NVIDIA HPC Developer

Quantum computers might change the world, but the important question is can they run DOOM? By porting Luke Mortimer's Quandoom to CUDA-Q, the power of GPU-accelerated #quantum simulations can even extend to playing #DOOM. Learn more about NVIDIA CUDA-Q ➡️…

This didn’t happen overnight. For over 30 years, NVIDIA has been quietly building the foundation of the AI era — with vision, innovation, and the long view, led by NVIDIA CEO Jensen Huang. A sharp look at how we got here:

🎉 cuda.cccl: GPU building blocks for #Python. Leverage cuda.cccl for efficient GPU computing with Pythonic interfaces to CUB and Thrust. Write custom algorithms without dropping into C++. Learn how to boost your Python GPU performance ➡️ nvda.ws/4lOMlJE

Real-time digital twins for robotics are now possible using a dual system of physically simulated particles and visual Gaussians, enabled by fast differentiable rendering and physics engines leveraging GPUs. The system stays continuously synchronized with real-world…

🎊 Huge thank you to @SciPyConf for an inspiring week and for the conversations with such an incredible community. We had a blast diving into #OpenSource and accelerated #Python through tutorials, talks, and sprints. 🙌 We are already excited for next year.

🌌 Join us for our webinar on accelerating #quantum supercomputing with CUDA-Q and discover the power of hybrid quantum-classical apps with our expert panel. 📆 July 31 at 10 AM PT Add it to your calendar ➡️ nvda.ws/3Iqxk2e

🌍 Our NVIDIA Earth-2 now offers subseasonal-to-seasonal weather forecasting with #AI, enabling large ensemble predictions at lower costs. Learn how this can benefit farmers, energy firms, and governments in our technical blog ➡️ nvda.ws/4lmewPY

🌟 New webinar: learn how to accelerate real-world, HPC and AI enabled applications with #CUDA by efficiently harnessing the GPU performance. Boost your CUDA development skills and gain exclusive access to our developer resources, including tutorials, best practices, and starter…

What’s new in cuQuantum 25.06? Dynamic gradients, DMRG, and simulation speedup, and more. 25.06 updates all cuQuantum libraries: cuDensityMat, cuStateVec, and cuTensorNet. New features include gradients for quantum dynamics workflows, further optimizations for NVIDIA Grace…

#NVIDIABlackwell is now generally available on @awscloud. The NVIDIA GB200 NVL72 platform with NVIDIA NVLink, now available as Amazon EC2 P6e-GB200 instances, enables training and inference at scale to power AI breakthroughs. 🎥 See now to learn more ⬇️ nvda.ws/4eDefWq

🎉 We're honored to announce that our very own Ian Buck is a part of the @HPCwire 35 Legends Class of 2025. His vision led to #CUDA, now powering a massive global developer ecosystem of millions of scientists, engineers, and researchers, opening the door to…

Millions of parts, one AI superchip. Go behind the scenes and watch how NVIDIA GB200 NVL72 is created, connecting 72 #NVIDIABlackwell GPUs into a single massive, liquid-cooled system that pushes the limits of innovation and collaboration. nvda.ws/4nDe69u

Curious about advanced CUDA kernel optimization techniques? 🤔 Our latest blog post delves into handwritten PTX code, another one of the many tools available to the expert CUDA programmer. 🔗 Read: nvda.ws/4ksIErN

With native Python support now available, #CUDA brings #acceleratedcomputing to scientific #Python users. Join Christopher Lamb, NVIDIA’s VP of Software for Compute Platforms at #SciPy2025 to learn more. 🐍 nvda.ws/408pFvj

⚡ Take GPU optimization to the next level. Our upcoming webinar will demystify CUTLASS and walk you through optimized implementation of GEMM kernel design on #NVIDIAHopper, with experts from NVIDIA and @colfaxintl. ➡️ Register now for the session that is best for your time…

Discover the newly released #cuQuantum 25.06 with DMRG primitives for circuit simulations and 26x speedup in AI-driven QPU design with dynamic gradients. #QuantumComputing Learn more 👉 nvda.ws/4kvKsQW

Add this SciPy tutorial to your calendar now ➡️ cfp.scipy.org/scipy2025/talk…

GTC Highlights: Lighting Up Europe GTC Paris at VivaTech 2025 spotlighted how NVIDIA and partners are building the future of AI—from sovereign infrastructure to agentic systems. Jensen Huang’s keynote introduced major advances like Grace Blackwell systems in full production and…

Prototype, fine-tune, and deploy with ease. 🙌 NVIDIA DGX Spark, your own personal AI supercomputer. ✅ 1 petaFLOP ✅ 128GB of coherent, unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H Reserve yours now ➡️…

📣 New release: NVIDIA Collective Communications Library 2.26. Updates include: ✅ PAT optimizations: CUDA warp-level optimizations improving PAT algorithm parallelism. ✅ Implicit launch order: Prevent deadlocks when a device is used simultaneously by multiple communicators and…