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- Detailed discussion topics overview
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Classroom Contents
Comprehensive GPU Benchmarking and FP8 Format Analysis for LLM Performance
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- 1 - Introduction to GPU benchmarking test
- 2 - Test methodology and parameters
- 3 - Results: Time to first token
- 4 - Results: Token generation throughput
- 5 - Results: Price per million tokens
- 6 - Analysis of results ordering and trends
- 7 - Detailed discussion topics overview
- 8 - Why FP8 format is beneficial
- 9 - Technical explanation of FP8
- 10 - Comparison of different floating point formats
- 11 - GPU architecture support for FP8
- 12 - How FP8 works on different GPU architectures
- 13 - Live demonstration with RTX 3090
- 14 - SGLang vs vLLM comparison
- 15 - Caveats and limitations of benchmarking
- 16 - How to create FP8 models
- 17 - Using LLM Compressor for quantization
- 18 - Evaluating quantized models
- 19 - Conclusion and resources
