ModelsHardware & Inference 🇺🇸 12.08.2026 00:03

LTX-2.5 Launch: NVIDIA-Accelerated Open Weights World Model for Local Video Production

LTXLTX NVIDIANVIDIA Google/DeepMindGoogle/DeepMind xAIxAI
LTX has released LTX-2.5, an open weights world model for video generation optimized for local inference on NVIDIA RTX GPUs and DGX Spark. The model enables fast, consistent multishot video generation on a single desktop, with on-prem speed significantly faster than closed alternatives. The release aligns with NVIDIA's local AI series, which also introduced the Nemotron 3.5 Lightning agent model.
LTX launched LTX-2.5, an open weights world model for video generation, real-time applications, and physical AI, optimized to run locally on NVIDIA RTX GPUs and DGX Spark, reducing VRAM requirements. It features native multishot generation for character consistency, a new decoder reducing artifacts, and a Gemma 4 language backbone. Benchmarks show a 10-second clip generated in 6.8 seconds on 2x NVIDIA GB200, compared to 52-70 seconds for fastest closed alternatives and up to 398 seconds for slower ones. NVIDIA's local AI series also includes Nemotron 3.5 Lightning, an open 30B mixture-of-experts model, and NeMo Switchyard library. LTX-2.5 is available as open weights on Hugging Face, natively in ComfyUI, and via LTX API, free for organizations under $10M annual recurring revenue. The model family has over 33 million downloads, with applications cited in film studios like Asteria, real-time platforms like Reactor, and robotics with Markov Robotics.
Abbreviations
GPU = Graphics Processing Unit — графический процессор
VRAM = Video Random Access Memory — видеопамять
API = Application Programming Interface — программный интерфейс приложения
A/B = A/B testing — A/B-тестирование
MoE = Mixture of Experts — смесь экспертов
LLM = Large Language Model — большая языковая модель
IP = Intellectual Property — интеллектуальная собственность
ARR = Annual Recurring Revenue — годовой повторяющийся доход
Source: MarkTechPost — original
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