Our Love of Data May Be “Unsustainable,” as Surging Power Demand Takes Environmental Toll, Researcher Warns

Karma Impact | January 07, 2020

Artificial intelligence, higher-speed 5G cellular networks, and streaming services like Netflix  may be making our lives easier, but there’s a cost: skyrocketing demand for energy that will have a huge impact on the environment. As the world depends more on smart devices that use data, tech companies are building immense facilities housing stacks and stacks of servers handling thousands of gigabytes of digital traffic. These data centers may consume up to 651 terawatt-hours of electricity in the next year, almost as much as the entire energy sector of Canada can produce, Anders Andrae, a researcher at Huawei Technologies Sweden, told CBC News. Andrae predicted data centers may more than double their power demands over the next decade, and that hunger for energy may lead to an “unsustainable” situation by 2040.

Spotlight

Learn more about why you should modernize your IT infrastructure and how to improve infrastructure through the modernization in the infographic below. You can also download a pdf version of the infographic.

Spotlight

Learn more about why you should modernize your IT infrastructure and how to improve infrastructure through the modernization in the infographic below. You can also download a pdf version of the infographic.

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HYPER-CONVERGED INFRASTRUCTURE, APPLICATION INFRASTRUCTURE

Evocative Signs Definitive Agreement to Acquire 9 INAP Data Centers

Evocative | September 15, 2022

Evocative, a global provider of Internet infrastructure, announces today its intent to acquire the majority of INAP’s data center facilities. The acquisition will consist of 9 data centers, including colocation and related network services. The acquisition of INAP’s data centers adds to Evocative’s existing data center footprint with new facilities in Boston, New Jersey, Atlanta, Dallas, Los Angeles (2), Silicon Valley (2), and Seattle. With the facilities acquired from INAP, Evocative’s portfolio increases to 20 operating data center colocation facilities and 60+ global Points of Presence. In addition to the data center asset acquisition, Evocative also plans to welcome several INAP employees associated with the INAP data center business to the Evocative team. In doing so, the company will grow by 30%. The acquisition is expected to close within the next few weeks, bringing Evocative’s data center presence to: 20 carrier neutral Tier II and Tier III data centers in the United States 1,080,000 square feet of data center space with significant expansion space 108 MW of available power with an additional 25% expansion capability Over 500+ carriers across the portfolio including direct public cloud on-ramps 2,000+ carrier, content, and enterprise clients “Foremost, we welcome our new clients and employees to Evocative. We are honored and humbled to be your new partner. We are excited to share the strength of Evocative's digital infrastructure capabilities with our clients. “We know the importance of enterprise digital enablement. We built a company that offers a comprehensive suite of solutions from the physical foundation up the stack to enable the delivery of highly secure, hosted data services,” Khalili added. Arman Khalili, Founder and CEO of Evocative With organic growth and its acquisition strategy further advanced by the INAP data center purchase, Evocative has emerged as a leading enterprise digital infrastructure provider. Evocative is well positioned to continue its exponential growth with a clear focus on providing best-in-class IT infrastructure and a full suite of services. The acquisition is expected to close in Q3, 2022, following the standard closing process. About Evocative Evocative is a global leader in enterprise-class data center, bare metal, network, cloud, and managed services solutions that enable exceptional digital experiences. Evocative’s global footprint includes interconnected data centers and points of presence supporting over 68,000 servers across strategically located metros in North America, Europe, and Asia regions. Through organic growth and strategic acquisition, the company continues to expand its presence to power enterprise workloads at the edge. Evocative is dedicated to helping drive digital businesses forward, now and in the decades to come.

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NTT Opens New Data Center in South Africa to Support Growing Digital Economy

NTT Ltd. | October 27, 2022

NTT Ltd., a leading IT infrastructure and services company, today announced the opening of its latest data center in Johannesburg, South Africa. Johannesburg 1 Data Center is part of NTT’s expansion into the African continent with a capacity of 12MW covering 6,000m² of IT space once fully built out. The technical infrastructure is supported by N+1 uninterruptible power supply systems (UPS), N+1 generator backup, and highly redundant cooling systems. This will provide clients with dedicated sustainable infrastructure, operational control and the design flexibility required to support their high-performance needs. The facility will cater to hyperscalers and enterprises, providing them with an opportunity to use NTT’s full ICT stack of services, including managed hybrid cloud, network management, collaboration, security, and application monitoring. Africa is experiencing a digital boom, with a population expected to double by 2050. Estimates show that 615 million users in sub-Saharan Africa will subscribe to mobile services by 2025, a 24% increase from 2020. This growth and reliance on technology is fueling digital transformation initiatives and demand for high-performing data center space. NTT is planning to accelerate its data center footprint in Johannesburg and other African cities to support this growth over the next several years. The new facility uses a closed-loop chilled water system with air-cooled chillers, meaning that the water running through the cooling systems isn’t evaporated. This reduces the threat of potential drought water restrictions and allows the data center to achieve low power usage effectiveness (PUE) and water usage effectiveness (WUE). “We’re incredibly proud to be investing in Johannesburg and extending our global data center footprint to South Africa. The country forms a significant part of NTT’s growth strategy as we continue to support Africa’s digital transformation. The opening of Johannesburg 1 will contribute towards the economic growth and social development of the region, as our clients shape the country of tomorrow.” Florian Winkler, CEO, Global Data Centers EMEA, NTT Ltd “Our presence in Africa is underpinned by the significant digital change we’re seeing across the continent. Companies providing new digital services need data center space with high power density, global connectivity, carrier neutrality, cloud network access, and on-site support to ensure they can continue to grow,” added Michael Abendanon, Head of MEA, Global Data Centers EMEA, NTT Ltd. NTT is recognized as one of the leading data center businesses with recent openings in Madrid, Jakarta, Navi Mumbai, and Berlin, with further expansions planned in Ho Chi Minh City, Prince William County, Virginia and Cyberjaya. The data centers will align with NTT’s commitment to achieve net-zero emissions across its data center operations by 2030 and the complete value chain by 2040. NTT is focused on ensuring its portfolio is powered by renewable energy by 2030 and that it applies energy efficiency measures where required. About NTT Ltd. As part of NTT DATA, a USD 30 billion IT services provider, NTT Ltd. is a leading IT infrastructure and services company serving 65% of the Fortune Global 500 and more than 75% of the Fortune Global 100. We lay the foundation for organizations’ edge-to-cloud networking ecosystem, simplify the complexity of their workloads across multicloud environments, and innovate at the edge of their IT environments where networks, cloud and applications converge. We offer tailored infrastructure and ensure consistent best practices in design and operations across all of our secure, scalable and customizable data centers. On the journey towards a software-defined future, we support organizations with our platform-delivered infrastructure services. We enable a connected future.

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Run:ai Launches Full-Stack Solution for Hyper-Optimized Enterprise AI Built on NVIDIA DGX Systems

Run:ai | November 11, 2022

Run:ai, the leader in compute orchestration for AI workloads, today announced the launch of the Run:ai MLOps Compute Platform (MCP) powered by NVIDIA DGX™ Systems, a complete, full-stack AI solution for enterprises. Built on NVIDIA DGX systems and using Run:ai Atlas software, Run:ai MCP is an end-to-end AI infrastructure platform that seamlessly orchestrates the hardware and software complexities of AI development and deployment into a single solution, accelerating a company's ROI from artificial intelligence. Organizations are increasingly turning to AI to grow revenue and improve efficiency. However, each level of the AI stack, from hardware to high-level software, can create challenges and inefficiencies, with multiple teams competing for the same limited GPU computing time. "shadow AI," where individual teams buy their own infrastructure or use pricey cloud compute resources, has become common. This decentralized approach leads to idle resources, duplication, increased expense and delayed time to market. Run:ai MCP is designed to overcome these potential roadblocks to successful AI deployments. "Enterprises are investing heavily in data science to deliver on the promise of AI, but they lack a single, end-to-end AI infrastructure to ensure access to the resources their practitioners need to succeed," said Omri Geller, co-founder and CEO of Run:ai. "This is a unique, best-in-class hardware/software AI solution that unifies our AI workload orchestration with NVIDIA DGX systems — the universal AI system for every AI workload — to deliver unprecedented compute density, performance and flexibility. Our early design partners have achieved remarkable results with MCP including a 200-500% improved utilization and ROI on their GPUs, which demonstrates the power of this solution to address the biggest bottlenecks in the development of AI." "AI offers incredible potential for enterprises to grow sales and reduce costs, and simplicity is key for businesses seeking to develop their AI capabilities. "As an integrated solution featuring NVIDIA DGX systems and the Run:ai software stack, Run:ai MCP makes it easier for enterprises to add the infrastructure needed to scale their success." Matt Hull, vice president of Global AI Data Center Solutions at NVIDIA Run:ai MCP powered by NVIDIA DGX systems with NVIDIA Base Command is a full-stack AI solution that can be obtained from distributors and simply installed with world-class enterprise support, including direct access to NVIDIA and Run:ai experts. With MCP, compute resources are gathered into a centralized pool that can be managed and provisioned by one team, but delivered to many users with self-service access. A cloud-native operating system helps IT manage everything from fractions of NVIDIA GPUs to large-scale distributed training. Run:ai's workload-aware orchestration ensures that every type of AI workload gets the right amount of compute resources when needed. The solution provides MLOps tools while preserving freedom for developers to use their preferred tools via integrations with Kubeflow, Airflow, MLflow and more. This bundle is the latest in a series of Run:ai's collaborations with NVIDIA, including Run:ai's Atlas Platform certification on the NVIDIA AI Enterprise software suite, which is included with NVIDIA DGX systems. About Run:ai Run:ai's Atlas Platform brings cloud-like simplicity to AI resource management — providing researchers with on-demand access to pooled resources for any AI workload. An innovative cloud-native operating system — which includes a workload-aware scheduler and an abstraction layer — helps IT simplify AI implementation, increase team productivity, and gain full utilization of expensive GPUs. Using Run:ai, companies streamline development, management, and scaling of AI applications across any infrastructure, including on-premises, edge and cloud.

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