NVIDIA HPC Developer @NVIDIAHPCDev
See the latest HPC developer news and resources from @NVIDIA. Be sure to check out our NVIDIA Technical Blog for more. developer.nvidia.com/blog Santa Clara, CA Joined November 2009-
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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…
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NVIDIA HPC Developer retweeted
“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…
NVIDIA HPC Developer retweeted
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 👉…
NVIDIA HPC Developer retweeted
📝 #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
NVIDIA HPC Developer retweeted
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
🤖 #CUDA 13.0 on #Jetson Thor unlocks next-gen robotics & edge #AI with unified Arm workflows, UVM, and GPU sharing. Build once, deploy anywhere. Learn more. 🔗 nvda.ws/41tOZwE
Join NVIDIA at #PyTorch2025 📣 Discover how @PyTorch and NVIDIA accelerate research, computing, #datascience & #AI innovation. Connect live with experts, watch technical sessions, and see how we’re driving the future of AI. Register now 👉 nvda.ws/4n9Zg9H
Learn how NVIDIA uses #conda to deliver accelerated #Python libraries.🐍💻 Join our experts Aug 28, 10 AM PDT for a live webinar on #GPU Python conda packaging + open-source collaboration. Register now. ➡️ nvda.ws/3HAh7r9
Unified memory is transforming GPU programming in HPC. Our latest blog explores how tightly coupled CPU-GPU architectures like NVIDIA Grace-Hopper are boosting performance and developer productivity — no more manual data transfers. Discover how real NEMO ocean simulation is…
📣 NVIDIA cuPQC v0.4 is here. Dive into accelerated hash functions (SHA2, SHA3, SHAKE, Poseidon2-Babybear) and Merkle Trees for efficient data integrity, membership proofs, zero-knowledge proofs, and digital signatures. Get started now and future-proof your cryptographic…
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