Nvidia Unveils Latest Chips, Technology To Speed Up AI Computing

Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.

Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanometer process with 80 billion transistors and will be available in the third quarter, Nvidia said.Nvidia Corp on Tuesday announced several new chips and technologies that it said will boost the computing speed of increasingly complicated artificial intelligence algorithms, stepping up competition against rival chipmakers vying for lucrative data center business. Nvidia's graphic chips (GPU), which initially helped propel and enhance the quality of videos in the gaming market, have become the dominant chips for companies to use for AI workloads. The latest GPU, called the H100, can help reduce computing times from weeks to days for some work involving training AI models, the company said. The announcements were made at Nvidia's AI developers conference online. "Data centers are becoming AI factories processing and refining mountains of data to produce intelligence," said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the "engine" of AI infrastructure. Companies have been using AI and machine learning for everything from making recommendations of the next video to watch to new drug discovery, and the technology is increasingly becoming an important tool for business. The H100 chip will be produced on Taiwan Manufacturing Semiconductor Company's cutting edge four nanome