Hewlett-Packard Enterprise (HPE) is on the acquisition trail again with the purchase of supercomputing pioneer Cray for US$1.3 billion. Continue reading “HP Enterprise buys Cray for US$1.3b”
The race to have the world’s fastest supercomputer has taken on a new spin with the US Department of Energy commissioning Cray to build the most powerful yet by 2021. Called Frontier, the new 1.5-exaflop supercomputer will be built on built on Cray’s Shasta supercomputing platform using AMD EPYC CPUs and Radeon Instinct GPUs. Continue reading “Cray to build world’s fastest supercomputer for US government”
NVIDIA has reached a US$6.9 billion agreement to acquire Mellanox, a supplier of end-to-end Ethernet and smart interconnect solutions and services for servers and storage. Continue reading “NVIDIA to acquire Mellanox”
It’s no dinosaur but the newly-announced NVIDIA Titan RTX, dubbed T-Rex, is certainly very powerful — to the tune of 130 teraflops of deep learning performance and 11 GigaRays of ray-tracing performance. Continue reading “NVIDIA unleashes powerful ‘T-Rex’ GPU”
A six-person team from Nanyang Technological University (NTU) has achieved 56.51 teraflops, the highest Linpack score — a measurement of a system’s floating point computing horsepower — in a global supercomputing competition held in conjunction with SC18 in Dallas. Continue reading “NTU achieves highest Linpack score in global supercomputing competition”
The world’s top two supercomputers — – the US Department of Energy’s Summit, at Oak Ridge National Laboratory, and Sierra, at Lawrence Livermore National Lab. — pack a combined total of more than 40,000 NVIDIA V100 Tensor Core GPUs, according to the latest of the Top 500 list released in conjunction with SC18. Continue reading “NVIDIA GPUs power a quarter of Top 500 supercomputers”
Taiwan’s Chinese Medical University Hospital (CMUH) has become the first healthcare provider in Asia to deploy and operate the NVIDIA DGX-2 AI supercomputer. Continue reading “Taiwan hospital deploys NVIDIA DGX-2 for next-generation medical services”
The first NVIDIA AI Conference in Sydney on September 4 will kick off with two keynote addresses. Marc Hamilton, Vice President of Solutions Architecture and Engineering, NVIDIA, will talk about Transforming Industries With AI. Jason Humphrey (right), Head of Retail Risk, ANZ Bank, will then share on Creating the Infrastructure to Undertake Deep Learning.
NetApp has introduced NetApp ONTAP AI proven architecture to simplify, accelerate and scale the data pipeline across edge, core and cloud for deep learning deployments and to help customers achieve real business impact with AI.
Daimler and Bosch have chosen NVIDIA Drive Pegasus AI supercomputer to power their robotaxis, which are expected to start testing in Silicon Valley next year.
On June 13, Intel had the GPU world in a flurry when it tweeted “Intel’s first GPU coming in 2020”. The media were quick to post stories of this incoming new GPU, which would add interesting competition to a market dominated by NVIDIA with AMD a distant second.
The United States has regained its pole position at the fastest supercomputer race with the aptly named Summit.
Taiwan is going big on artificial intelligence (AI) and its Ministry of Science and Technology (MOST) will be collaborating with NVIDIA on AI initiatives.
NVIDIA has introduced the NVIDIA HGX-2, the first unified computing platform for both artificial intelligence (AI) and high performance computing (HPC).
Information and communications technology (ICT) spending in Asia/Pacific (excluding Japan) will hit US$1.5 trillion in 2021, according to IDC.
Security is a major concern in airports, government buildings and major infrastructures around the world. Governments need to be able to quickly identify potential threats among the many people that enter and exit their countries daily. An effective facial recognition system is critical in safeguarding the country and critical infrastructures.
Tokyo-based startup incubator DEEPCORE is partnering NVIDIA to support AI startups and promote university research programmes across Japan.
NVIDIA CEO Jensen Huang (above) dubbed it the “world’s biggest GPU”. And he certainly wasn’t kidding as the NVIDIA DGX-2 is a massive 350-pounder that delivers an amazing two petaflops of computational power.
The GPU Technology Conference (GTC) has hit new highs with a record of more than 8,000 participants, and filling the entire San Jose McEnery Convention Center.
Marina Bay Sands Expo and Convention Centre was a hive of activities of a different sort as more than 700 technologists from 21 countries converged for EmTech Asia on January 30 and 31.
Think artificial intelligence (AI) and the advent of powerful thinking machines and images of Arnold Schwarzenegger of The Terminator come to mind.
It’s easy to understand why the media and gamers were getting all excited following NVIDIA’s announcement of the Titan V. After all, it’s dubbed as “the world’s most powerful GPU for the PC, driven by the world’s most advanced GPU architecture, NVIDIA Volta”.
Singapore’s aim to be an artificial intelligence (AI) hub has been boosted with two initiatives — the setting up of a shared AI platform for researchers and the awarding of scholarships to develop AI talents.
At the NVIDIA AI Conference in Singapore yesterday, NVIDIA and Singapore’s National Supercomputing Centre (NSCC) agreed to establish a platform to bolster AI capabilities among its academic, research and industry stakeholders and in support of AI Singapore (AISG), a national programme set up in May to drive AI adoption, research and innovation in Singapore.
Called AI.Platform@NSCC, it will provide AI training, technical expertise and computing services to AISG, which brings together all Singapore-based research and tertiary institutions, including the National University of Singapore (NUS), Nanyang Technological University (NTU), Singapore University of Design and Technology (SUTD), Singapore Management University (SMU), as well as research institutions in the Agency for Science, Technology and Research (A*STAR).
The two keynote speakers are Dr David B Kirk, NVIDIA Fellow and inventor of more than 60 patents and patent applications relating to graphics design; and Dr Wanli Min, AI scientist of Alibaba Cloud, who will touch on A Revolutionary Road to Data Intelligence.
Besides these two, there are special guest-of-honour Chng Kai Fong, Managing Director of Singapore’s Economic Development Board, and a panel discussion on AI for the Future of Singapore Economy.
With artificial intelligence (AI) being a hot topic this year, NVIDIA is organising its first AI-focused regional conference in Singapore on October 23 and 24.
The event will be held in two parts with the first day focusing on Deep Learning Institute (DLI) workshop where participants will received hands-on training on deep learningl and the second day filled with keynote addresses, panel discussion and three tracks. It is targeted at data scientists and senior decision makers in the field of AI in both public and private sectors.
“Singapore is aiming to be the world’s first smart nation and AI is playing a critical role. NVIDIA is well positioned to help drive the government’s Smart Nation initiative with the development of solutions based on AI. Our GPUs are making headlines across the world by enabling many breakthroughs in various industries using deep learning,” said Raymond Teh, Vice President of APAC sales and marketing at NVIDIA.
“I’m amazed at the quality of the papers presented. The project teams’ line of thinking and breakthrough concepts are refreshing,” exclaimed a leading artificial intelligence (AI) scientist at the International Conference on Machine Learning (ICML) in Sydney.
International Convention Centre Sydney was a massive hive of activities as 3,000 of the world’s top researchers, developers and students in AI gathered for ICML. The participants moved rapidly from one workshop to another and took great interest in the exhibition booths of top deep learning proponents such as NVIDIA, Google and Facebook.
With so many bright young talents. the event proved to be a good fishing ground for vendors as they held recruitment interviews at their booths, as well as posted openings on the board.
They were participating in Computer Vision and Pattern Recognition (CVPR) conference in Honolulu.
“AI is the most powerful technology force that we have ever known. I’ve seen everything. I’ve seen the coming and going of the client-server revolution. I’ve seen the coming and going of the PC revolution. Absolutely nothing compares,” said Jensen Huang, CEO of NVIDIA.
NVIDIA is bringing its wealth of artificial intelligence (AI) solutions and expertise to the International Conference on Machine Learning (ICML) in Sydney.
Held at Sydney International Convention Centre from August 6 to 11, the event is expected to attract up to 3,000 participants, primarily faculty, researchers and PhD students in machine learning, data science, data mining, AI, statistics, and related fields.
The NVIDIA booth (Level 2, The Gallery, Booth #4) will feature many firsts in Australia, such as demos on 4K style transfer, a deep neural network to extract a specific artistic style from a source painting, and then synthesises this information with the content of a separate video; self-driving auto using the Drive PX2 AI car computing platform; Deepstream SDK that simplifies development of high performance video analytics applications powered by deep learning; and NVIDIA Isaac, the AI-based software platform lets developers train virtual robots using detailed and highly realistic test scenarios.
NVIDIA and Baidu have teamed up to bring artificial intelligence (AI) technology to cloud computing, self-driving vehicles and AI home assistants.
Baidu will deploy NVIDIA HGX architecture with Tesla Volta V100 and Tesla P4 GPU accelerators for AI training and inference in its data centres. Combined with Baidu’s PaddlePaddle deep learning framework and NVIDIA’s TensorRT deep learning inference software, researchers and companies can harness state-of-the-art technology to develop products and services with real-time understanding of images, speech, text and video.
To accelerate AI development, the companies will work together to optimise Baidu’s open-source PaddlePaddle deep learning framework on NVIDIA’s Volta GPU architecture.
NVIDIA is among six technology companies to receive a total of US$258 funding from the US Department of Energy’s Exascale Computing Project (ECP).
The funding is to accelerate the development of next-generation supercomputers with the delivery of at least two exascale computing systems, one of which is targeted by 2021.
Such systems would be about 50 times more powerful than the US’ fastest supercomputer, Titan, located at Oak Ridge National Laboratory.