As always, Nemotron 3 Ultra is fully open. This includes model weights, synthetic data, and post-training recipes. Available now on @huggingface →
@nvidiaai
-
NVIDIA post-trains Ultra for popular agent harnesses
By
–
We post-trained Ultra for popular agent harnesses like @openclaw
, @NousResearch Hermes Agent, and @Langchain
. The result is an open frontier model developers can customize for specialized agents across domains. Read more: https://
nvda.ws/4adkn6J -
Ultra excels at large codebases, long reasoning chains, and multi-source synthesis
By
–
Beyond benchmark performance, Ultra can work through large codebases, reason across long chains of tool calls, and synthesize information gathered from hundreds of sources. pic.twitter.com/itDu34WVHk
— NVIDIA AI (@NVIDIAAI) 4 juin 2026Beyond benchmark performance, Ultra can work through large codebases, reason across long chains of tool calls, and synthesize information gathered from hundreds of sources.
-
Nvidia AI Ultra model excels at complex tasks with hybrid architecture
By
–
Ultra excels at complex tasks like coding and deep research. Long-running agents spend their time planning, using tools, recovering from failures, and deciding what to do next. The model’s hybrid Mamba-Transformer MoE architecture enables more reasoning cycles within the same
-
Nvidia Nemotron 3 Ultra: 550B MoE open frontier model
By
–
Today we're shipping Nemotron 3 Ultra.
— NVIDIA AI (@NVIDIAAI) 4 juin 2026
A 550B MoE frontier-intelligence open model built for long-running agents.
It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models. pic.twitter.com/FEXqvfzQFOToday we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
-
OpenShell v0.0.55 adds Vertex AI support and policy visibility
By
–
OpenShell v0.0.55 Google Vertex AI inference provider Profile-backed policy visibility Better Podman detection in the gateway Restored GPU procfs baseline behavior CI and docs fixes Run agents against Vertex AI, with improved policy visibility and more
-
NemoClaw on DGX Spark: AI agent from unboxing in minutes
By
–
From unboxing to AI agent in minutes. Getting an agent running used to mean sourcing a model, configuring an inference backend, installing a runtime, and wiring it all together. The new NemoClaw install path on DGX Spark replaces that with a single command. DGX Spark also
-
Vision-Language Reasoning for Physical World Understanding
By
–
Vision-Language Reasoning: Reason through the physical world. pic.twitter.com/VHxJEJZQrz
— NVIDIA AI (@NVIDIAAI) 2 juin 2026Vision-Language Reasoning: Reason through the physical world.
-
Self-Evolving Hermes Agents: Enterprise AI That Improves with Use
By
–
Self-Evolving Hermes Agents: Enterprise AI That Gets Better With Use | Nemotron Labs
