I keep hitting the buy button on NVIDIA because of one policy decision, and I want to be blunt about it: the 25x quarterly dividend jump from $0.01 to $0.25 paired with a fresh $80 billion buyback authorization on top of the roughly $39 billion still remaining is the single clearest signal a management team can send a long-term holder.
NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) and Taiwan Semiconductor Manufacturing (NYSE:TSM) sit on opposite ends of the same AI supply chain.
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This article was written by Doug Nathman, with research by his team at Trefis.
TSMC's Q2 earnings outperformance and significant capex raise reinforces the durability of robust AI and HPC demand critical to Nvidia's outlook. The accelerating N3 ramp and higher HPC mix provide tangible support for timely Vera Rubin deployments later this year, while also improving Nvidia's supply availability. Expanding advanced-node capacity from TSMC should also improve visibility into Nvidia's ability to convert accelerating agentic AI demand into sustained data center revenue growth.
Nvidia stock has been slow to rally but business in Japan and a robotics push could help in the future.
Nvidia Corporation remains a dominant AI platform leader, with CEO Jensen Huang directly refuting recent Vera Rubin and Kyber production delay rumors. Kyber rack innovations are set to double GPU density and drive the next phase of NVDA's AI revenue expansion, with no confirmed shipment delays. Despite delays, Nvidia could likely beat H2 data center revenue expectations by 20%. An on-track Kyber roadmap would boost the beat magnitude even further.
I keep buying NVIDIA. Every paycheck, every pullback, every time the headlines swing bearish on AI capex, I click buy again on NVIDIA (NASDAQ:NVDA | NVDA Price Prediction).
It really does feel like shares of Nvidia (NASDAQ:NVDA | NVDA Price Prediction) have finally reached a bit of a ceiling, and while the new high bar is set just north of $235 per share, it's not all that much higher than the consolidation channel that the stock spent most of the past year hovering around.
Nvidia introduced its new AI model Cosmos 3 Edge. The company plans to expand physical AI ecosystem in Japan with local partners.
The AI factory will provide the computing foundation to develop multimodal foundation models for physical AI.
Nvidia's latest Japanese collaboration may not change earnings forecasts overnight, but it offers a glimpse of where the chipmaker expects artificial intelligence to travel next. Fujitsu is bringing together FANUC, Yaskawa Electric and Kawasaki Heavy Industries to explore a physical-AI control platform using Nvidia technology, with applications across factories, logistics networks and hospitals.