#cuda

Feed: All Latest | Nvidia’s RTX Spark Laptops Look Hell-Bent on Disruption by Luke Larsen AI generated summary, Read the full article for complete information. Nvidia unveiled its RTX Spark laptops at Computex, promising the first true “AI PC” by pairing its new N1 ARM‑based CPU with unified memory up to 128 GB and RTX graphics (as powerful as an RTX 5070) and a CUDA‑driven AI platform that brings data‑center‑grade processing to local Windows machines. The move positions Nvidia against Microsoft’s much‑hyped AI‑PC concepts and Apple’s MacBook Pro/Mac Mini dominance, offering a Windows alternative that could run foundation‑level models locally, albeit at a premium price—likely $4,000 + for top configurations. By collaborating with OEMs such as HP, Asus, Dell and Lenovo, and targeting both AI enthusiasts and creators/gamers, Nvidia aims to create a new class of high‑performance, AI‑capable PCs that could reshape the Windows ecosystem and challenge Intel, AMD, and Qualcomm in the near future. Read more: https://www.wired.com/story/nvidia-rtx-spark-laptop-disruption/ #Nvidia #RTXSpark #Computex #CUDA #gear_products_computers

Business Latest | CUDA Proves Nvidia Is a Software Company by Sheon Han AI generated summary, Read the full article for complete information. The article argues that Nvidia’s true competitive advantage—its “moat”—lies not in its hardware but in its CUDA software platform, which enables efficient parallelization of GPU tasks and has become the foundation for modern AI frameworks. Originating from a Stanford‑spun idea to repurpose graphics GPUs for general‑purpose computing, CUDA evolved into a layered suite of highly optimized libraries that squeeze massive performance gains from Nvidia chips, creating a strong lock‑in effect that makes rival hardware (AMD, Intel, etc.) underperform despite comparable specifications. Because writing low‑level CUDA kernels is extremely specialized and most AI researchers lack the expertise, competitors’ alternatives such as OpenCL, AMD’s ROCm, and Intel’s oneAPI have failed to gain traction. Consequently, Nvidia’s dominance in AI is driven by its software ecosystem, much like Apple’s success stems from its integrated iOS environment, allowing the company to command premium pricing while keeping others at bay. Read more: https://www.wired.com/story/cuda-proves-nvidia-is-a-software-company/ #Nvidia #CUDA #PyTorch #TensorFlow

Yahoo Finance | Wall Street's Most Consequential Company -- Whose Shares Have Gained 464,000% Since 1999 -- Turns 33 Today Wall Street's Most Consequential Company -- Whose Shares Have Gained 464,000% Since 1999 -- Turns 33 Today You may not realize it, but what's arguably become the most important publicly traded company of our generation was founded 33 years ago today. On April 5, 1993, Nvidia (NASDAQ: NVDA) was cofounded in Sunnyvale, CA, by Jensen Huang (the company's current CEO), Chris Malachowsky, and Curtis Priem. Although Nvidia was best-known for its graphics processing units (GPUs) used in PC gaming for decades, it's the company's artificial intelligence (AI) contributions that have sent its shares up nearly 464,000%, including dividends paid, since its initial public offering in January 1999. Read more: https://finance.yahoo.com/markets/stocks/articles/wall-streets-most-consequential-company-122600288.html #nvidia #jensenhuang #nasdaq #cuda

Error 802: system not yet initialized when running CUDA container after NVIDIA driver reinstall on DGX — torch.cuda.is_available() crashes #drivers #nvidia #docker #cuda #gpu https://askubuntu.com/q/1564666/612

OpenCV with Cuda - build - Ubuntu #2204 #cuda #opencv https://askubuntu.com/q/1564478/612

The 2026 Convergence: Why AI Just Got a Quantum Engine? Stop waiting for "Quantum Supremacy." It’s already here. https://www.nbloglinks.com/the-2026-convergence-why-ai-just-got-a-quantum-engine/ #AI #QuantumComputing #TechTrends #CUDA #Qiskit #Python #DataScience #QuantumAI #HybridComputing #GenerativeAI #Technews #AIresearch #AImpacts

CUDA Tile Open Sourced Link: https://github.com/NVIDIA/cuda-tile Discussion: https://news.ycombinator.com/item?id=46330732 #cuda