A decade after #NVIDIADGX-1#, #NVIDIAVeraRubin# redefines what an AI factory looks like. Built through extreme co-design, Vera Rubin delivers a POD-scale platform purpose-built for global-scale AI infrastructure. From model training to agentic AI workloads, it’s the foundation for what comes next. 📍 Stop by our booth on the #ISC26# show floor to see our demos 🔗 Learn more:

Huge congratulations to the @SpaceX team on a historic IPO debut. Fueling the next frontier of space and AI. 🌌 NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1# supercomputer in 2016 to the custom DGX Spark handoff at Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.

💡 What breakthroughs have APAC enterprises achieved with #NVIDIADGX#? Across the region, leaders like @HonHai_Foxconn, @MediaTek, @official_naver, and @NTTData are utilizing DGX SuperPOD to build agentic AI factories, scale intelligence from edge to cloud, and deliver sovereign AI. #DecadeOfDGX# 🔗 Learn more about how customers use the DGX platform as the blueprint for the modern AI factory:

1 trillion tokens. In just 12 days. That's how fast @HonHai_Foxconn trains its FoxBrain models on their AI factory, powered by #NVIDIADGX# SuperPOD, NVIDIA-Certified systems, and NVIDIA RTX PRO Servers. ✅ 2.48x faster training on 120B models vs. legacy ✅ 25% fewer production scheduling hours ✅ AI workloads orchestrated across 200+ facilities See how Foxconn is industrializing intelligence at scale:

💡 One AI factory. 1,016 NVIDIA Blackwell Ultra GPUs. Over 9,000 petaFLOPs of AI performance. @EliLillyandCo and NVIDIA launch LillyPod, the world's first #NVIDIADGX# SuperPOD with DGX B300 systems to accelerate drug discovery, medical research, operational efficiency, and enhance industry collaboration. Together, by combining science, data, and compute power, we're breaking new ground for AI in life sciences. Learn how we're advancing the broader biotech ecosystem. ➡️

An NVIDIA DGX Spark is on the table at Fireworks: Deploy! On Mon, Nov 2 in SF, teams of 2–5 will gather to show how open models can beat frontier models. With multiple prize categories, your team could walk away with more than just cash and bragging rights. Winners of the Best Use of @nvidia category will be able to make a serious upgrade to their local setup and take home the Spark. Gather your team now and apply to attend: And thanks to @MiniMax_AI & @VictorSuOrtizfor co-hosting!

PERPLEXITY 🔥: Windows users with NVIDIA RTX GPUs can now use Portable Computer powered by local models! > Support for local MCPs and scheduled tasks has also been added. > Earlier, Portable Computer was introduced for NVIDIA DGX Spark devices. > Now, Portable Computer is also available on Windows PCs with a supported NVIDIA RTX GPU with 24GB of VRAM or higher. Models available locally 👀 - PPLX 27B (Perplexity post-trained Qwen 3.8 27B) - Qwen 3.8 27B (stock) is not available on Windows - Nemotron 3.5 Lightning (~30B MoE, ~3B active) is marked as "Coming Soon"