Role: Software Engineer Intern
Batch: 2024
Stipend: 75k Per Month
Location: Bangalore
Link for Apply here- bit.ly/3Z1rYOY
#AIcomputing
#SemicoComputing
Lets have a look about Nvidia
Nvidia: The AI-defeating Graphics Powerhouse
The graphics processing units (GPUs) that Nvidia creates are utilized in a wide range of applications, including gaming, artificial intelligence (AI), and data centers. Nvidia is a multinational technology corporation. The business’s headquarters are in Santa Clara, California, and it was established in 1993 by Jen-Hsun Huang, Curtis Priem, and Chris Malachowsky.
The GPUs from Nvidia are found in many different products, such as gaming consoles, mobile phones, and desktop PCs. The company’s Quadro line of GPUs is utilized in professional applications like CAD and video editing, while its GeForce brand of GPUs is the most widely used graphics card for gaming. GPUs from Nvidia are also available for data centers, where they are utilized to speed up workloads including machine learning and other forms of AI.
AI development has being spearheaded by Nvidia. A benchmark for AI picture classification, the ImageNet Large Scale Visual Recognition Challenge, was won by the company’s GPU-driven deep learning system in 2012. This accomplishment contributed to Nvidia becoming the market leader in AI.
Nvidia has increased the range of goods and services it offers in recent years, many of which are connected to artificial intelligence. The company’s Drive AGX Xavier platform is an autonomous vehicle-specific system-on-a-chip (SoC). The Jarvis AI platform from Nvidia is a cloud-based platform for developing and deploying AI applications.
Thanks to the company’s rapid expansion in the AI sector, Nvidia’s stock price has been on an upward trend in recent years. Nvidia’s sales increased by 53% and its earnings per share increased by 106% in 2020. In the last two years, the price of the company’s shares has more than doubled.
Nvidia is in a good position to expand its market share in AI. The business has a proven track record of innovation and offers a wide range of AI-related goods and services. The GPU market, which serves as the cornerstone of AI computing, is also led by Nvidia.
History:
Jen-Hsun Huang, Curtis Priem, and Chris Malachowsky created Nvidia in 1993. While employed for Sun Microsystems, the three founders met and decided to form their own business to create graphics processors.
The NV1 graphics chip, which was released in 1995, was Nvidia’s first item. Although the NV1 was not a financial success, it did contribute to the recognition of Nvidia as a player in the graphics industry.
A significant advancement was made when Nvidia unveiled the GeForce 256 graphics hardware in 1999. The first GPU to offer 3D graphics acceleration was the GeForce 256, which quickly became the norm for gaming graphics cards.
In the years that followed, Nvidia continued to develop in the graphics industry and released a number of popular products. The GeForce 8800 GTX, which was the first GPU to support DirectX 10, was made available by the firm in 2006. The GeForce GTX 480, the first GPU to utilise the new Kepler architecture, was announced by Nvidia in 2010.
Nvidia has increased the range of goods and services it offers in recent years, many of which are connected to artificial intelligence. The Tesla P100 GPU, which was created for deep learning applications, was released by the firm in 2016. The Drive PX2 platform, a system-on-a-chip (SoC) for autonomous vehicles, was made available by Nvidia in 2018.
Services and Goods
The three primary categories of Nvidia’s goods and services are graphics, artificial intelligence, and data centers.
GeForce graphics cards for gaming, Quadro graphics cards for business applications, and Tesla graphics cards for artificial intelligence are among the graphics products offered by Nvidia.
AI: The Drive AGX Xavier platform for autonomous vehicles, the Jarvis platform for cloud-based AI, and the Omniverse platform for 3D simulation and collaboration are just a few of Nvidia’s AI-related products and services.
Data Centers: Nvidia’s data center products include the Mellanox ConnectX-6 network adapter, the HGX A100 system for high-performance computing, and the DGX A100 system for AI training and inference.
Competitors
AMD and Intel are Nvidia’s major rivals in the graphics industry. Google, IBM, and Microsoft are Nvidia’s principal rivals in the AI sector.
Financials
$26.9 billion was Nvidia’s sales in 2022, and its earnings per share.
#nvidia #graphics