๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

NVIDIA AI Infrastructure
@NVIDIAAIInfra
AI factories for the era of AI reasoning.
๊ฐ€์ž… November 2009
1.7K ํŒ”๋กœ์ž‰ ์ค‘    73.3K ํŒฌ
๐Ÿ’ก Continuous software innovation is the force multiplier behind AI infrastructure โ€” compounding inference performance, lowering cost per token, and increasing long-term value with every optimization. Open source accelerates this advantage. Leading AI frameworks like @PyTorch and inference engines such as @sgl_project and @vllm_project are built natively on NVIDIA CUDA, enabling research breakthroughs and software optimizations to unlock great performance on NVIDIA GPUs from day zero.
๋” ๋ณด๊ธฐ