Also, automation and robotics are becoming key technologies in this sector.ģ Marijuana Stocks to Buy After the Midterms Western nations’ populations are aging (as well as Japan’s) and this $100 billion industry is becoming bigger over time. This is a bold new step for NVDA, but makes complete sense.

The third was to further develop better medical instrumentation. By aiming for these long-term objectives, it allows NVDA to become a more important players as these technologies develop. The second was to power its AGX line of GPUs toward autonomous vehicles and robotics. This is what makes ‘smart’ technologies smarter and would have huge implications for all aspects of AI and smart devices. It is a key component of the system that applies logical rules to the knowledge base to deduce new information. Basically, an inference engine is at the heart of artificial intelligence. The first was to build new hardware to power inference to the next level. It was essentially 3 initiatives the company would focus on and exploit. There, he laid out his 10-year plan for NVDA. In September, CEO Jensen Huang spoke at a major GPU conference in Japan. And because of its expanding reputation, the players in the new spaces are more than interested in working with NVDA. And it’s still a major player in the gaming industry, especially as virtual reality and augmented reality platforms continue to expand.Īnd, in recent years, as cryptocurrencies have become so popular, many machines used to ‘mine’ currencies are heavily reliant on Nvidia GPUs.īasically, whenever a major new technology blooms in the tech sector, NVDA is figuring out how to make itself essential. Today, NVDA is the premier GPU maker for high performance professional equipment in massive sectors like cloud computing, Big Data, driverless vehicles and the Internet of Things. Or if you’re playing Call of Duty.Īs our online world became more mobile and bandwidth expanding, video became a powerful part of the online experience. Or if you’re a biotech researcher looking to build a molecule and then animate it to see how it reacts to a given drug. For example, you might have used Nvidia’s GPUs if you’re an astronomer and you’re organizing data and comparing it those can me massive numbers.

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