> ## Documentation Index
> Fetch the complete documentation index at: https://docs.visent.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Benchmark Guide

> Complete guide to running GPU benchmarks and performance tests with Visent Forge

# Benchmark Guide

Learn how to run comprehensive GPU benchmarks with Visent Forge, from basic performance tests to advanced multi-GPU configurations. This guide covers benchmark selection, configuration, execution, and results interpretation.

Designed for both quick performance checks and detailed analysis for optimization and hardware validation.

## Getting Started

Coming soon - initial setup and first benchmark execution.

## Benchmark Categories

### Machine Learning Benchmarks

```bash theme={null}
# Run ML training benchmark
visent forge benchmark ml-training \
  --model resnet50 \
  --batch-size 32 \
  --iterations 100

# Run inference benchmark
visent forge benchmark ml-inference \
  --model bert-large \
  --input-size 512
```

### Scientific Computing

Coming soon - HPC and scientific workload benchmarks.

### Graphics and Rendering

Coming soon - graphics performance and rendering benchmarks.

### Memory and Storage

Coming soon - memory bandwidth and storage I/O tests.

## Configuration Options

### Basic Configuration

Coming soon - standard benchmark configuration options.

### Advanced Settings

Coming soon - advanced configuration for specialized testing.

### Multi-GPU Testing

Coming soon - benchmarking across multiple GPUs and nodes.

## Running Benchmarks

Coming soon - step-by-step execution guide with examples.

## Results Interpretation

Coming soon - understanding benchmark results and performance metrics.

## Best Practices

Coming soon - recommended practices for accurate and reproducible benchmarks.

## Troubleshooting

Coming soon - common benchmark issues and solutions.

## Next Steps

* [Explore CLI reference](cli-reference) for all available commands
* [Understand report formats](report-format) for results analysis
* [Learn performance tuning](performance-tuning) techniques