Semiconductor News & Analysis Feed
354 articles
2026-05-31
www.servethehome.com
2026-05-31
ServeTheHome
AIServerServer Systems
ASUS XA NB3I-E12 Review A Massive 8x NVIDIA B300 GPU Server
By Patrick Kennedy -
May 30, 2026
0
ASUS XA NB3I E12 With Patrick
The ASUS XA NB3I-E12 is a huge server. Occupying 9U of rack space, it brings a cutting-edge NVIDIA Blackwell Ultra subsystem along with Intel Xeon processors and over 6.4Tbps of networking in a form factor that is relatively easy to integrate into da
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
2026-05-30
virtualizationreview.com
2026-05-30
Virtualization Review
Cloud providers are facing a two-sided AI cost problem: They have to keep building the infrastructure required to support rising demand, while giving enterprise customers enough controls to keep AI workloads financially manageable.
The result is a new phase in cloud AI, one in which providers are not only competing on model access and performance, but also on cost controls. Prompt caching, contex
2026-05-29
tomshardware.com
2026-05-29
Stewart Bendle
Check the best prices on Nvidia RTX and AMD Radeon graphics cards.
2026-05-29
tomshardware.com
2026-05-29
Etiido Uko
Malware avoids detention by monitoring GPU usage and shutting down during heavy activity
2026-05-29
developer.nvidia.com
2026-05-29
NVIDIA Developer
AI applications are moving beyond text generation to multimodal systems that can perceive, search, and reason across images, documents, video, and language in real time—turning fragmented information into actionable insights.
Step 3.7 Flash, the latest from StepFun, brings these capabilities to production and enterprise-scale, available on NVIDIA-accelerated infrastructure. It is a 198B-paramet
2026-05-29
digitimes.com
2026-05-29
Unimicron said it will push advanced substrate and AI system-board upgrades in 2026 to capture accelerating demand for AI-related ASICs and switches, aiming for record revenue that would exceed its 2022 peak. The IC substrate and printed circuit board maker announced the strategy at its annual shareholders' meeting at the end of May, citing a shift in demand away from GPUs and CPUs toward ASICs, s
2026-05-29
www.fool.com
2026-05-29
The Motley Fool
Nvidia (
NVDA
+0.80%
) has built much of its success thanks to one key product: the graphics processing unit (GPU). This is the chip driving key AI tasks such as the training and inference of large language models, and while other companies sell GPUs and similar chips, Nvidia's have consistently been the fastest and most efficient. As a result, customers have rushed to get in on the company's GPUs
2026-05-28
tomshardware.com
2026-05-28
Jake Roach
Intel has revealed the Arc G3 and G3 Extreme chips, which are built on Panther Lake dies with up to an Arc B390 iGPU. The chips will show up in devices from partners like Acer and OneXPlayer.
2026-05-28
tomshardware.com
2026-05-28
Matt Safford
Acer's Atlas 8 takes on AMD’s dominance in the space with the new Intel Arc G3 and G3 Extreme processors, packing Arc B370 or B390 iGPUs.
2026-05-27
wccftech.com
2026-05-27
Wccftech
FuriosaAI and Broadcom have partnered to build a high-performance AI accelerator chip featuring next-gen HBM4/E memory.
FuriosaAI has announced its third-generation AI accelerator, which builds upon its 2nd Generation RNGD platform, which is currently in mass production on TSMC's 5nm process technology. The 2nd Gen RNGD AI platform comes in the form of a 180W PCIe-based design, which aims at LLM
2026-05-27
eetimes.com
2026-05-27
Delos Data wants to enable practical scale-up domains of 1000+ GPUs in flexible topology designs
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
2026-05-27
semiengineering.com
2026-05-27
Semiconductor Engineering
Researchers from Micron Technology and Argonne National Laboratory have released “Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles”.
Abstract
“The transition from standard generative AI to reasoning-centric architectures, exemplified by models capable of extensive Chain-of-Thought (CoT) processing, marks a fundamental paradigm shift in system requireme
2026-05-27
tomshardware.com
2026-05-27
Aaron Klotz
Nvidia has finally retired its 20-year-old control panel for GeForce GPUs. From now on, new GeForce drivers will only include the Nvidia App.
2026-05-27
gizmodo.com
2026-05-27
Gizmodo
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2026-05-26
www.tradingkey.com
2026-05-26
TradingKey
Optical communication stocks surged on May 26 due to advancements in GPU-HBM integration using fiber optic interconnects. This innovative solution overcomes physical limitations of traditional 2.5D packaging by decoupling compute and memory units, allowing greater HBM capacity and improved thermal management. If successful, it will expand optical interconnects beyond data centers and benefit silic
2026-05-26
digitimes.com
2026-05-26
Nvidia CEO Jensen Huang is pushing the company deeper into the CPU market, betting that the rise of agentic AI will create a new growth engine beyond the GPUs that made Nvidia the dominant supplier of AI computing hardware.
2026-05-26
digitimes.com
2026-05-26
Heat management has become a critical challenge as HBM technology advances, with higher stacking and faster speeds to meet surging global demand for AI data processing. Efficient control of power density in the die-to-die physical layer between HBM and GPUs is now central to next-generation HBM competitiveness and data center reliability.