NVIDIA has announced the NVIDIA EGX Edge Supercomputing Platform which lets organisations deliver next-generation AI, IoT and 5G-based services at scale and with low latency. Along with annoucing this at his keynote address at the opening of Mobile World Congress in Los Angeles, NVIDIA Founder and CEO Jen-Hsun Huang declared that we have entered a new era, where billions of always-on IoT sensors will be connected by 5G and processed by AI.
Datacenters.com has launched Colocation Marketplace, claimed to be the “first platform to offer transparent co-location pricing from numerous providers to all visitors in an e-commerce platform”.
Ahead of the VMWorld in San Francisco next week, VMware has announced two major acquisitions — Pivotal for US$2.7 billion and Carbon Black for US$1.9 billion.
Just two months after it’s acquisition of data visualisation firm Tableau, Salesforce has gone shopping again. This time, it has bagged ClickSoftware for US$1.35 billion.
IBM has acquired Red Hat for US$34 billion, one of the biggest technology deals of all time — bettered only by Dell’s purchase of EMC for US$65 billion and Avago’s buyout of Broadcom for US$37 billion, both in 2015.
Hands up if you’ve not heard of Corel before. Does the company sound vaguely familiar? Founded in the 1980s, this is a company that is well past its glory days. Corel used to be a well-known brand in the PC era with products such as Corel Draw and WinZip.
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.
High-performance server maker AMAX has launched the DL-E48A, a reconfigurable single/dual root high-density GPU platform designed for artificial intelligence (AI) training and inference.
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.
Virtual reality (VR) has been tipped to be the next innovative technology to improve and impact retail and marketing.
VRgineers is harnessing the potential of the new NVIDIA Quadro GV100 GPU for its high-resolution virtual reality (VR) headset, enabling even complex 3D scenes, high-poly models and high-resolution textures to perform smoothly at full refresh rates.
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.
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.
“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.
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 Intel Xeon 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.
OpenSynergy’s COQOS SDK v9.0 virtualisation platform now supports ARMv8-A architectures.
The 64-bit bus width of the ARMv8-A processors makes it possible to meet the high performance requirements of the next generation automotive ECU’s such as cockpit controllers or driver assistance systems.
“With COQOS SDK v9.0, we enable our customers to take full advantage of the newest automotive system-on-chips (SoCs),” said Stefaan Sonck Thiebaut, CEO of OpenSynergy.
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.
Oversupply of oil in the global economy is set to accelerate data centre investment, according to Canalys, which forecasted that the large data centre segment will grow eight percent in 2016 as enterprises and service providers become more ambitious with the size of their facilities.
Oil prices have declined more than 70 percent since mid-2014, and will remain low as production ramps up across the US and Middle East. Data centres, with their monolithic energy consumption, will benefit from cheaper electricity as wholesale gas prices decline. Investment will focus on larger facilities, as energy becomes less of a constraint on operating costs.
Cheaper oil will accelerate a market that is already growing. Pre-eminent cloud service providers have already reacted to data sovereignty concerns by investing in the expansion of their global cloud footprint. This will continue and industry standard servers, network security and virtualisation technologies will become key growth categories. Incumbent data centre infrastructure vendors will pivot their focus towards high-end large and hyperscale facilities, but will face stiff competition from cheaper ODM alternatives.
Virtualisation just got a little turbo charge with the introduction of NVIDIA GPU-enabled professional graphics applications and accelerated computing capabilities to the Microsoft Azure cloud platform.
Microsoft is the first to leverage NVIDIA GRID 2.0 virtualised graphics for its enterprise customers.
Businesses will have a range of graphics prowess — depending on their needs. They can deploy NVIDIA Quadro-grade professional graphics applications and accelerated computing on-premises, in the cloud through Azure, or via a hybrid of the two using both Windows and Linux virtual machines.
At GTC South Asia, Monash University shared how it has leveraged GPU technology to transform the way research is done. Entelechy Asia catches up with the university’s Professor Paul Bonnington (Professor and Director of E-research […]
Remote access to rich graphics applications is now possible with VMware Horizon 6 and vSphere 6 and NVIDIA GRID vGPU. Launched last August, an early access programme has attracted more than 300 customers, including University of Southern California, […]
NetApp has announced the NetApp EF600 all-flash array that delivers the consistent latency, bandwidth and IOPS critical to enterprise database and analytics applications. Based on a new Storage Performance Council SPC-1 Result, the all-flash EF560 […]
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.
VMware and NVIDIA have announced that Airbus Group, CH2MHILL and MetroHealth are among the first to join their early access programme to try the latest technology for GPU virtualisation and virtual application and desktop infrastructure, ahead of its general availability.
Customers selected to participate in the programme have deployed a technology preview of the solution. They get to work directly with the engineering teams from both NVIDIA and VMware, and provide direct input about their experiences — influencing future products, training, documentation and services.
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. Combined with VMware Horizon, the technology can deliver a great user experience and the scalability that IT teams require for the most demanding users in their organizations.