NVIDIA HPC Developer
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See the latest HPC developer news and resources from @NVIDIA. Be sure to check out our NVIDIA Technical Blog for more.
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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 ➡️…
Another first for our AI fleet... a supercomputing cluster of NVIDIA GB300s with 4600+ GPUs and featuring next gen InfiniBand. First of many as we scale to hundreds of thousands of GB300s across our DCs, and rethink every layer of the stack across silicon, systems, and software…
🙌 Our NVIDIA Blackwell swept the new @SemiAnalysis_ InferenceMAX benchmarks, achieving highest performance and best overall efficiency -- showing how our full-stack approach provides the best hardware and software solutions to deploy AI at scale. 5 key benchmark takeaways in…
Our NVIDIA Blackwell set a high bar in the latest results of @SemiAnalysis_ InferenceMAX benchmarks. This new open source initiative provides a comprehensive methodology to evaluate inference hardware and software performance. Here are 5 key benchmark takeaways that…
Explore sessions on #CUDA 13 features, CUDA Python kernel authoring, CUDA-X libraries, and more at #NVIDIAGTC in Washington D.C. 🔗 nvda.ws/4mEylBZ
Our #CUDA-X libraries form the backbone of quantum research. ⚡ From faster decoding of quantum errors to designing larger systems of qubits, researchers are using CUDA-X to push past the limits of classical computation, bringing the power of #acceleratedcomputing to…
Deep dive: How to efficiently access global memory in CUDA kernels to optimize GPU performance. 📝 developer.nvidia.com/blog/unlock-gp… This post walks you through the important aspects about global memory performance including global memory coalescing, strided access, and…
“There's two reasons why we're building Nemotron. The first is because it helps us build the GPUs and systems for the future.” The second reason is because trust is the foundation of impactful AI–and it starts with understanding. That’s why Nemotron was built open source at its…
Creating lower-noise qubits is one of the most important research problems in quantum computing. See how the NVIDIA CUDA-Q platform is allowing @UniofOxford researchers to unlock AI-assisted design tools for building better spin qubits. Learn More ➡️ nvda.ws/3VsCDRV
📢 Autodesk Research’s XLB library is driving breakthrough computational fluid dynamics with high-performance, scalable simulation, accelerated by NVIDIA Warp and the NVIDIA GH200 Superchip. ⚡This Python-native, open source framework enables seamless integration with AI/ML…
600,000+ parts. 2 miles of wire. Millions of lines of code. All working together as one massive GPU. This is what the future of AI factories looks like with #NVIDIABlackwell, built for extreme-scale AI inference. Discover how the #datacenter is now the computer 👉…
Great news from @OQC_Tech! We're excited to accelerate the next wave of AI and quantum breakthroughs with you. ✨
📝 #Quantum error correction decoding just got a boost. 🌟 The University of Edinburgh Quantum Software Lab used the NVIDIA CUDA-Q platform to GPU-accelerate decoding, doubling accuracy & cutting iterations by 50%. Read more: qec.codes/blog/autdec.htm
💡 Want to understand how to scale #AI workloads across diverse environments including on-prem, clouds, and hybrid infrastructure? Join us for a #webinar on September 29 to gain insights on how NVIDIA Run:ai optimizes #GPU utilization and ensures high performance training and…
Be a part of something extraordinary. From physical AI to quantum breakthroughs, the world’s brightest minds are meeting together at our nation’s capital this October 27–29. Reserve your spot to join us at #NVIDIAGTC Washington, D.C. ➡️ nvda.ws/4nAillm
Accelerate LLM #inference and cut cold-start latency with NVIDIA Run:ai Model Streamer.🌟 It reads and streams model weights concurrently—from any storage, right to #GPU, slashing load times on SSDs and S3. Dive into benchmarks and get started. 👉 nvda.ws/4mi9OlW
Simplify your #GPU software deployment. 🙌 We are teaming up with distribution platforms to make #CUDA easier to access. Get consistent naming, timely updates, and as always, comprehensive support. Learn how this improves GPU software deployment. 👇 nvda.ws/4msHX2U
Unlock the power of #CUDA 🔓 Join our Connect With Experts webinar on Sept 25 to explore the CUDA Core Libraries (CCCL) for GPU-accelerated apps in C++ & #Python. Register now. 👉 nvda.ws/4mEAUVw
Norma validated its #quantum #AI algorithms on NVIDIA #CUDAQ, achieving up to 73× faster performance for drug discovery. Another milestone showing how CUDA-Q accelerates quantum-classical breakthroughs. Read the latest announcement on @PRNewswire. 📢 nvda.ws/45ZqgS8
Accelerate #CAE simulations with #AI and bring results to life interactively in Kit-CAE, the all-in-one streamlined workflow. Learn more and explore the NVIDIA DLI course on accelerating physics-based AI models. 👉 nvda.ws/42edjTj
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