Super computer

At its AI Day, Tesla unveiled its Dojo supercomputer technology while flexing its growing in-house chip design talent. The automaker claims to have developed the fastest AI training machine in the world. For years now, Tesla has been teasing the development of a new supercomputer in-house optimized for neural net video training. Tesla is handling an insane amount of video data from its fleet of over 1 million vehicles, which it uses to train its neural nets. The automaker found itself unsatisfied with current hardware options to train its computer vision neural nets and believed it could do better internally. Over the last two years, CEO Elon Musk has been teasing the development of Tesla’s own supercomputer called “Dojo.” Last year, he even teased that 18) floating-point operations per second, or 1,000 petaFLOPS. It could potentially makes Dojo the new most powerful supercomputer in the world. Today, at Ganesh Venkataramanan, Tesla’s senior director of Autopilot hardware and the leader of the Dojo project, led the presentation. The engineer started by unveiling Dojo’s D1 chip, which is using 7 nanometer technology and delivers breakthrough bandwidth and compute performance: This is the second chip designed by the Tesla team internally after the FSD chip found in the FSD computer hardware 3 in Tesla cars. Venkataramanan had an actual D1 chip on stage: The engineer commented on the new D1 chip: This was entirely designed by Tesla team internally. All the way from the archit...

JERUSALEM, May 29 (Reuters) - Nvidia Corp Nvidia, the world's most valuable listed chip company, said the cloud-based system would cost hundreds of millions of dollars and be partly operational by the end of 2023. Gilad Shainer, a senior vice president at Nvidia, said Nvidia worked with 800 startups in Israel and tens of thousands of software engineers. The system, called Israel-1, is expected to deliver performance of up to eight exaflops of AI computing to make it one of the world's fastest AI supercomputers. One exaflop has the ability to perform 1 quintillion - or 1,000,000,000,000,000,000 - calculations per second. Shainer said AI was the "most important technology in our lifetime" and that to develop AI and generative AI applications large graphics processing units (GPUs) were needed. "Generative AI is going everywhere nowadays. You need to be able to run training on large datasets," he told Reuters, noting companies in Israel will have access to a supercomputer they don't have today. "This system is a large scale system that actually will enable them to do training much quicker, to build frameworks and build solutions that can tackle more complex problems." OpenAI's ChatGPT, for example, was created with thousands of Nvidia GPUs. The system was developed by the former Mellanox team. Nvidia bought Israeli chip designer Mellanox Technologies in 2019 for nearly $7 billion, outbidding Intel Corp. Shainer said Nvidia's first priority for the supercomputer was its Israeli...

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The U.S. is back on top of the list of the world's most powerful computer systems, as revealed by the Supercomputers are used for crunching numbers and data for advanced scientific applications ranging from molecular modeling to weather forecasting, quantum mechanics to nuclear fusion research, and much more. While calculations on a regular computer are measured in million instructions per second (MIPS), those on supercomputers are measured in floating-point operations per second (FLOPS) and currently supercomputers carry out hundreds of petaflops (10 15) every second. The fastest supercomputer in the world The latest review of the Top500 has brought in a new entrant at the top of the list. It is the Frontier system at the Oak Ridge National Laboratory (ORNL) in the U.S. The Frontier displaces the Fugaku system at the Riken Center for Computational Science (R-CCS) in Japan which held the top spot for a period of two years. The Frontier system is based on Hewlett Packard Enterprise (HPE)'s CrayEX platform which housesAMD EPYC 64C 2GHz processorsalong with AMDInstinct 250X professional GPUs. According to The combined computing power of these processing units was tested on an HPL benchmark which returned a score of 1.102 Exaflops (10 18) per second, the first for any supercomputer in the world. In comparison, Fugaku, which is theoretically an exascale supercomputer, manages a benchmark score of 442 petaflops per second. The Frontier system also features a 700 petabytes storag...