Hyperscalers and other companies are making significant investments in AI infrastructure, including data centers, servers, and networking equipment. This trend is driven by the increasing demand for AI computing resources.
Yageo subsidiary Kemet is increasing tantalum capacitor prices for the third time. The decision is driven by strong demand for AI servers, which continues to grow.
AI data centers are reshaping the power landscape, with increasing adoption of 800V DC architectures and solid-state transformers. This evolution is crucial for managing the high power demands of GPUs and optimizing energy efficiency.
Huawei enters the artificial intelligence market with prefabricated modular datacenters, equipped with Chinese-made chips. The company promises fast implementation times, but actual performance remains to be evaluated in real-world scenarios.
Nvidia has made a strategic investment in Lumentum, aiming to enhance optical technologies for artificial intelligence applications. The collaboration seeks to develop advanced solutions for interconnecting AI systems, crucial for increasing the perf...
Ablecom introduces ABLERACK, an L11 cabinet designed for high-density AI deployments. The reinforced structure is seismic-tested, ensuring stability and reliability in critical environments. Ideal for on-premise infrastructures requiring maximum resi...
FIT has unveiled a 102.4T CPO (Co-Packaged Optics) external laser solution designed for AI data centers. The presentation took place at OFC 2026. CPO technology promises to significantly improve bandwidth and energy efficiency in data centers support...
The surge in demand for AI servers is straining the supply chain of tantalum capacitors. Substitution with MLCC capacitors is proving insufficient to bridge the gap, creating potential bottlenecks in production.
The escalation of tensions in the Middle East, with visible repercussions in Dubai's Jebel Ali Port, is causing significant disruptions to technology infrastructure, retail operations, and automated transportation services in the region. AWS, Apple, ...
The increasing demand for compute resources for artificial intelligence is driving data center operators towards regions with abundant and low-cost energy, such as those near the Arctic Circle.
Nvidia has announced that liquid cooling will become the standard for its high-performance GPUs. This decision will significantly impact the supply chain, increasing revenue for suppliers of advanced cooling solutions. The shift reflects the growing ...
Growing international trade tensions could further consolidate Nvidia and TSMC's strategic role in the artificial intelligence infrastructure sector. This dynamic offers new opportunities, but also raises questions about dependence on specific suppli...
Meta is reportedly scaling back its efforts to develop high-end proprietary AI chips, increasing its reliance on external vendors like Nvidia and AMD. The decision reflects the challenges and high costs associated with designing specialized hardware ...
TSMC is strengthening its equipment supply chain in Taiwan through subsidies and a five-year rebate program. The initiative aims to support local suppliers and ensure a more resilient supply chain in the semiconductor industry.
Major cloud providers and tech companies are investing heavily in infrastructure dedicated to artificial intelligence. Meta, Oracle, Microsoft, and Google are leading the spending to support the growing demand for computing power for training and inf...
OpenAI has raised $110 billion in a private funding round, the largest in tech history. Nvidia contributed $30 billion. The AI startup is now valued at $730 billion.
Taiwanese manufacturer Quanta Computer anticipates strong growth in 2026, driven by artificial intelligence. After reporting record profits in 2025, the company aims to expand its capabilities in the AI sector to support further development. Specific...
A new $110 billion investment round values the company at $730 billion pre-money. Key investors include SoftBank, NVIDIA, and Amazon, signaling strong confidence in the future of artificial intelligence and its potential large-scale applications.
TrendForce reports that major cloud providers will significantly increase investments in servers and infrastructure dedicated to artificial intelligence. Eight hyperscalers are projected to spend a total of $710 billion by 2026, exceeding Ireland's g...
Former President Trump proposes a plan to reduce energy costs for AI data centers, urging tech companies to generate their own power. The initiative includes a pledge to protect end consumers.
The increasing demand for AI servers is significantly impacting component manufacturers. APEC, a Taiwanese company specializing in power devices, is benefiting from higher demand for high-voltage MOSFETs and advanced cooling systems for these servers...
Nvidia's export restrictions in China are pushing local AI manufacturers to strengthen their market position. This scenario could accelerate the development of domestic alternatives for inference and training of large language models.
Server slide rail manufacturer King Slide anticipates a significant surge in demand, driven by the increasing server density required for GenAI workloads. This trend may lead to a reorganization of supply chains in the industry.
A potential US$50 billion investment by Amazon in OpenAI highlights the escalating competition in the artificial intelligence sector and increasing financial pressures. The move underscores Amazon's desire to compete with Microsoft and Google in the ...
Component manufacturer Yageo reported an 82% profit increase in Q4 2025, driven by growing demand for artificial intelligence-related products. The company anticipates continued growth due to the expanding AI market.
NVIDIA reported its earnings for Q4 of fiscal year 2026, highlighting significant revenue growth driven primarily by the Data Center and ProViz sectors. GAAP revenue reached $68 billion, marking a 73% year-over-year increase. These results confirm NV...
Nvidia anticipates that the monetization of artificial intelligence applications will continue to drive investments from cloud service providers (CSPs). This strategy is based on the increasing demand for computational resources for training and infe...
Many hyperscalers have already made public commitments to cover electricity cost increases related to AI model training and inference. The initiative aims to ensure greater transparency and sustainability in the sector.
Despite recent news about spending cuts, OpenAI's infrastructure partners appear to be maintaining their planned deliveries. The article analyzes the current state of the AI infrastructure market and the implications for hardware and service provider...
