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

Ruilong Li
@ruilong_li
๊ฐ€์ž… August 2019
397 ํŒ”๋กœ์ž‰ ์ค‘    5.2K ํŒฌ
World models are moving beyond offline generation towards interactive, real-time experiences. Introducing โšกFlashDreamsโšก: an open-source high-performance inference and serving library built for autoregressive world models: ๐Ÿ”ฅ Up to 3.10ร— faster LingBot-World inference ๐Ÿ”ฅ Up to 2.12ร— faster Self-Forcing inference ๐Ÿ”ฅ Up to 1.40ร— faster Wan2.1 inference ๐Ÿ”ฅ 8 integrated models ๐Ÿ”ฅ Multi-GPU, streaming, low-latency serving ๐Ÿ”ฅ Agentic skills that teach you how to use it FlashDreams is designed for a new generation of AI systems that continuously evolve over time while responding to user interactions. It powers applications across robotics, autonomous vehicle simulation, gaming, and virtual worlds. Github: Docs: Research page: Join the #flashdreams# Discord channel at FlashDreams is also the runtime backbone behind NVIDIA OmniDreams ( 1/n #AI# #WorldModels# #FastInference# #PhysicalAI# #OpenSource# #NVIDIA#
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