NVIDIA's Transformer Engine is detailed in a tutorial that explains how to accelerate transformer workloads. The engine combines fused GPU kernels, BF16 computation, and hardware-aware FP8 execution. The tutorial covers installation, GPU capability detection for TE kernels and FP8 tensor cores, and a PyTorch fallback path. It also examines core fused components and configures a delayed-scaling FP8 recipe for managing tensor scaling and formats. AI
IMPACT Enables faster and more efficient training of large language models by leveraging specialized hardware and software optimizations.
RANK_REASON Tutorial on using a specific NVIDIA software feature for LLM training.
- bfloat16
- Fp8
- generative pre-trained transformer
- graphics processing unit
- NVIDIA
- PyTorch
- Transformer Engine
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