The Google Cloud Platform running on NVIDIA Tesla T4 GPUs (above) has been beta launched in Singapore, availing the power of GPU cloud computing to customers around the region. Continue reading “Google avails NVIDIA Tesla T4 GPUs on Google Cloud Platform in Singapore”
IBM has announced its US$34 billion acquisition of open source leader Red Hat. The move has been dubbed a “game-changer” by Ginni Rometty, IBM Chairman, President and Chief Executive Officer, who added that it changes everything about the cloud market. Continue reading “IBM in “game-changer” Red Hat acquisition”
Names such as Ampotech, Plunify, SHADO, and XNERGY may not ring a bell today but with a little help from Infineon, they may well become the successes of tomorrow.
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.
WhatsApp backup will no longer count towards Google Drive storage quota, thanks to a new agreement between the two companies.
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.
China e-commerce firm Suning Tesco has opened the first pilot route for unmanned aerial vehicle (UAV) logistics and transportation in Wuhan, China. Its logistics arm Suning Logistics and Ewatt Aerospace jointly developed two UAVs for this purpose.
IBM has scored a massive win with a five-year A$1 billion agreement with the Australia government.
Dell EMC turned in a stellar performance in Q1 by growing 51.4 percent in server revenue, enabling it to widen the gap with second-place Hewlett Packard Enterprise (HPE) which nevertheless grew an impressive 21.5 percent.
Power efficient chipsets are set to be the main driver as artificial intelligence (AI) moves makes a significant shift from the cloud to the edge, according to ABI Research.
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.
China’s biggest initial public offering (IPO) since 2015 will come to pass if Foxconn Industrial Internet hits its target of 27.1 billion yuan on May 24.
The number is staggering even if the company is Amazon. Jeff Bezos has announced that Amazon Prime has more than 100 million members globally.
Expereo and SecureOps have formed a strategic partnership to provide total network security for enterprises.
One of the most eye-catching demo during NVIDIA CEO Jensen Huang’s keynote address at GTC 2018 is Project Clara.
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.
For the past few years, data scientists are highly sought after to analyse data that can help organisations better understand their business, customers and trends. But, it looks like artificial intelligence-based solutions may be taking over that role in the near future.
NVIDIA’s Volta architecture is leaving quite an impression. According to a NVIDIA press release issued at SC17, the Volta-based NVIDIA Tesla V100 GPU is available through every major computer maker and chosen by every major cloud to deliver artificial intelligence (AI) and high performance computing.
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.
The role of the CIO is changing, according to a Gartner survey of 3,160 CIO respondents in 98 countries.
The findings revealed that the CIO role is transitioning from delivery executive to business executive, from controlling cost and engineering processes, to driving revenue and exploiting data.
Ninety-five percent of CIOs expect their jobs to change or be remixed due to digitalisation. While world-class IT delivery management is a given, it will take up less and less of the CIO’s time.
China’s top technology companies are betting big on the NVIDIA Volta platform.
Alibaba Cloud, Baidu, and Tencent are incorporating NVIDIA Tesla V100 GPU accelerators into their data centres and cloud-service infrastructures to accelerate AI for a broad range of enterprise and consumer applications.
At the heart of the new Volta-based systems is the NVIDIA V100 data centre GPU. Built with 21 billion transistors, it provides a 5x improvement over the preceding NVIDIA Pascal architecture P100 GPU accelerators, while delivering the equivalent performance of 100 CPUs for deep learning. This performance surpasses by 4x the improvements that Moore’s law would have predicted over the same period of time.
Inspur, Lenovo and Huawei are using the NVIDIA HGX reference architecture to offer Volta-based accelerated systems for hyperscale data centres. Using HGX as a starter “recipe,” original equipment manufacturer and original design manufacturer partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centres to meet the industry’s growing demand for AI cloud computing.
Google has expanded its NVIDIA GPU offerings on the Google Cloud Platform. These include:
- Performance boost with the public launch of NVIDIA P100 GPUs in beta
- NVIDIA Tesla K80 GPUs available on Google Compute Engine
- Introduction of sustained use discounts on both the Tesla K80 and P100 GPUs
According to a Google Cloud Platform blog, cloud GPUs can accelerate workloads including machine learning training and inference, geophysical data processing, simulation, seismic analysis, molecular modeling, genomics and many more high performance compute use cases.
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.