We’re bringing Korea’s leading open models into production faster! 🏃♂️
New NVIDIA Dynamo deployment recipes support:
✔️ @SKtelecom’s A.X K2
✔️ @LG_AI_Research’s K-EXAONE 2.0
✔️ @UpstageAI’s Solar Open 2
✔️ @Motif_Tech’s Motif-3
These recipes deliver up to 2x inference performance on NVIDIA B200 GPUs.
Get Started With the Newton Learning Path!
Interested in getting hands-on with Newton? The newly released Newton Learning Path will help you set up a ready-to-run environment, dive into Newton abstractions, and show you how to build your first simulation.
Explore the Newton Learning Path: nvda.ws/4BQahEZ
Curious about how AI models learn to understand and interact with the physical world? 🤖
This course at #SIGGRAPHAsia2026 covers the foundations and practical workflows for building physical AI systems, from perception and planning to simulation and beyond.
📅 Wednesday, December 2 | 2:00–5:45 p.m. MYT
Learn more 👉 nvda.ws/4zk2fCF
NVIDIA Asia Pacific retweeted
1 million downloads of SimReady assets on @HuggingFace. 🎉
SimReady assets help teams use 3D content across supported tools and simulation workflows, from robot workcells to AI factory digital twins.
Thank you to everyone experimenting, sharing feedback and building with SimReady assets.
Find assets for your next simulation in SimReady Central: huggingface.co/spaces/nvidia…
At #CiscoLiveAPJC, Luke Boyce, Senior Solution Architect at NVIDIA, explored what it takes to build AI-ready data centers, tackling power, cooling, AI workloads, costs, and how it all comes together with existing infrastructure and operations.
Come check out the NVIDIA demo pods and see it all in action. 👀
New tools for teaching robots new tricks. NVIDIA Isaac Lab 3.0 is here. 🎉
A modular, lightweight architecture brings multi-physics and multi-rendering support, training at scale, and streamlined deployment on real hardware.
Explore Newton integration, the new OVRTX renderer, RL post-training, and LEAPP deployment across the robot learning workflow. 🔗 nvda.ws/4A8KrKU
NVIDIA Asia Pacific retweeted
Today, @Rebellions_inc, @SKtelecom and @NVIDIA announced a collaboration to advance sovereign AI infrastructure with NVIDIA NVLink Fusion.
Sovereign AI requires an entire stack: chips, infrastructure, models and services working together. The collaboration, supported by Korea’s Ministry of Science and ICT, connects domestic semiconductor innovation with sovereign AI infrastructure.
Korean-designed processors. Open, rack-scale infrastructure. A national AI vision to build toward.
Read the Announcement: nvda.ws/4z7oVFy
Turn a single image into a 3D world you can explore with Lyra 2.0.
By combining video generation with 3D reconstruction, our researchers create environments along a camera path you choose. Lyra draws on earlier views and learns to correct accumulating visual errors, helping the world stay consistent as you explore and return to familiar places.
Paper, code, and demos: nv-tlabs.github.io/Project-L…
Day one at #CiscoLiveAPJC Melbourne, and the NVIDIA AI Labs room was packed. 🛠️
Developers got hands-on with a multi-agent healthcare assistant powered by NVIDIA NIM and Nemotron open models, with Splunk Agent Observability and Cisco AI Defense in action.
We're just getting started. Join us at the next NVIDIA AI Labs sessions:
📅 Nov 11 | 11:00 AM–12:15 PM
📅 Nov 12 | 10:00–11:15 AM
See you there!
We expanded the NVIDIA Agent Toolkit to help developers build agents that use company data to answer questions and make predictions, with controls over what agents can access and do.
Watch how @LilaSciences, @Siemens and @Dassault3DS are using AI agents to design potential therapies, plan factory production and refine vehicle designs.
See what’s new → nvda.ws/4BJ7VrE
NVIDIA Asia Pacific retweeted
A warehouse scan. A gas turbine. A kitchen full of SimReady assets. Three starting points for exploring what AI agents can help developers build. 🛠️
The common thread? NVIDIA developers directing frontier AI agents to build with NVIDIA Omniverse libraries, then testing and refining what takes shape.
Swipe through the projects, then read the blog 👉 nvda.ws/4svoQcZ
AI agents that answer residents’ questions. Vision agents that help reduce traffic delays. Digital twins that simulate 15 years of urban forest growth in 10 minutes.
Our partners are building applications for cities with NVIDIA Nemotron, Cosmos and Omniverse, sharing computing resources across departments and municipalities.
Read about the projects → nvda.ws/3V0KXvx
Build Your Own AI Agent 🤖🛠️
Join the Reason, Research, and Act: Build an Enterprise AI Agent hands-on lab at Cisco Live Melbourne and learn how to design, deploy, and secure an enterprise AI agent using NVIDIA AI-Q, Nemotron, and RAG on the Cisco Secure AI Factory with NVIDIA.
💻 Runs entirely in Google Colab. Bring your laptop and a Google account.
📅 Mon, Nov 9 | 1:30–2:45 PM
📅 Tue, Nov 10 | 1:30–2:45 PM
Seats are limited. Register now and secure your spot: nvda.ws/4sNLduu
See you at #CiscoLiveAPJC.
Connect with us at the vLLM Meetup Singapore! 🚀
Join engineers from NVIDIA, Inferact, Alibaba Cloud, and the vLLM-Omni community to explore the latest advances in AI serving, training, agent infrastructure, and real-time inference. Bring your toughest AI serving challenges and connect with the engineers building the stack.
📅 Nov. 13, 2026 | 1:00–5:30 PM SGT
📍 SQ Collective, Singapore
👉 Register free today: nvda.ws/485kH6b
Learn. Explore. Win. 🏭⚡🎒
Join NVIDIA at #CiscoLiveAPJC, Nov 9–12. Attend NVIDIA sessions and hands-on labs covering AI factories, tokenomics, and secure infrastructure for a chance to win an exclusive NVIDIA surprise bag. Winners will be announced live at the event.
📍 Visit us at the NVIDIA Welcome Desk to get started. nvda.ws/4A2StoJ
What does it take to simulate more than rigid bodies? 🤖
Explore open GPU physics, differentiable simulation, and multi-solver workflows for physical AI and robotics with NVIDIA researchers at #SIGGRAPHAsia2026.
Join this full-day workshop to see how these approaches connect simulation with real-world robot learning. 👉 nvda.ws/4zk2fCF
📅 Thursday, December 3 | 9:00–5:00 p.m. MYT
Build practical physical AI workflows one step at a time. Direct an AI coding agent against real NVIDIA SDKs and NVIDIA Omniverse libraries using the Patterned Prompt Method to render OpenUSD scenes, validate SimReady assets, and run real-time physics simulations.
Start the Bootcamp: nvda.ws/4sD1WQM
More than a thousand MGX racks ship per week. 350 factory sites. 30 countries. 300 partners. The NVIDIA MGX ecosystem is built to scale the age of AI agents.
NVIDIA Vera Rubin NVL72 delivers 30x more tokens per watt and per dollar. One giant GPU operating at 3.6 exaFLOPS.
Productive. Durable. Fungible.
Learn more about NVIDIA Vera Rubin NVL72.
nvda.ws/4ehauXS
Explore complete, freely available courses in AI and accelerated computing. Download openly licensed lecture notes, Jupyter notebooks, code samples, lab guides, and more. Then use, modify, and adapt the materials for self-study, classroom curricula, team training, or developer community needs.
Start today with Fundamentals of Deep Learning or Securing Agents With NemoClaw and OpenShell.
Explore Open Source Courses: nvda.ws/48zDDtO
There is still time to submit your poster for #NVIDIAGTC San Jose 2027.
Showcase your cutting-edge technical work or research. Submissions close November 10 at 5 p.m PT.
Here's how to submit: nvda.ws/3UuN3Ui















