Nvidia Shares Up After Chipmaker's AI Data Center Growth Prediction

Nvidia shares surged 6% in extended trading on Thursday after the company's data center growth prediction. The market was impressed by Nvidia's fourth-quarter results, which showed that the company's data center revenue increased by a eye-popping 82%. Nvidia's data center business is now its second-largest, behind only its gaming business. Nvidia is benefiting from the explosion in demand for artificial intelligence. Its GPUs are well-suited for the complex matrix operations required by deep learning algorithms. Nvidia's data center business is booming, thanks to the burgeoning demand for artificial intelligence. The company's fourth-quarter results showed that data center revenue increased by an impressive 82%. This impressive growth has vaulted Nvidia's data center business into the second spot, behind only its lucrative gaming business. Nvidia's success in the data center market is due in large part to the company's expertise in GPU manufacturing. GPUs are well-suited for the complex matrix operations required by deep learning algorithms. Nvidia has been able to parlay its experience in the gaming market into success in the data center market, as demand for AI continue to grow.

1. Nvidia shares up after chipmaker predicts growth in AI data center market 2. Nvidia's GPUs help power many of the world's most popular AI services 3. Nvidia's new TensorRT platform is optimized for deep learning inference 4. Nvidia's AI data center business is growing thanks to strong demand from major tech companies 5. Nvidia's stock price is up thanks to strong growth prospects in the AI data center market

1. Nvidia shares up after chipmaker predicts growth in AI data center market

Nvidia shares soared after the chipmaker predicted strong growth in the market for artificial intelligence data centers. Nvidia's stock price has been on a tear in recent years, thanks in part to the company's dominance in the market for GPUs used in deep learning and other AI applications. Now, Nvidia is predicting that the market for AI data centers will grow from $2 billion to $10 billion in the next four years. Nvidia's announcement came as part of the company's quarterly earnings report, which showed strong growth in its core businesses. Nvidia's revenue from its data center business grew by 78% year-on-year in the quarter, while its gaming revenue grew by 40%. Nvidia's shares were up by as much as 9% in after-hours trading following the release of the company's earnings report. The strong results and bullish forecast from Nvidia sent a positive signal to the stock market, with the Nasdaq Composite Index climbing to a new record high in early trading on Friday. Nvidia's strong performance is a sign that the company is weathering the current slowdown in the global economy. The chipmaker is benefiting from the growing demand for its GPUs from the major tech companies that are driving the AI revolution. Amazon, Facebook, Google, and Microsoft are all major customers of Nvidia's GPUs, and they are all investing heavily in AI. Nvidia is also benefitting from the increasing demand for gaming laptops and PCs. The company's share of the global GPU market has risen from around 60% a few years ago to more than 70% now. Nvidia is well-positioned to continue its strong performance in the quarters to come.

2. Nvidia's GPUs help power many of the world's most popular AI services

Nvidia's GPUs help power many of the world's most popular AI services. Nvidia Corporation is an American technology company based in Santa Clara, California. It designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia's primary GPU product line, labeled "GeForce", is in direct competition with Advanced Micro Devices' (AMD) "Radeon" products. Nvidia has a long history in the AI space. It started with the company's co-founder, Jensen Huang, who did his PhD in artificial neural networks at Stanford University in the late 1980s. Today, Nvidia is one of the leading suppliers of GPUs for deep learning, a subset of AI that is seeing strong demand from major tech companies like Google, Facebook, and Microsoft. Nvidia GPUs are used in a number of different AI services. They are used in Google's Street View for image recognition and classification, in Facebook's artificial intelligence chatbots, and in Microsoft's Azure cloud platform. Nvidia's GPUs have also been used in a number of research projects that have led to major breakthroughs in the AI field. One notable example is the AlphaGo project, which used Nvidia GPUs to train the AI program that defeated a world champion Go player. Nvidia's success in the AI space is due in large part to its early investment in the technology. The company has been able to build up a strong ecosystem of software and hardware partners that are essential for developing and deploying AI applications. Looking forward, Nvidia is well-positioned to continue its success in the AI space. The company is expanding its product line with new GPUs that are designed specifically for deep learning. It is also working on new partnerships and applications for its GPUs. Nvidia's strong position in the AI space is a result of its early investment in the technology. The company has built up a strong ecosystem of software and hardware partners that are essential for developing and deploying AI applications.

3. Nvidia's new TensorRT platform is optimized for deep learning inference

Nvidia's new TensorRT platform is optimized for deep learning inference and offers enhanced performance over traditional GPU-accelerated platforms. TensorRT is a high performance deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. Designed to work in conjunction with Nvidia GPUs, TensorRT takes advantage of the CUDA platform to deliver up to 10x higher performance than CPU-only platforms. TensorRT also supports INT8 and FP16 data types to maximize performance on deep learning networks. INT8 is a new data type that is optimized for deep learning inference. INT8 is a lower precision data type that offers improved performance over traditional FP32 data types. FP16 is a new data type that is also optimized for deep learning inference. FP16 is a higher precision data type that offers improved performance over traditional FP32 data types. TensorRT also includes a new library of primitives for deep learning inference that are optimized for Nvidia GPUs. The library includes convolution, fully connected, pooling, activation, and Normalize layers. In addition to enhanced performance, TensorRT also offers improved power efficiency over traditional GPU-accelerated platforms. TensorRT is designed to run on Nvidia GPUs that are power-efficient and offer high performance per watt. Nvidia's new TensorRT platform is a powerful and efficient deep learning inference platform that offers enhanced performance over traditional GPU-accelerated platforms. TensorRT is designed to take advantage of the CUDA platform to deliver up to 10x higher performance than CPU-only platforms. In addition to enhanced performance, TensorRT also offers improved power efficiency over traditional GPU-accelerated platforms.

4. Nvidia's AI data center business is growing thanks to strong demand from major tech companies

Nvidia's AI data center business is growing rapidly thanks to strong demand from major tech companies. Nvidia's AI data center business is growing thanks to strong demand from major tech companies. Nvidia's GPUs are well-suited for deep learning and other AI applications, and the company has been investing heavily in building out its datacenter AI capabilities. Major tech companies are turning to Nvidia for their AI needs because of the company's strong track record in delivering high-performance GPUs. Nvidia's AI data center business is growing thanks to strong demand from major tech companies like Google, Facebook, and Microsoft. These tech giants are pouring money into AI research and development, and they need the best hardware to power their AI applications. Nvidia's GPUs are the gold standard for AI performance, so it's no surprise that these companies are turning to Nvidia for their datacenter AI needs. Nvidia is well-positioned to continue to dominate the AI datacenter market thanks to its strong relationships with major tech companies and its continued investment in AI research and development.

5. Nvidia's stock price is up thanks to strong growth prospects in the AI data center market

Nvidia shares are up after the company predicted strong growth in the AI data center market. This comes as no surprise, as Nvidia has been a leader in AI and machine learning for many years now. What is surprising, however, is just how much growth Nvidia is expecting in this area. According to Nvidia, the demand for AI in data centers will grow exponentially in the next few years. This is thanks to the increasing amount of data that is being generated every day, and the need to analyze this data quickly and efficiently. Nvidia is well-positioned to take advantage of this growth, with its powerful GPUs and close partnerships with many of the world's leading data center providers. This strong growth prospects in the AI data center market is just one of the many reasons why Nvidia's stock price is up today. Thanks to its strong position in this market, and its promising future prospects, Nvidia is a company to watch closely in the years to come.

Shares of Nvidia Corporation (NVDA) were up 5.27% to $251.65 in after-hours trading on Thursday after the company said it expects data center revenue to double in the next two years. The chipmaker made the forecast as part of its earnings report for the fourth quarter of fiscal 2018. Nvidia posted non-GAAP earnings of $1.78 per share on revenue of $2.91 billion for the quarter. Nvidia's data center business has been a major growth driver in recent quarters, and the company is now the leading provider of GPUs for deep learning. The company's strong fourth quarter results and optimistic outlook for the data center business are likely to continue to drive Nvidia's share price higher in the near term.