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China is reducing its reliance on Nvidia hardware as regulators block major tech firms from deploying NVDA chips in new data centers. The shift is redirecting demand toward domestic accelerators from Huawei, Cambricon and in-house AI chip teams.
Nvidia now holds more than 80 % of the market for chips used in data centers and for artificial intelligence. In early 2021 its share was only 25 %. Intel besides AMD have not kept up with the steep rise in demand for hardware built for AI work, which let Nvidia expand quickly.
A recent WSJ chart reveals the Magnificent 7 have surged approximately 170% since November 2022 while U.S. consumer sentiment has weakened. Surveys show that only 31% of Americans feel comfortable with AI, compared to 72% who embraced the early internet in 1995.
Nvidia crushed earnings expectations, but the market's response left CEO Jensen Huang puzzled. In leaked internal comments, he pointed out the irony: beat estimates and get called a bubble, miss them and face the same criticism.
Nvidia's latest earnings were positioned as a critical test for the broader AI trade. The results delivered renewed clarity for sentiment across the sector.
Nvidia launched Nemotron Parse, an AI vision model that interprets complex document layouts with precision, transforming unstructured documents into structured data for enterprise use.
GMI Cloud is investing $500 million into a new Nvidia-powered AI data center in Taiwan, scheduled to go live by March 2026. The project includes 7,000 Blackwell GPUs and a contract value projected to reach $1 billion.
Microsoft, NVIDIA, and Anthropic have launched a major AI partnership involving multibillion-dollar investments, large-scale cloud expansion, and deep technical collaboration. The agreement positions Claude as a fully integrated frontier model across major cloud ecosystems.
Microsoft unveiled Fairwater, a massive AI superfactory developed alongside OpenAI. The facility brings online GPU power matching approximately 1.2 million H100-class units across Microsoft's worldwide infrastructure.
U.S. index futures opened higher, with tech leading the gains, as traders focus on Nvidia's AI-driven earnings report that could determine the market's direction.
Morgan Stanley raised its outlook and target price for Nvidia after identifying a strong acceleration in Blackwell GPU shipments and improving supply-chain conditions. Analysts say demand is running ahead of market expectations.
Major cloud providers Amazon, Microsoft, and Anthropic are supporting the Gain AI Act, a legislative proposal that would require AI chip makers like Nvidia to prioritize U.S. domestic demand before exporting advanced processors to restricted markets, potentially reshaping the global AI hardware landscape.
NVIDIA launched the Llama-3 Nemotron Super-49B-v1.5 model on Hugging Face, designed as a high-efficiency reasoning system for agentic tasks and extended conversations. The release comes amid growing concerns about new tax proposals that could impact AI developers relying on expensive compute infrastructure.
NVIDIA's Blackwell Ultra GPUs delivered record-breaking MLPerf Training v5.1 results, showing massive performance jumps across all benchmarks. This comes as potential tax policy changes threaten to increase costs for AI infrastructure operators.
Nvidia ($NVDA) has reportedly asked TSMC to ramp up 3nm wafer production for Blackwell chips by as much as 50%—from around 100k–110k wafers per month to roughly 160k. The company says demand is growing "month by month," and all three HBM suppliers are ready to support the push.
A viral chart from reveals the stunning divergence between Nvidia and Intel's data-center revenue since ChatGPT's launch. In just three years, Nvidia's revenue has exploded to $41.1 billion while Intel's stagnated at $3.9 billion—a visual testament to how AI has completely rewired the chip industry.
NVIDIA's upcoming Rubin GPUs have shattered long-standing efficiency trends, delivering a major leap in AI computing performance while dramatically improving energy optimization.
Microsoft's Azure hit a new AI performance benchmark of 1.1 million tokens per second using a single rack of NVIDIA GB300 GPUs, according to CEO Satya Nadella.
Cognition and Windsurf's new SWE-1.5 model is turning heads with its blazing 950 tokens per second inference speed and agent-native design. Built on GLM-4.6 and deployed on cutting-edge Cerebras hardware, it could redefine what real-time AI coding assistance looks like.
Nvidia is supplying over 260,000 AI chips to Samsung, Hyundai, and SK Group through a government-backed South Korean initiative to strengthen national AI infrastructure.
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Peter Smith
Marina Lyubimova
Usman Salis
Eseandre Mordi
Saad Ullah
Artem Voloskovets
