Semiconductor News & Analysis Feed
20 articles
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
www.hpcwire.com
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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)
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2026-06-11
blog.adafruit.com
2026-06-11
Adafruit
blog.adafruit.com
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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
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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
2026-05-28
www.phoronix.com
2026-05-28
Phoronix
NVIDIA CUDA 13.3 Rolls Out CUDA Python 1.0, CUDA Tile For C++
Written by Michael Larabel in NVIDIA on 27 May 2026 at 04:22 PM EDT. Add A Comment
NVIDIA on Tuesday released CUDA 13.3 as another significant advancement for their unified GPU programming stack for NVIDIA hardware.
For those wanting to tap the power of CUDA from the Python programming language, CUDA 13.3 marks the CUDA Python 1.0 mile
2026-05-27
developer.nvidia.com
2026-05-27
NVIDIA Developer
NVIDIA CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem. The launch of NVIDIA CUDA Tile programming in C++, enables high-level, tile-based kernel development that automatically manages complex low-level GPU details for optimal performance and portability. Additionally, CUDA Tile programming is now supported on Compute Capability 9.0 (NVIDIA Ho
2026-05-27
developer.nvidia.com
2026-05-27
NVIDIA Developer
Developers can now use NVIDIA CUDA Tile programming within large existing C++ GPU codebases to develop highly optimized GPU kernels using tile-based abstractions.
NVIDIA CUDA Tile, launched with NVIDIA CUDA 13.1, introduced tile-based programming for GPUs. Designed with a top-level language layer and another intermediate layer that any high-level programming language can target, CUDA Tile autom
2026-05-25
digitimes.com
2026-05-25
For AMD CEO Lisa Su, the current moment presents an opening that Nvidia does not have. Nvidia's high-end chips have repeatedly faced scrutiny and export restrictions in China, and Nvidia CEO Jensen Huang only recently confirmed in May that Nvidia once held as much as 95% market share there. That dominance has since been reset, with the bulk of that share ceding to domestic rival Huawei.
2026-05-11
www.wired.com
2026-05-11
WIRED
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2026-05-08
www.phoronix.com
2026-05-08
Phoronix
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