Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking
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Discover how to optimize transformer workloads using the NVIDIA Transformer Engine. This tutorial guides you through configuring fused GPU kernels, implementing FP8 delayed scaling, and benchmarking model performance. Learn to build and train efficient GPT-style causal language models in PyTorch with practical code examples and performance analysis.
1Key Takeaways
- Discover how to optimize transformer workloads using the NVIDIA Transformer Engine.
- This tutorial guides you through configuring fused GPU kernels, implementing FP8 delayed scaling, and benchmarking model performance.
- Learn to build and train efficient GPT-style causal language models in PyTorch with practical code examples and performance analysis.
2AIWedia Score
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3Why it matters
New model releases change what is possible for builders, researchers, and everyday AI users. MarkTechPost reports that discover how to optimize transformer workloads using the NVIDIA Transformer Engine.
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