --- | --- |
| nvidia-smi | NVIDIA GPU-only CLI monitoring | Single-vendor NVIDIA environment |
| rocm-smi | AMD ROCm GPU-only CLI monitoring | Single-vendor AMD environment |
| DCGM (NVIDIA) | NVIDIA data center GPU management and monitoring framework | Large-scale NVIDIA fleets, environments requiring DCGM-based monitoring |

## Official resources and further learning

- [Official website](https://siltide.io/) — https://siltide.io/
- [Official documentation / knowledge base](https://siltide.io/docs/) — https://siltide.io/docs/
- [Official download](https://siltide.io/downloads) — https://siltide.io/downloads
- [Release notes](https://siltide.io/changelog) — https://siltide.io/changelog
- [Source / development resources](https://github.com/moezdil/siltide) — https://github.com/moezdil/siltide
Version and supported environment information was confirmed on the official site as of 2026-10-18. Installation commands may vary depending on your distribution and version, so please also check the official installation documentation.

## Actual execution screen

The screen below is a synthetic example created to help understand the usage flow (not an actual execution result). The screen is a synthetic example and not an actual execution result.

![siltide accelerator detection and dashboard example: detected 2 NVIDIA A100s and 1 Intel GPU Max](https://games.aidebatehub.com/assets/siltide-demo.png)

Real production server

---
Source (HTML): https://games.aidebatehub.com/programs/apps/aiserver/siltide.html
This file is an auto-generated Markdown twin of the DevHub document.