NVIDIA's H100 chips are used by nearly every AI company in the world to train large language models hooked into services like ChatGPT. It's been great for business. Now, the company is ready to make those chips look terrible, announcing a next-generation platform called Blackwell. Named for David Harold Blackwell, a mathematician who specialized in game theory and statistics, NVIDIA claims Blackwell is the world's most powerful chip, reaching speeds of 20 petaflops compared to just 4 petaflops the H100 provided. Yeah, throw it in the trash.

In less than two years, NVIDIA's H100 chips, which are used by nearly every AI company in the world to train large language models that power services like ChatGPT, made it one of the world's most valuable companies. On Monday, NVIDIA announced a next-generation platform called Blackwell, whose chips are between seven and 30 times faster than the H100 and use 25 times less power. "Blackwell GPUs are the engine to power this new Industrial Revolution," said NVIDIA CEO Jensen Huang at the company's annual GTC event in San Jose attended by thousands of developers, and which some compared to a Taylor Swift concert. "Generative AI is the defining technology of our time. Working with the most dynamic companies in the world, we will realize the promise of AI for every industry," Huang added in a press release.

The global artificial intelligence (AI) market is expected to reach the trillion-dollar mark by 2030, and just as it has done with the global automotive industry, Tesla looks set to absorb a considerable amount of market share. This is all thanks to Dojo, the supercomputer set to drive the most sophisticated (and fastest) AI training machine to date. What is Project Dojo, and why does it matter? Necessity breeds innovation: Tesla's million-plus fleet of vehicles generates huge amounts of data, and the self-driving systems behind them require vast sums of real-world data. The computational demands for training these neural nets are huge, and since Tesla didn't want to be limited by the general-purpose graphics processing units (GPUs) available, it decided to build something better.

British semiconductor firm Graphcore has unveiled the first Wafer-on-Wafer (WoW) processor alongside setting out its roadmap for an "ultra-intelligence AI supercomputer". The chip unveiled today, the Bow IPU, is the world's first processor to be based on TSMC's Wafer-on-Wafer (WoW) technology. "TSMC has worked closely with Graphcore as a leading customer for our breakthrough SoIC-WoW solution as their pioneering designs in cutting-edge parallel processing architectures make them an ideal match for our technology," said Paul de Bot, GM of TSMC Europe. Compared to its predecessors, Graphcore claims that its Bow IPU offers up to 40 percent higher performance and 16 percent better power efficiency for real-world AI applications. In terms of power, Graphcore says the flagship Bow Pod delivers more than 89 petaFLOPS of AI compute.

Tesla's full self-driving system is taking shape -- and it's using an intricate tile to bring it to life. Earlier this month, the company hosted an Artificial Intelligence Day where it detailed its in-house capabilities. Tesla's upgraded computer systems are building out the company's planned autonomous driving feature, which will enable vehicles built after October 2016 to drive from A to B without any human intervention. During the event, Tesla unveiled the "training tile" designed to bring the feature to life. Want to find out more about the latest in the world of Tesla?

He said the system will enable research breakthroughs at a scale and speed previously impossible with global impact potentially benefiting millions. Its first projects with AstraZeneca, GSK, Guy's and St Thomas' NHS Foundation Trust, King's College London and Oxford Nanopore Technologies include developing a deeper understanding of brain diseases like dementia, using AI to design new drugs and improving the accuracy of finding disease-causing variations in human genomes. Cambridge-1 is the first NVIDIA supercomputer designed and built for external research access. The company will collaborate with researchers to make much of this work available to the greater scientific community. The system is located at a facility operated by NVIDIA partner Kao Data. Cambridge-1 is the first supercomputer NVIDIA has dedicated to advancing industry-specific research in the U.K. The company also intends to build an AI Center for Excellence in Cambridge featuring a new Arm-based supercomputer, which will support more industries across the country.

Artificial Intelligence (AI) is one of the most powerful technological forces in this era and, while it began in the data centre, it's moving quickly to the edge. NVIDIA's Charlie Boyle says that one of the biggest things the sector is seeing – which started at the end of 2020 but accelerated into 2021 – is the idea of an AI centre of excellence for companies and institutions. "There's a big change from what we were seeing a few years ago. Previously, when people worked on AI, it would tend to start small, getting some results and would grow over time," he explains. "We are engaging with a lot of customers today, who have realised that starting very small and growing organically may not get them the results they need in the next couple of years. Before, an individual researcher or a small team may procure one or two systems, a little bit of infrastructure, some networking and storage. "Now, we are seeing that more at a strategic level inside of the company where, in order to achieve even basic results, management is realising it needs a critical mass of infrastructure to carry out the experiment to drive the applications that they need.

We Fools may not all hold the same opinions, but we all believe that considering a diverse range of insights makes us better investors. Follow Anders on Twitter, LinkedIn, and Google . Semiconductor designer NVIDIA (NASDAQ:NVDA) today announced that it is building the United Kingdom's most powerful supercomputer ever. Dubbed Cambridge-1, the system will give healthcare researchers access to impressive artificial intelligence (AI) tools. The $52 million Cambridge-1 will be installed at the university it's named after, and is scheduled to come online by the end of 2020.

Through a new partnership with GlaxoSmithKline, AstraZeneca and the U.K.'s National Health Service, the chip maker Nvidia plans to build Great Britain's most powerful supercomputer--and dedicate its use to artificial intelligence research in healthcare. Dubbed Cambridge-1, the machine is designed to deliver 400 petaflops of performance, or 400 quadrillion floating-point calculations per second. When presented with dense systems of linear equations used in AI--such as simulations of molecular models and chemical interactions among potential drug compounds--it is expected to provide 8 petaflops of supercomputing power, ranking it number 29 on the list of the world's fastest. It is slated to come online before the end of the year, with GSK and AstraZeneca among the first drugmakers to use the system. Researchers from King's College London, Oxford Nanopore and the Guy's and St. Thomas' NHS Foundation Trust will also have access.

Chris' note: Last night, 25,997 of your fellow readers tuned in to watch Silicon Valley insider Jeff Brown's Beyond Exponential summit. It's easy to see why it was so popular… Jeff has handed readers the chance to close out gains of 221%, 239%, and even 332% from stocks that harness the power of exponential growth. And after crisscrossing the U.S. during the pandemic, he revealed for the first time his No. 1 way to profit from exponential tech over the next decade. Then read on below to hear from Jeff on why one of the best hunting grounds for exponential growth plays is artificial intelligence (AI). In the summer of 1956, John McCarthy was a young assistant professor of mathematics at Dartmouth College. He met with other scientists to discuss a topic that most people considered science fiction… thinking machines.