See the latest HPC developer news and resources from @NVIDIA. Be sure to check out our NVIDIA Technical Blog for more.
Santa Clara, CA
Joined November 2009
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Dev Community Live: CUDA Rust Meetup xitter.twitterapi.xyz/i/broadcasts/2ZBXjNkmM…
NVIDIA HPC Developer retweeted
Weather forecasting is entering a new era.
NVIDIA Earth-2 brings AI models for nowcasting, medium-range forecasts, and global data assimilation to one fully open software stack. Visualized in NVIDIA Omniverse, they take forecasts from the whoel globe down to the local level.
See how Earth-2 provides the tools to build sovereign AI weather systems at #SC26 ➡️ nvda.ws/4ijOf62
Accelerating Structural Simulation in Abaqus with NVIDIA CUDA-X xitter.twitterapi.xyz/i/broadcasts/2LPLgmoLJ…
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NVIDIA HPC Developer retweeted
AI agents are now steering the Allen Telescope Array in Northern California to search for possible alien signals. 👽
Happy Halloween. Sleep tight. 🎃
See how the @SETIInstitute and Breakthrough Listen are using NVIDIA Holoscan and CUDA-X libraries to listen to the skies → nvda.ws/4zgYoGv
CUDA Live: Introduction to CUDA Rust xitter.twitterapi.xyz/i/broadcasts/1MJgNbRWj…
NVIDIA HPC Developer retweeted
How do you assess cyclone risk beyond what a few decades of historical data can reveal?
@AXA researchers are using NVIDIA Earth-2 to help fill that gap.
Using FourCastNet 3, one of Earth-2’s open, global weather forecasting models, the team generated more than 1,000 simulated cyclone seasons to study possible storm activity around the globe.
These simulations help researchers understand where cyclones travel, how often they occur, and how storms affect multiple regions within the same season. Those insights can inform AXA’s risk assessments and help customers target prevention efforts.
Learn how AXA and other organizations are applying Earth-2 to weather forecasting, risk assessment, and environmental modeling: nvda.ws/4hPfG7z
NVIDIA HPC Developer retweeted
Join us at #SC26 in Chicago, November 15–20, to see how AI, HPC, simulation, and quantum computing are reshaping science.
Catch our special address, theater sessions with industry leaders, live demos, and hands-on developer activations.
Learn more: nvda.ws/4z4xHEM
HPC just got hands-on at #SC26.
Join us Monday, Nov. 16 for a hands-on Build-a-Claw featuring demos, experts, and more followed by a Special Address from NVIDIA’s @ia_buck covering the latest breakthroughs in #HPC.
🦞Build-a-Claw: 1–3:30 pm CT
🎙️Special Address with Ian Buck: 4–5 pm CT
Spots are limited. Register now → nvda.ws/4k9k9Dt
NVIDIA HPC Developer retweeted
Introducing NVIDIA DSX POD, a reference design for ecosystem partners to build factory-integrated containers for deploying productive AI capacity faster and at scale.
Powered by the NVIDIA Vera Rubin platform, it defines requirements across compute, networking, storage, power, liquid cooling, cabling, and mechanical design, providing a repeatable approach to accelerate AI factory deployment.
Learn more: nvda.ws/4yXVPJk
Teams across Europe are adapting NVIDIA Earth-2 open models to answer weather and climate questions that matter to their work.
@AXA is studying cyclone risk across more than 1,000 simulated seasons. @TotalEnergies is testing short-term solar forecasts at two solar farms.
At the @OfficialUoM, researchers adapted Earth-2 CorrDiff to model U.K. air quality, training it on Isambard-AI and running it locally on DGX Spark.
More from GTC Berlin in the blog: blogs.nvidia.com/blog/europe…
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NVIDIA HPC Developer retweeted
NVIDIA and @fzj_jsc ran a record 104-qubit simulation of fault-tolerant quantum computing on JUPITER, Europe’s biggest supercomputer, so researchers can refine designs before building hardware, shortening the path to viable quantum computers.
Read the release ⬇️ nvidianews.nvidia.com/news/n…
NVIDIA HPC Developer retweeted
NVIDIA 💚 PyTorch since day 0.
Cheers to building AI together, from early research to one of the fastest-growing deep learning frameworks.
50+ million monthly downloads with CUDA support.
Join us at @PyTorch Conference North America 2026 this week!
Space42 is estimating urban building heights from a single satellite radar image, even through clouds and in the dark.
The team used NVIDIA Earth-2’s CorrDiff and PhysicsNeMo to generate height maps and flag areas where predictions are less reliable.
Here’s how @space42ai built it: nvda.ws/4zqXLKl
CUDA-X libraries support everything from molecular simulation and climate modeling to AI. Here’s how they help the same GPU infrastructure do it all.
What does “fungible” mean for AI infrastructure? The flexibility to run different workloads: every type of AI, every phase of AI and even workloads that aren’t AI at all.
One platform, built for maximum “productivity”, “durable” years after deployment, and “fungible” for every model and workload.
Read the blog to learn more: nvda.ws/4hphGmQ
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Pretty cool to see GPU research from 2009 recognized 17 years later. Congrats to Michael Garland and Nathan Bell on the SC26 Test of Time Award! 👏
🏆 What makes research stand the test of time?
Nathan Bell and Michael Garland’s influential SC09 work on GPU sparse computing is the recipient of the #SC26 Test of Time Award.
Seventeen years later, the questions they tackled still matter.
sc26.supercomputing.org/2026…
@NVIDIAAI
Turn local weather data into real-time operational decisions
With AI data assimilation tools in NVIDIA Earth-2, you can pipe proprietary and local sensor data directly into high-res forecasting models like CorrDiff, StormCast, and HealDA. No full model retraining required.
Read the full Earth2Studio code walkthrough: nvda.ws/4cE3NOQ
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Introducing CUDA Rust!
CUDA Rust lets you write GPU kernels natively in Rust, not just launch them from it.
Two paths: cuda-oxide for SIMT kernels compiled to PTX, and cutile-rs for Tile-based programming on stable Rust. Both can catch aliasing errors at compile time.
Technical blog: nvda.ws/4hm1bHS
CUDA Toolkit 13.4 is now available.
It adds Windows on Arm support, early developer support for NVIDIA Rubin, and MPS V3 controls for partitioning GPU compute and memory across workloads, plus new CUDA Python APIs and CCCL performance improvements.
Here's all the technical details: nvda.ws/4A8VzbC
NVIDIA HPC Developer retweeted
NVIDIA × Fair Math Challenges are LIVE on FHERMA!
We're excited to collaborate with @NVIDIAHPCDev to bring GPU acceleration layer support to the FHE ecosystem using NVIDIA's cuPQC.
To kickstart this initiative, we're launching two new developer challenges with GPU compute:
- Polynomial Multiplication: Build high-performance polynomial multiplication on cuPQC's bigint backend. (Great entry point for GPU/CUDA devs!)
- Key Switching in CKKS: Optimize one of FHE's biggest bottlenecks using GPU-native arithmetic.
Whether you're an FHE researcher or a CUDA/GPU dev, you can help build open-source infrastructure that projects worldwide will use.
Join the challenges: fherma.io
#FHE #Cryptography #CUDA #GPU #cuPQC #NVIDIA #OpenSource
Join us for a three-part webinar series on how AI is being used to study proteins, forecast climate risk and simulate new materials.
NVIDIA speakers will be joined by researchers from @emblebi, @OfficialUoM and @EPFL to share how teams are working with NVIDIA BioNeMo, Earth-2 and NVIDIA ALCHEMI.
Sept 23 | Sept 30 | Oct 6
Available in multiple time zones. Register below.
