NetApp, a global, cloud-led, data-centric software company, announced that NetApp EF600 all-flash NVMe storage combined with the BeeGFS parallel file system is now certified for NVIDIA DGX SuperPOD. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases. Since 2018, NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies. NetApp's portfolio of NVIDIA-accelerated solutions includes ONTAP AI to eliminate guesswork for faster adoption by using a field-proven reference architecture as well as a preconfigured, integrated solution that is easy to procure and deploy in a turnkey manner.
NetApp, a global, cloud-led, data-centric software company, announced that NetApp EF600 all-flash NVMe storage combined with the parallel file system is now certified for NVIDIA DGX SuperPOD. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases. Since 2018, NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies. "The NetApp and NVIDIA alliance has delivered industry-leading innovation for years, and this new qualification for NVIDIA DGX SuperPOD builds on that momentum," said Phil Brotherton, Vice President of Solutions and Alliances at NetApp.
Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doubling down on productivity. "We're not going to fail on this digital transformation, because there's no option," said John Behnke, general manager in charge of smart manufacturing at Inficon. "All the fabs are collectively going to make 20% to 40% more product, but they can't get a new tool right now for 18 to 36 months. To leverage all this potential, we're going to overcome the historical human fear of change."
Nate writes about the intersection of education and technology. He's also worked as a newspaper staff writer covering K-12 and higher education, business, local government, and public safety. As the pandemic nears its third year, healthcare remains top of mind for many people. Intel on Tuesday gave three students a high-profile platform at Intel Vision 2022. These young innovators all chose to share how they'd use technology to address healthcare challenges.
Working as an aerospace engineer in Malaysia, Chee How Lim dreamed of building a startup that could really take off. Today his company, Tapway, is riding a wave of computer vision and AI adoption in Southeast Asia. A call for help in 2019 with video analytics led to the Kuala Lumpur-based company's biggest project to date. Malaysia's largest operator of toll highways, PLUS, wanted to reduce congestion for its more than 1.5 million daily travelers. A national plan called for enabling car, taxi, bus and truck traffic to flow freely across multiple lanes -- but that posed several big challenges.
Coral is Google's platform for adding on-device AI and inferencing capabilities to hardware. To make it more widely available, especially for Internet of Things use cases, Google is partnering with Asus IoT. Asus IoT is a sub-brand of Asus, and Google wants to scale manufacturing, distribution, and support for Coral with this agreement. With decades of experience in electronics manufacturing at a global scale, ASUS IoT will provide Coral with the resources to meet our growth demands while we continue to develop new products for edge computing. This will see Asus IoT "become the primary channel for sales, distribution and support" for Coral, with customers getting "dedicated teams for sales and technical support" in the process.
A new study from researchers at ETH Zurich's EcoVision Lab is the first to produce an interactive Global Canopy Height map. Using a newly developed deep learning algorithm that processes publicly available satellite images, the study could help scientists identify areas of ecosystem degradation and deforestation. The work could also guide sustainable forest management by identifying areas for prime carbon storage--a cornerstone in mitigating climate change. "Global high-resolution data on vegetation characteristics are needed to sustainably manage terrestrial ecosystems, mitigate climate change, and prevent biodiversity loss. With this project, we aim to fill the missing data gaps by merging data from two space missions with the help of deep learning," said Konrad Schindler, a Professor in the Department of Civil, Environmental, and Geomatic Engineering at ETH Zurich.
AMD plans to introduce processors next year that integrate AI engines from the company's recently acquired Xilinx FPGA business unit, which helped the chip designer deliver high sales growth in the first quarter along with the company's traditional PC and server businesses. CEO Lisa Su disclosed the plans for new AI-fueled CPUs during her company's first-quarter earnings call Tuesday, where she said the resulting microprocessors will "enable industry-leading inference capabilities" as part of broader plans to capitalize on AMD's $49 billion Xilinx acquisition. The AI engines are already being used in Xilinx's FPGA-based products for embedded and edge applications, including image recognition for cars, according to Victor Peng, Xilinx's former CEO who now leads AMD's Adaptive and Embedded Computing Group. Peng said AMD is working on developing "unified" software that will help developers take advantage of the new AI capabilities for both inference and training in datacenters and at the edge. Overall, Su said, Xilinx will allow AMD to have a "much broader set of offerings" in the AI hardware space that goes beyond the company's current capabilities with CPUs and GPUs.