Semiconductor News & Analysis Feed

26 articles
2026-07-20
www.chosun.com 2026-07-20 조선일보
2026-07-19
videocardz.com 2026-07-19 VideoCardz.com
2026-07-19
www.chosun.com 2026-07-19 조선일보
2026-07-19
digitimes.com 2026-07-19
The humanoid robot industry is converging on a "big brain, small brain" architecture, with AI compute shifting from the cloud to the edge, and even to hands, feet, and other endpoints. DIGITIMES Intelligence predicts that Nvidia's CUDA will keep it dominant in the robot "big brain" layer for now, but automotive chipmakers and field-programmable gate array (FPGA) vendors can still target the "small
2026-07-16
developer.nvidia.com 2026-07-16 NVIDIA Developer
2026-07-11
developer.nvidia.com 2026-07-11 NVIDIA Developer
There are many ways to optimize code for GPUs. In this post, you’ll learn how kernel fusion can improve memory bandwidth and reduce kernel launch overhead, along with multiple ways to apply it in NVIDIA CUDA code. A common bottleneck when writing GPU code is that GPU compute is so fast that even high-bandwidth device memory doesn’t use the GPU kernel fully. Kernel fusion addresses this by combini
2026-07-06
digitimes.com 2026-07-06
China's IC design industry is nearing CNY1 trillion (approx. US$150 billion) ahead of schedule, but AI is exposing deeper gaps in computing architecture, high-end talent, and ecosystem control.
2026-06-30
tomshardware.com 2026-06-30 Bruno Ferreira
Zluda is back to a hobby, as the open-source project has lost commercial funding with version 6 but added early 32-bit PhysX support.
2026-06-24
news.google.com 2026-06-24 The Quantum Insider
2026-06-24
thequantuminsider.com 2026-06-24 The Quantum Insider
PRESS RELEASE — The Eclipse Qrisp developer community has integrated Eclipse Qrisp – the open-source framework for quantum programming initiated by Fraunhofer FOKUS – with the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. The integration will be made publicly available later this year. The integration enables a straightforward workflow: developers write quantum programmes in Qris
2026-06-24
www.hpcwire.com 2026-06-24 HPCwire
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2026-06-23
thequantuminsider.com 2026-06-23 The Quantum Insider
PRESS RELEASE — Qilimanjaro Quantum Tech’s software development toolbox QiliSDK is now integrated with NVIDIA CUDA-Q – the platform for quantum-classical computing. This upgrade provides researchers with GPU acceleration for production-scale emulation of quantum workflows on classical hardware. Qilimanjaro’s unique multimodal approach now extends across classical and quantum backends, from CPUs an
2026-06-23
developer.nvidia.com 2026-06-23 NVIDIA Developer
The NVIDIA CUDA Core Compute Libraries (CCCL) provides delightful and efficient abstractions for CUDA developers in C++ and Python. It features: Parallel algorithms – Host-launched algorithms including sort, scan and reduce that remove the need to write custom kernels for common operations  Cooperative algorithms – Device-side algorithms such as block-wide or warp-wide reductions or scans that si
2026-06-21
www.tomshardware.com 2026-06-21 Tom's Hardware
PC Components GPUs GPU Drivers Open-source Vulkan driver NVK gains experimental DLSS support — bringing Nvidia’s upscaling tech to Linux via imported CUDA binaries News By Luke James published 2 days ago Depends on compatible bytecode being available for your GPU. (Image credit: Nvidia) Share this article 1 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subsc
2026-06-11
blog.adafruit.com 2026-06-11 Adafruit
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2026-06-11
www.phoronix.com 2026-06-11 Phoronix
AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support Written by Michael Larabel in AMD on 10 June 2026 at 12:25 PM EDT. Add A Comment Lemonade, the local AI server solution developed by AMD that is designed to work across their CPUs, GPUs, and NPUs, is out with a new version today that also adds NVIDIA CUDA support. THe Lemonade SDK provides local AI server capabilities in an API-compliant ma
2026-06-05
news.google.com 2026-06-05 Seeking Alpha
2026-06-01
tomshardware.com 2026-06-01 Kunal Khullar
Powered by Nvidia's RTX Spark Superchip, the Surface Laptop Ultra features 20 Arm CPU cores, 6,144 CUDA cores, and up to 128GB of unified memory
2026-06-01
www.cnbc.com 2026-06-01 CNBC
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2026-05-30
www.techtimes.com 2026-05-30 Tech Times
By Scott McCain Published: May 30 2026, 08:22 AM EDT Share on Facebook Share on Twitter Share on LinkedIn Share on Reddit Share on Flipboard Share on Pocket DELL.COM On Friday morning, Nvidia, Microsoft, and Arm each posted the identical message to X — "A new era of PC" — followed by the GPS coordinates of the Taipei Music Center, where Nvidia CEO Jensen Huang is scheduled to deliver his GTC Tai