NVIDIA HPC Developer

🎉 "This is the 20th anniversary of CUDA. We have been working on this architecture for 20 years ... to now have built up hundreds of millions of GPUs and computing systems around the world that run CUDA."

A bold bet on parallel computing paved the way for the AI revolution. We honor 20 years of #CUDA and thank the 6 million architects who turned a programming model into a global foundation for innovation. 💚 🔗 nvda.ws/4bQym3A

We are breaking the quantum chemistry bottleneck in semiconductor design with the launch of NVIDIA cuEST, a CUDA-X library that delivers up to a 55x performance boost for electronic-structure calculations. 🧬⚛️ Initial adopters including @Applied4Tech, @Samsung, TSMC, and @Synopsys are using these GPU-accelerated algorithms to simulate the atomic-scale physics of next-generation chips. 🔗 nvda.ws/3P4h2zr

Space computing, the final frontier, has arrived 🛰️ #NVIDIAGTC news: NVIDIA is collaborating with @AetherfluxUSA, @Axiom_Space, @KeplerComms, @planet, Sophia Space and Starcloud to bring AI and accelerated computing to space, powering geospatial intelligence and autonomous space operations. 🔗 nvda.ws/4dgwkLh

@binokrisvaldy @NVIDIAAIDev We got you Bro. Shelly says "hello." @Baxate

@NVIDIAHPCDev @NVIDIAAIDev Bro another pic of shelly when ?

🎉 "This is the 20th anniversary of CUDA. We have been working on this architecture for 20 years ... to now have built up hundreds of millions of GPUs and computing systems around the world that run CUDA."

NVIDIA CEO Jensen Huang is delivering a live keynote from SAP Center at #NVIDIAGTC Join us as Jensen shares what’s next in AI. Watch Now: nvda.ws/4rC7DfX

Jensen just stopped by GTC Live ✨ on the way to his keynote coming up at 11 a.m. PT. Tune in to the keynote pregame, leading into the main event starting soon: nvda.ws/4lx8m0w 🗞️ Keep up with live event updates on the rolling blog: nvda.ws/4uvTMdx

We’re going live at #NVIDIAGTC in 30 minutes. ⏱️ Join us for GTC Live at 8 a.m. PT as we get ready for Jensen Huang's keynote 11 a.m. Featuring industry leaders from: @bfl_ml, @Cadence, @CaterpillarInc, @cohere, @CoreWeave, @DellTech, @EdisonSci, @FireworksAI_HQ, @IBM, @LangChain, @MistralAI, @MorganStanley, OpenClaw, @EvidenceOpen, @PalantirTech, @perplexity_ai, PhysicsX, @PrimeIntellect, @SkildAI, @Waabi_ai 🔗 nvda.ws/4lx8m0w

The doors just opened for the #NVIDIAGTC keynote. Let’s go! 🙌

This week’s forecast:☀️sunny skies and exciting announcements at #NVIDIAGTC. In less than 24 hours, Jensen Huang takes the stage at SAP Center for the GTC 2026 keynote. Start the morning with the keynote pregame: GTC Live at 8 a.m. PT, leading into Jensen’s keynote at 11 a.m. Joining us in San Jose? Download the NVIDIA GTC App ⬇️ to build your schedule—and don’t forget your sunglasses. 😎 Download on the App Store: nvda.ws/4scxoV1 Get it on Google Play: nvda.ws/4scxps3

The Genesis Mission is redefining what’s possible across HPC, quantum computing, and open AI models. Leaders from the U.S. Department of Energy (@ENERGY, @doescience) and NVIDIA will share how this private-public partnership is advancing the nation’s next generation of energy and scientific discovery. Don’t miss Science at the Speed of Light: The Genesis Mission Across DOE Labs at #NVIDIAGTC. 📆 Tuesday, March 17 | 11 - 11:40 a.m. PDT 🔗 nvidia.com/gtc/session-ca…

🌌 Two decades of debugging, optimizing, and rewriting the rules. #CUDA didn't just accelerate computing—it created a new way to build. 🙌 Join CUDA pioneers Stephen Jones, Paulius Micikevicius, Joe Stam, Kate Clark, and Wen-Mei Hwu at #NVIDIAGTC for an unfiltered look at how the platform you use every day was forged from code, curiosity, and caffeine. 🗓 Wed, Mar 18 | 3:00 p.m. PDT in person and livestreamed. 🔗 Add to schedule: nvidia.com/gtc/session-ca…

He’s back. The leather jacket, the vision, and the unmatched energy that only our CEO Jensen Huang brings to the stage. Join us live from the SAP Center for the #NVIDIAGTC 2026 keynote as he unveils the next chapter of AI. 📅 Monday, March 16 | 11:00 a.m. PT

🎉 CUDA 13.2 just dropped, and GPU programming just got simpler. This release expands CUDA Tile support to Ampere and Ada GPUs while delivering a stronger CUDA Python stack for cluster-scale workloads. What's new: ✅ Install cuTile Python directly from PyPI: pip install cuda-tile ✅ Enhanced CUDA Python profiling and debugging across Numba-CUDA flows and Nsight tools ✅ Modern CUDA C++ and refreshed math libraries optimized for AI and HPC kernels Ready to accelerate your workflows? 📝 Read the technical deep dive: nvda.ws/4rZtAq1

📢 cuTile.jl is here, bringing NVIDIA’s #CUDATile based programming to Julia. Unlock tensor cores and high-performance GPU kernels with idiomatic Julia syntax—no more manual thread management. ✅ Performance parity with cuTile Python ✅ Native Julia idioms (broadcasting, sum, sqrt) Write CUDA Tile kernels in Julia. 🔗 nvda.ws/4bnSGcm

How does physical products move from concept to reality? Join NVIDIA's Timothy Costa, GM for Industrial and Computational Engineering, at #NVIDIAGTC 2026 to see how CUDA-accelerated platforms, AI physics, NVIDIA DGX infrastructure, and NVIDIA Omniverse are transforming engineering and manufacturing workflows. 🔗 Add to schedule: nvda.ws/4rUXv2d 📆 Monday, March 16 | 3 p.m.

🎉 We’re thrilled to announce the release of CuPy v14.0.0 — packed with new features, major performance boosts, important bug fixes, and more. ✅ Full compliance and support for NumPy v2 and Python Array API standard ✅ Support for CUDA pip wheels - much better installation footprint and interoperability with CUDA Python and PyTorch ✅ Support for structured dtypes & ML dtypes (starting with bfloat16) ✅ Better coverage over new NumPy & SciPy APIs ✅ Support for new cuFFT JIT callbacks - works on both Linux and Windows! ✅ New %gpu_timeit magic for Jupyter notebook users to properly benchmark GPU code This release marks the CuPy 10th anniversary, highlighting our close collaboration between @PreferredNet, and the wider open source community. @CuPy_Team 🥳 Accelerate your Python program on our GPUs.👇

@CuPy_Team 🙌

Announcing CuPy v14! 🚀 🔹 NumPy v2 semantics 🔹 CUDA Pip Wheels support 🔹 bfloat16 & structured dtype 🔹 Enhanced NumPy/SciPy API coverage Read more on our blog for the full details! 👇

🌍 Explore the future of weather prediction at #NVIDIAGTC. Learn how to predict weather change with AI in a hands-on lab on Thursday, March 19 at 1 p.m. Build local weather resilience using Earth-2, train generative AI models with PhysicsNeMo, and deploy high-resolution forecasting pipelines in real time. 👉 Add to your schedule: nvidia.com/gtc/session-ca…