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Even as demand for data infrastructure surges to an all-time high, Equinix is planning to lay off 3% of its workforce, suggesting a growing skills mismatch in the industry. According to Goldman Sachs , datacenter demand in the US alone is projected to nearly triple by 2030, driving more than $1 trillion in investment.
As datacenters evolve from traditional compute and storage facilities into AI powerhouses, the demand for qualified professionals continues to grow exponentially and salaries are high. The rise of AI, in particular, is dramatically reshaping the technology industry, and datacenters are at the epicenter of the changes.
Datacenters this year will face several challenges as the demand for artificial intelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new datacenter developments continues to grow.
Massive global demand for AI technology is causing datacenters to increase spending on servers, power, and cooling infrastructure. As a result, datacenter CapEx spending will hit $1.1 His projections account for recent advances in AI and datacenter efficiency, he says. Much of this growth is due to AI.
Lightmatter has announced new silicon photonics products that could dramatically speed up AI systems by solving a critical problem: the sluggish connections between AI chips in datacenters. Industry implications The introduction of silicon photonics into AI infrastructure represents a potential shift in how datacenters are designed.
Cisco is boosting network density support for its datacenter switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing. Cisco’s Nexus 9000 datacenter switches are a core component of the vendor’s enterprise AI offerings.
The MI325X uses AMD’s CDNA 3 architecture, which the MI300X also uses. CDNA 3 is based on the gaming graphics card RDNA architecture but is expressly designed for use in datacenter applications like generative AI and high-performance computing.
DellOro herself has had a long career in networking, going back to SynOptics in the 1990s, where she developed a competitive analysis program to evaluate the strategic performance of key companies in the networking industry. She has worked in media, communications, and networking industries.
Rising costs, AI concerns and staffing challenges are among the top issues facing datacenter leaders in 2024, according to Uptime Institute’s latest survey data. Datacenter teams are working to balance higher rack power density and future capacity needs with capital investments and staffing limitations.
The deal, which sees Oracle and Carlyle selling their stakes in Ampere, strengthens SoftBanks position in the growing market for AI-optimized processors as major cloud providers increasingly look beyond traditional x86 architecture.
Considerable amounts of data are collected on the edge. Edge servers do the job of culling the useless data and sending only the necessary data back to datacenters for processing. Liquid cooling gains ground: Liquid cooling is inching its way in from the fringes into the mainstream of datacenter infrastructure.
Nokia is offering customers an alternative way to set up datacenter networks by expanding its datacenter fabric package to support the open-source Software for Open Networking in the Cloud ( SONiC ). The SONiC community has grown significantly since and now features some 4,000 contributors and 28 paying members.
SONiC remains a cornerstone of Aviz’s strategy Shukla highlighted the growing demand for SONiC, particularly in datacenters and GPU fabrics, driven by the need for new infrastructure to support the increasing use of GPUs and inferencing networks. The new funding follows a $10 million round announced in December 2023.
Nvidia has partnered with hardware infrastructure vendor Vertiv to provide liquid cooling designs for future datacenters designed to be AI factories. AI factories are specified datacenters emphasizing AI applications as opposed to traditional line of business applications like databases and ERP.
The industry transition to 400 Gigabit Ethernet networking took a big step forward this week when the worlds leading Internet exchange operator announced plans to upgrade its New York backbone to 400G. Another driver is the fact that individual datacenters themselves are upgrading to 400G Ethernet.
AWS, Microsoft, and Google are going nuclear to build and operate mega datacenters better equipped to meet the increasingly hefty demands of generative AI. Earlier this year, AWS paid $650 million to purchase Talen Energy’s Cumulus Data Assets, a 960-megawatt nuclear-powered datacenter on site at Talen’s Susquehanna, Penn.,
We are on the cusp of one of the most significant changes in the x86 architecture and ecosystem in decades – with a new level of customization, compatibility and scalability required to meet current and future customer demands,” said Intel CEO Pat Gelsinger in a statement.
One of the newer technologies gaining ground in datacenters today is the Data Processing Unit (DPU). As VMware has observed , “In simple terms, a DPU is a programable device with hardware acceleration as well as having an ARM CPU complex capable of processing data.
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. Thats why our architecture embeds security at every layer of the AI stack, Patel wrote in a blog post about the news. VAST Data Storage support.
Later, as an enterprise architect in consumer-packaged goods, I could no longer realistically contemplate a world where IT could execute mass application portfolio migrations from datacenters to cloud and SaaS-based applications and survive the cost, risk and time-to-market implications.
VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” VMware Tanzu RabbitMQ: “Secure, real-time message queuing, routing, and streaming for distributed systems, supporting microservices and event-driven architectures.” Not at all.”
Its an honor to be selected to the first phase of QBI along with other leaders in the industry, says Xanadu founder and CEO Christian Weedbrook. This means industry needs to begin thinking seriously about how they will integrate quantum computing into their operations over the medium term.
In 2008, SAP developed the SAP HANA architecture in collaboration with the Hasso Plattner Institute and Stanford University with the goal of analyzing large amounts of data in real-time. The entire architecture of S/4HANA is tightly integrated and coordinated from a software perspective. This allows for maximum flexibility.
If last years Huawei Industrial Digital and Intelligent Transformation Summit was about exploring the opportunities and challenges of industrial intelligent transformation, the 2025 edition was about how rapid AI development has changed the landscape. For example, data silos are a key challenge we need to address.
The research, released this week, analyzes the networking challenges, IT and business priorities, architectural maturity, and investment strategies of 2,052 IT professionals across 10 global industries. Network architectures are more sophisticated, more complex, and spread across more multi-clouds and multi-vendors than ever.
There, it will showcase a variety of innovative products and solutions at the exhibition under the theme “Accelerate Industrial Digitalization and Intelligence”. From October 14 to 18, Huawei will participate in the GITEX Global 2024, one of the world’s largest technology exhibitions, as a Diamond Sponsor.
Broadcoms $61 billion acquisition of VMware caused quite a stir in the technology industry and continues to prompt VMware customers to consider alternatives. The research firm speculates that internal expertise in architecture, security, vendor management, and more would need to be involved to successfully migrate off the popular platform.
Apollo is believed to be the first large-scale deployment of optical circuit switching (OCS) for datacenter networking. Apollo has served as the backbone of all Google datacenter networks, having been in production for nearly a decade, supporting all datacenter use cases. billion deal in 2021.)
When it happened late last month, the two vendors and many industry watchers were caught off guard. Industry analysts question DOJs WLAN argument Many industry watchers might have thought the higher end of the networking spectrumsay, large enterprise switches, routers, and other gearwould be a potential competitive issue for the DOJ.
We have invested in the areas of security and private 5G with two recent acquisitions that expand our edge-to-cloud portfolio to meet the needs of organizations as they increasingly migrate from traditional centralized datacenters to distributed “centers of data.”
Pure Storage Certified Data Storage Associate The Pure Storage Certified Data Storage Associate highlights a candidates knowledge of a complete multi-vendor enterprise storage solution. The exam primarily covers core storage networking concepts such as storage protocols, data protection techniques, and basic storage system management.
For all its advances, enterprise architecture remains a new world filled with tasks and responsibilities no one has completely figured out. The sales team may promise that the tools are designed to interoperate and speak industry standard protocols, but that gets you only halfway there. No one knows anything. There’s no simple answer.
At the same time, leaders say the industry will need colleagues who can strategize, guide, and check AI-enhanced work, while keeping in mind the business goals of their organization. AI is impacting everything from writing requirements, acceptance definition, design and architecture, development, releasing, and securing,” Malagodi says.
AI networking is specific to the network itself, covering domains including multi-cloud software, wired and wireless LAN, datacenter switching, SD-WAN and managed network services (MNS). AI can assess network health through performance trends and compare those with industry peers.
Netskope added regions including datacenters in Calgary, Helsinki, Lisbon, and Prague as well as expanded existing NewEdge regions including datacenters in Bogota, Jeddah, Osaka, and New York City. Its not enough to have all the right security tools or network services or even that theyve converged.
Meta Platforms, formerly known as Facebook, supports many large datacenters and handles massive amounts of data traffic over high-bandwidth network connections worldwide. The Arista 7800R3 is a datacenter switch that supports up to 48 100GbE ports. “The
By making the right hosting architecture choices up front, companies can ensure that their site will always be available with no interruptions to the end user experience, writes Jeffrey Papen of Peak Hosting. To eliminate downtime, here are six architecture choices that should be considered. Industry Perspectives'
didn’t intend to make a system for precisely controlling the temperature of datacenter microprocessors when they started dreaming up ideas five years ago. GemaTEG’s thermal management system aims to improve the way datacenters regulate energy-hungry microprocessors. a startup based in Bellevue, Wash.,
The first step for UALink is to define and establish an open industry standard that will enable AI accelerators to communicate more effectively, the group says. AI and high-performance computing ( HPC ) require a considerable amount of data to be moved around between cores and memory. The UALink Promoter Group expects the 1.0
Re-platforming to reduce friction Marsh McLennan had been running several strategic datacenters globally, with some workloads on the cloud that had sprung up organically. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
With a cloud-powered digital core in place, organizations can unlock advanced intelligence, industry-specific cloud innovations, enterprise efficiency and agility, and integrate new technologies, such as AI-enabled decision-making, he says. He advises beginning the new year by revisiting the organizations entire architecture and standards.
Mike Lee, president and GM at AND Digital, says, In the travel and loyalty industry, generative AI is revolutionizing how customers interact with reward programs. A third area of shifting debate concerns infrastructure between datacenters, public clouds, hybrid clouds, multicloud, and edge computing.
And its definitely not enough to protect enterprise, government or industrial businesses, wrote Anand Oswal, senior vice president and general manager at Palo Alto Networks, in a blog about the news. To truly safeguard enterprise, government and industrial operations, organizations need a holistic 5G security package.
“Over 100,000 customers across industries – including adidas, New York Stock Exchange, Pfizer, Ryanair, and Toyota – are using AWS AI and ML services to reinvent experiences for their customers,” Kalyanaraman wrote. Additionally, many of the leading generative AI models are trained and run on AWS.”
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