NVIDIA said on March 16, 2026 that Dynamo 1.0 is entering production as open source software for generative and agentic inference at scale. The company says the stack can raise Blackwell inference performance by up to 7x and is already supported across major cloud providers, inference platforms, and AI-native companies.
Mistral AI said on March 16, 2026 that it is entering a strategic partnership with NVIDIA to co-develop frontier open-source AI models. A linked Mistral post says the effort begins with Mistral joining the NVIDIA Nemotron Coalition as a founding member and contributing large-scale model development plus multimodal capabilities.
Roche says it is deploying more than 3,500 NVIDIA Blackwell GPUs across hybrid cloud and on-premises sites in the U.S. and Europe. The company says the new AI factory backbone will support biological foundation models, faster drug discovery, digital twins for manufacturing, and broader AI use across diagnostics and digital health.
Nvidia's March 16, 2026 DLSS 5 reveal drew a widely shared critique from Digital Foundry's John Linneman, who praised the environmental lighting upside while warning that the character rendering looked far too invasive.
A high-signal LocalLLaMA thread on March 15, 2026 focused on a license swap for NVIDIA’s Nemotron model family. Comparing the current NVIDIA Nemotron Model License with the older Open Model License shows why the community reacted: the old guardrail-termination clause and Trustworthy AI cross-reference are no longer present, while the newer text leans on a simpler NOTICE-style attribution structure.
A LocalLLaMA thread amplified Phoronix coverage of GreenBoost, an experimental GPLv2 Linux module that adds a multi-tier memory path for NVIDIA GPUs. The design pairs a kernel module with a CUDA shim so large allocations can spill from limited on-card vRAM into pinned system RAM and NVMe-backed storage without modifying CUDA applications.
A March 15, 2026 LocalLLaMA post pointed to Hugging Face model-card commits and NVIDIA license pages showing Nemotron Super 3 models moving from the older NVIDIA Open Model License text to the newer NVIDIA Nemotron Open Model License.
NVIDIA introduced Nemotron 3 Super on March 11, 2026 as an open 120B-parameter model built for agentic AI systems. The company says the model tackles long-context cost and reasoning overhead with a 1M-token window, hybrid MoE design and up to 5x higher throughput.
NVIDIA and Thinking Machines Lab said on March 10, 2026 that they will deploy at least one gigawatt of next-generation NVIDIA Vera Rubin systems under a multiyear partnership. The agreement also covers co-design of training and serving systems plus an NVIDIA investment in Thinking Machines Lab.
NVIDIA's new Nemotron 3 Super pairs a 120B total / 12B active hybrid Mamba-Transformer MoE with a native 1M-token context window and open weights, datasets, and recipes. LocalLLaMA discussion centered on whether those openness and efficiency claims translate into realistic home-lab deployments.
NVIDIA AI Developer introduced Nemotron 3 Super on March 11, 2026 as an open 120B-parameter hybrid MoE model with 12B active parameters and a native 1M-token context window. NVIDIA says the model targets agentic workloads with up to 5x higher throughput than the previous Nemotron Super model.
NVIDIAAI says it is partnering with Thinking Machines to deploy at least 1 gigawatt of NVIDIA Vera Rubin systems for frontier AI training. Thinking Machines frames the partnership as infrastructure for both frontier model training and platforms for customizable AI.