The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
Latest Blog
See all posts
Highlights of SGLang at NVIDIA GTC 2026
SGLang came to NVIDIA GTC 2026 with panels, a happy hour, a 200-person meetup, and a hands-on training lab. Three days, five events, one packed week at the center of the LLM ecosystem and left with a ...
Elastic EP in SGLang: Achieving Partial Failure Tolerance for DeepSeek MoE Deployments
To serve massive Mixture-of-Experts (MoE) models efficiently, deploying a "wide" Expert Parallelism (EP) strategy—often spanning 32 GPUs or more per inference instance—is not just an option; it is a n...
ROCm Support for Miles: Large-Scale RL Post-Training on AMD Instinct™ GPUs
Reinforcement learning (RL) has rapidly become a core stage of modern foundation-model development. While large-scale pretraining remains essential, today's most capable models rely heavily on post-tr...
Projects
View all projects
Our Sponsors & Partners
Backed by leading companies and institutions advancing AI research.
Voltage Park, NVIDIA, Nebius, Google Cloud, AtlasCloud, a16z, AMD, InnoMatrix, Laude Institute, Hyperbolic, NovitaAI, Verda Cloud, Sky9, Kaggle, MBZUAI, Together, RunPod, Anyscale, HuggingFace