A leading AI company recently announced a colossal new investment round of $110 billion at a pre-money valuation of $730 billion, with major investors including SoftBank, NVIDIA, and Amazon. This historic injection of capital not only highlights the intense capital frenzy in the AI sector but also signals a new accelerated phase for AI development and widespread adoption, bringing profound impacts to the industry ecosystem.
This article delves into the efficient deployment of open-source Vision Language Models (VLMs) like NVIDIA Cosmos Reasoning 2B on NVIDIA Jetson edge devices, leveraging the vLLM framework and Live VLM WebUI for real-time interactive physical AI applications. Beyond a tutorial, it offers a deep analysis of the future of edge AI.
Nvidia's optimistic forecast is set to propel Asian equities higher, building on Wall Street's momentum. This article delves into Nvidia's pivotal role in the AI chip sector and its profound implications for global tech and financial markets.
As 2026 unfolds, the global tech sector grapples with a dual challenge: persistent geopolitical tariff uncertainties and the profound, yet unsettling, disruption brought by artificial intelligence. This analysis delves into how these forces are impacting leading firms like Nvidia and Salesforce, and influencing the broader market, including Bitcoin's recent volatility.
Despite expectations of robust earnings, Nvidia's stock has entered a period of stagnation. This trend signals a broader shift in market sentiment towards the AI industry—from fervent enthusiasm to cautious scrutiny—posing new challenges for tech giants.
Four US technology giants—Microsoft, Meta, Alphabet, and Amazon—are projected to spend a combined $650 billion on capital expenditures by 2026, according to Bloomberg Intelligence. This massive wave of investment is primarily focused on AI infrastructure, data centers, and specialized chips, signaling a decisive shift toward a hardware-heavy phase of the AI revolution.
The global semiconductor industry is set to reach an unprecedented $1 trillion in annual revenue this year. Driven by the explosive demand for AI chips and the integration of semiconductors into every sector of the economy, silicon has become the strategic 'digital oil' of the 21st century. This report analyzes the structural shifts and the dominant role of Nvidia in this hardware revolution.
AWS has announced new instances for its P6 accelerated computing service, featuring 8 Nvidia Blackwell B300 GPUs. Following the B200 and GB200, this update solidifies AWS's Blackwell-based infrastructure, offering higher memory bandwidth and compute power for LLM training and large-scale inference.
Auras Technology (3324.TW) reported a record January revenue of NT$3.042 billion, a 7.8% MoM increase. This milestone highlights the massive adoption of liquid cooling in AI servers, with Auras securing a dominant position in the NVIDIA GB300 supply chain through its advanced CDU and Cold Plate solutions.
Nvidia's financial shift toward AI data centers has left PC gaming in the shadows. We explore why Jensen Huang is prioritizing Blackwell for AI over GeForce, and the latest physical media controversy surrounding Bethesda and the Switch 2.
A report from The Information claims that Nvidia plans to skip any major RTX gaming GPU releases in 2026. While the RTX 50 series Super refresh design is allegedly complete, the next-generation RTX 60 architecture may not debut until 2028. This shift indicates that Nvidia is prioritizing its massive AI data center demand over the traditional gaming enthusiast market.
The latest Windows 11 January update, KB5074109, is reportedly wreaking havoc on gaming rigs worldwide. Nvidia has issued an official recommendation for GeForce GPU owners to uninstall the update due to severe framerate drops and visual artifacts. Here's what you need to know.
