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).
More than 1,000 participants attending the NVIDIA AI Conference in Singapore next week are in for a treat as the organisers are bringing in a tantalising line-up of speakers.
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.
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.
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.
The cloud infrastructure services market is continuing to grow strongly, up 47 percent year on year in Q2 to reach US$14 billion, according to Canalys. Growth was driven by demand for primary cloud infrastructure services, such as on-demand computing and storage, across all customer segments and industries.
However, future growth is expected to be fueled by customers using the artificial intelligence (AI) platforms cloud service providers are building to develop new applications, processes, services, and user experiences.
Amazon Web Services (AWS) maintained its leadership position, growing 42 percent on an annual basis and accounting for more than 30 percent of total spend. But its growth rate was lower than those of its main rivals, Microsoft (up 97 percent growth) and Google (up 92 percent), but higher than fourth-placed IBM (up 23 percent). Overall, the top four cloud services providers represented 55 percent of the cloud infrastructure services market, which includes IaaS and PaaS.
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.
Fujitsu has introduced its fully refreshed range of Xeon-based dual- and quad-socket Primergy servers and octo-socket Primequest business critical server systems.
These new servers are powerful and flexible, enabling enterprises to build secure, agile, multi-cloud data centres.
Featuring the new IntelXeon scalable processors, the Fujitsu Server Primergy and Primequest business model server systems are designed for exceptional workload-specific performance and hardware-enhanced security. Built for trusted data service delivery, the new models represent significant leaps in I/O, memory, storage and network technologies.
The battle for cloud dominance has intensified with key players all growing significantly in Q1. The worldwide cloud infrastructure services market grew 42 percent year on year to reach US$11.4 billion, according to Canalys.
Amazon’s AWS maintained its leadership, holding a stable global market share of 31 percent. It was followed by Microsoft, Google and IBM.
In terms of growth, Microsoft led with 93 percent while Google was up 74 percent, AWS 43 percent, and IBM 38 percent.
NVIDIA has pulled yet another trick out of its always-filled hat of technology goodies with the launch of Volta, the world’s most powerful GPU computing architecture. At his keynote address at GTC in San Jose, NVIDIA CEO Jensen Huang dubbed it “the next level of computer projects”.
Volta is created to drive the next wave of advancement in artificial intelligence (AI) and high performance computing.
The first Volta-based processor is the NVIDIA Tesla V100 data centre GPU, which brings extraordinary speed and scalability for AI inferencing and training, as well as for accelerating HPC and graphics workloads.
The growth of cloud and industrialised services and the decline of traditional data centre outsourcing (DCO) indicate a massive shift toward hybrid infrastructure services, according to Gartner.
In a report containing a series of predictions about IT infrastructure services, Gartner analysts said that by 2020, cloud, hosting and traditional infrastructure services will come in more or less at par in terms of spending.
“As the demand for agility and flexibility grows, organizations will shift toward more industrialised, less-tailored options. Organisations that adopt hybrid infrastructure will optimise costs and increase efficiency. However, it increases the complexity of selecting the right toolset to deliver end-to-end services in a multisourced environment,” said DD Mishra, Research Director of Gartner.
NVIDIA and Microsoft are working on a new hyperscale GPU accelerator that will provide hyperscale data centres with a fast, flexible path for artificial intelligence (AI).
The new HGX-1 hyperscale GPU accelerator is an open-source design released in conjunction with Microsoft’s Project Olympus.
HGX-1 does for cloud-based AI workloads what ATX — Advanced Technology eXtended — did for PC motherboards when it was introduced more than two decades ago. It establishes an industry standard that can be rapidly and efficiently embraced to help meet surging market demand.
It’s amazing how a typo error can wreak havoc to a massive network. On Tuesday, thousands of websites using Amazon’s AWS cloud computing service were disrupted with broken links and partial functionality. And the cause is a typo in a command.
It took four hours and 17 minutes to track the cause and bring the 150,000 websites on Amazon’s Simple Storage Service (S3) back again. During the downtime, users could not access photos, logos, lists or data from the cloud.
According to USA Today, Amazon has apologised to its customers and “will do everything we can to learn from this event and use it to improve our availability even further.”
Fuji Xerox (Hong Kong) aims to ride the Internet of Things (IoT) wave with the introduction of Smart Device 2.0, which comprises three key IoT components — cloud application, big data analytics and integrated business workflow.
The new-generation mobile document management smart device consisting of hardware, software and cloud applications is designed particularly for enterprises that handle and manage excessive documents, such as financial and banking, construction and legal industries.
Smart Device 2.0 also works for enterprises and small-to-medium businesses with staff who always work on their mobile devices, because it enables the same working environment regardless of where they are. This smart device is becoming a workplace necessity that streamline workflow; employees are no longer bound by geographical restrictions and can stay connected to their office all the time, helping enterprises save time and costs, and better use their resources.
The public cloud services market in the mature Asia-Pacific (APAC) region — Australia, New Zealand, Singapore and South Korea — is forecast to grow 17.7 percent in 2017 to total US$10 billion, up from US$8.5 billion in 2016, according to Gartner.
By 2019, Gartner predicts that total public cloud services spending in these countries will rise to US$13.6 billion.
Public cloud services are shared, meterable, elastic and scalable multi-tenanted IT offerings delivered as a subscription-based service to external customers using internet technologies.
Fuji Xerox (Hong Kong) has launched Smart Device 2.0, a new document management smart device that lets businesses achieve smoother workflow as well as higher operational efficiency and productivity by 25 percent. It also helps companies address information technology challenges in a comprehensive manner.
Smart Work Gateway is a brand-new concept that swiftly interconnects cloud network, Smart Device 2.0 and user’s personal mobile device. Office employees can enjoy unprecedented convenience of connecting to their workplace anytime, anywhere. Work is no longer bounded by time or place.
“The all-new Smart Device 2.0, empowered by Smart Work Gateway, truly redefines the ‘smart workplace’ with user-centric and intuitive features, enabling enterprises to not only work smarter, but also build competitive edge and sustainable growth,” said Herbert Hui, Managing Director, Fuji Xerox (Hong Kong) (above).
As the next generation of Smart Device, the Smart Device 2.0 is analytics enabled, cloud enabled and business process enabled – all without the need for server support. Along with high scanning and printing speed, the redesigned multi-functional smart device features a brand-new Super EA-Eco Toner that delivers unrivaled print quality across large printing volumes, ensuring collateral produced will simultaneously achieve consistent quality, higher productivity and cost optimisation. Continue reading “Fuji Xerox Hong Kong announces Smart Device 2.0”→
Global IT services and business services revenues are expected to cross the US$1 trillion mark for the first time in 2018, according to IDC.
Worldwide services spending totals for 2016 are expected to stay within the US$900 billion range and by 2020 expected to near US$1.1 trillion.
With more than US$100 million worth of spending each this year, the largest services markets will be key horizontal business process outsourcing (BPO) and systems integration services, which will also generate the largest revenue pools over the 2016-2020 forecast period. Business Consulting Services is forecast to outpace both markets in terms of growth.
Alibaba Cloud has outpaced cloud service provider leaders with growth of 128 percent to reach US$221 million in Q3. However, AWS increased its lead, accounting for 32.2 percent of total spend, followed by Microsoft Azure with 17.3 percent and Google Cloud with 7.6percent, according to Canalys. Both Microsoft (up 115.6 percent) and Google (up 79.6 percent) grew faster than Amazon.
Global cloud infrastructure services expenditure increased 53.1 percent year on year to reach US$10 billion for the first time in Q.
“Alibaba has established itself as the largest e-commerce business in China and is starting to dominate the provision of cloud infrastructure services in the country,” said Daniel Liu, Research Analyst of Canalys.
The public cloud services market in India is projected to grow 30.4 percent in 2016 to hit US$1.26 billion, according to Gartner.
The highest growth will come from cloud system infrastructure services (infrastructure as a service [IaaS]), which is projected to grow 32.5 percent in 2016, with platform as a service (PaaS) projected to grow 31.7 percent.
“We are witnessing a shift from legacy IT services to cloud-based services. Cloud services are growing due to organizations pursuing a digital business strategy,” said Sid Nag, Research Director of Gartner.
The public cloud market in China will more than double in the next five years, from US$1.8 billion this year to US$3.8 billion in 2020, according to Forrester.
Two-thirds of Chinese software decision-makers surveyed by Forrester are making increased use of public cloud platforms a top priority over the next 12 months.
Enterprise public cloud platform vendors in China are improving in terms of their service diversity, simple abstraction for operational efficiency, and operational autonomy for on-demand elasticity. Forrester has evaluated the strengths and weaknesses of 11 cloud vendors Alibaba, AWS, ChinaC, DaoCloud, JD.com, Microsoft, MoPaaS, QingCloud, Tencent, UCloud, and UnitedStack.
NetApp has announced new Data Fabric solutions and services that deliver the data management capabilities organisations need to accelerate success in the hybrid cloud era.
With the new offerings, organisations can seamlessly manage data across whatever IT resource they choose, speeding innovation and enabling better business decisions.
“Management of digital data is essential for organisations to innovate faster and capture new revenue opportunities in a fast changing technology landscape,” said Lee Caswell, Vice President, Product, Solutions and Services Marketing, NetApp.
Following its announcement at VMworld in August, NVIDIA GRID 2.0 is now available in Australia.
The performance, efficiency and flexibility improvements in the latest release of NVIDIA GRID mean enterprise businesses can now deliver even the most graphics-intensive applications to any connected device virtually.
With NVIDIA GRID 2.0, employees can work from almost anywhere without delays in downloading files, increasing their productivity. IT departments can equip workers with instant access to powerful applications, improving resource allocation. And data can be stored more securely in a central server, rather than on individual systems.
Total spending on cloud IT infrastructure (server, storage, and Ethernet switch, excluding double counting between server and storage) will grow by 24.1 percent to reach US$32.6 billion in 2015, according to IDC.
This amount will account for a third of the overall end user spending on enterprise IT infrastructure, up from 27.9 percent in 2014. In comparison, spending on IT infrastructure deployed in traditional, non-cloud, environments will decline by 1.6 percent in 2015, although at US$66.8 billion will remain the largest segment of the market.
Spending on private cloud IT infrastructure in 2015 will grow by 15.8 percent year over year to US$12.1 billion, while spending on public cloud IT infrastructure will increase by 29.6 percent to US$20.5 billion.
Business intelligence and analytics are the top priorities of CIOs in Southeast Asia (SEA), according to a Gartner survey.Next on their list are mobile, ERP and cloud.
Eighty-four percent of CIOs in SEA recognise the need to adapt their leadership style in the next three years to succeed in digital business, compared with the global average of 75 percent. To achieve this, 69 percent said that they want to decrease their controlling approach to focus on significantly increasing their visionary and coaching attributes.
The annual survey covered more than 2,810 CIOs worldwide, representing more than US$397 billion in CIO IT budgets in 84 countries. It included responses from 117 CIOs from Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam.
ZTE has launched its new Unified Communication & Collaboration (UC&C) solution to help enterprises harness the power of mobility. It delivers cloud-based video conferencing and collaboration services for end users anywhere, anytime, supporting different devices and endpoints including software based MCU (multipoint control units), ET series endpoints, mobile applications and desktop clients.
The Cloud Conferencing Manager (CCM1000) is a software-based MCU that delivers high-definition and large capacity video conferencing capabilities, enabling s fast and flexible distributed deployment and providing support for virtualised platforms. With the CCM1000, customers require only 10 minutes to install the system and start videoconferencing calls.
The new ET501 is the latest next-generation smart terminal in ZTE’s video conferencing product portfolio, offering cost efficiency, compact design, and simple and quick deployment to all the end users. The ET501 also supports WiFi and AP functions, making it ideal for small to medium size enterprises (SMEs). ZTE’s VT100 mobile and desktop products can be installed on devices with Android, iOS, and Windows operating systems, supporting high-quality video conferencing for teleworkers in remote locations.
Imagine the power of shared GPUs? NVIDIA and VMware are showcasing how enterprises can leverage the power of shared GPU using VMware vSphere and NVIDIA GRID vGPU at vForums currently on in Singapore, Sydney and Tokyo.
NVIDIA GRID vGPU technology allows multiple virtual machines to share the power of a single GPU to deliver rich graphics experiences with professional 2D and 3D applications.
The partners are also pushing an early access programme that provides a technology preview of these technologies. Enterprises can try the GPU virtualisation and virtual application and desktop infrastructure, ahead of its general availability by signing up at www.nvidia.com/grid-vmware-vgpu. Those selected get to work directly with the engineering teams from both NVIDIA and VMware.