Instant neural graphics primitives: lightning fast NeRF and more

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).