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Einride will use the Nvidia Drive Hyperion platform to build autonomous systems for heavy-duty freight trucks. The two companies will work together to adapt Nvidia's sensors and software for the specific safety and computing needs of highway and suburban trucking.
This move helps Nvidia expand beyond data centers and into the industrial automation market. While AI chips for servers are currently the company's biggest business, this partnership shows how its technology is becoming the standard for physical AI, where computers must navigate and interact with the real world.
Source: GlobeNewsWire
CEO Jensen Huang shared a bold outlook for the coming year, stating he expects the company to double its chip sales volume. This forecast suggests that the massive demand for artificial intelligence infrastructure is not yet slowing down, even as the company reaches unprecedented scale.
For a business already bringing in nearly $100 billion in quarterly revenue, doubling sales volume would be a remarkable feat. It indicates that the transition to accelerated computing, where specialized chips handle tasks much faster than traditional processors, is still in its early stages across the world's data centers.
Source: CNBC
CEO Jensen Huang is expected to attend a state dinner for Chinese President Xi Jinping next week. His presence at this level of diplomacy underscores how vital Nvidia has become to the economic and technological interests of both nations.
While Nvidia must navigate strict US export rules that limit which chips it can sell to China, maintaining a seat at the table is important. China remains a significant market for the company, and any shift in trade policy or diplomatic relations can have a direct impact on its long-term sales and supply chain.
Source: CNBC
Speaking at a technology conference, Jensen Huang argued that the industry does not need new government regulations for AI safety. He suggested that the risks are manageable and that companies are best positioned to oversee their own systems. This stance is common among tech leaders who worry that heavy regulation could slow down innovation. For Nvidia, keeping the path clear for rapid AI development is essential to maintaining the current pace of chip sales and software adoption.
Apple is looking at using Nvidia's specialized networking technology to connect its own chips inside new AI servers. These servers handle inference, which is the process of running an AI model after it has already been trained.
This is notable because Apple usually prefers to build every part of its systems itself. If Apple uses Nvidia's technology, it confirms that Nvidia's networking tools are so advanced that even the most self-reliant tech giants find them difficult to replace with their own designs.
Source: Reuters
Management consistently sets a high bar and clears it with ease. Eight straight quarters of growth and beats show they are still outrunning even the most bullish forecasts.
| Expectation | |
|---|---|
| EPS | $2.47 |
| Revenue | $108.70B |