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Enterprise IT leaders are facing a double-whammy of uncertainties complicating their datacenter building decisions: The ever-changing realities of genAI strategies, and the back-and-forth nature of the current tariff wars pushed by the United States. And if you slow down AI, that will slow down the datacenters.
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.
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.
In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional datacenters and moved everything to the cloud. The enterprisedatacenter is here to stay. Synergy Research comes to a similar conclusion.
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 As enterprises get a better sense of AI workload utilization, they may bring the workloads back on premises.
Solidigm, a provider of NAND flash solid-state drives, and memory giant Micron have each introduced very high-capacity SSD drives meant for enterprisedatacenters, particularly in AI use cases. Solidigm intros 122TB PCIe SSD Solidigm unveiled its highest capacity PCIe drive yet, the 122TB Solidigm D5-P5336 datacenter SSD.
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. For enterprises investing heavily in AI infrastructure, this development addresses a growing challenge. Lightmatter, valued at $4.4
According to a report released this week by Bloom Energy, US datacenters will need 55 gigawatts of new power capacity within the next five years. The report , based on a survey of 100 datacenter leaders, also shows that 30% of all sites will be using onsite power by 2030.
Deepak Jain, CEO of a Maryland-based IT services firm, has been indicted for fraud and making false statements after allegedly falsifying a Tier 4 datacenter certification to secure a $10.7 The Tier 4 datacenter certificates are awarded by Uptime Institute and not “Uptime Council.”
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.
A growing number of buyers have reported purchasing supposedly new Seagate datacenter-grade hard drives, only to discover that they had been previously used for thousands of hours. The fraudulent sales first came to light in January when buyers began inspecting their newly purchased Seagate Exos datacenter-grade HDDs.
The construction of massive datacenter campuses is booming, with hyperscalers, colocation providers and large enterprises developing new capacity to support the exploding requirements of AI. These are not normal times There has always been growth in datacenter capacity but never anything like this. TWh to 162.5
Its enterprise-grade. For enterprises navigating this uncertainly, the challenge isnt just finding a replacement for VMware. It would take a midsize enterprise at least two years to untangle much of its dependency upon VMware, and it could take a large enterprise up to four years. IDC analyst Stephen Elliot concurs.
Hewlett Packard Enterprise (HPE) and Supermicro have separately announced new liquid cooling products to keep up with the heat generated by large-scale AI deployments. HPE claims that this approach effectively reduces the required datacenter floor space by 50% and reduces the cooling power necessary per server blade by 37%. “As
He will be replaced by Justin Hotard, who is currently Intels Chief DataCenter Officer and has previously held executive positions at technology companies such as Hewlett Packard Enterprise and NCR Corporation. Nokia has announced that CEO Pekka Lundmark will step down. He took up the position in 2020.
The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented datacenters. Building an AI-oriented datacenter is no easy task, even by datacenter construction standards.
Cisco has unwrapped a new family of datacenter switches it says will help customers more securely support large workloads and facilitate AI development across the enterprise. Enterprises are already planning to deploy many genAI apps this year, according to IDCs AI in Networking Special Report, published at the end of 2024.
Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. With AI and data proliferating everywhere in the enterprise, AI and data are no longer centralized assets that IT directly controls.
The MonTitan RDK is designed for enterprisedatacenter use and Silicon Motion says its sequential read speeds exceed 14 GB/s, ranking among the fastest external SSDs, with random read performance of over 3.3 The kit utilizes the PCIe Dual Ported enterprise-grade SM8366 controller with support for PCIe Gen 5 x4 NVMe 2.0
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.
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. The MI325X uses AMD’s CDNA 3 architecture, which the MI300X also uses. The MI350X will come with 288 GB of HBM3e, like the MI325X.
Kyndryl is extending its relationship with Nokia and expanding its menu of integration services by including more of Nokia’s datacenter networking products. In addition, Nokia is developing quantum-safe technology for both IP and optical networks to ensure secure data transmission between datacenters. “We
Edge datacenters include hardware, software, applications, data management, connectivity, gateways, security, and advanced analytics. They come in all shapes and sizes depending on the use case. So choose carefully!
Edgecore Networks is taking the wraps off its latest datacenter networking hardware, the 400G-optimized DCS511 spine switch. This feature enables long-range, high-speed connections crucial for distributed datacenter architectures. Terabits per second. Read more networking news Ciena and Arelion achieve 1.6
Pressure to implement AI plans is on the rise, but the readiness of enterprise networks to handle AI workloads has actually declined over the past year , according to new research from Cisco. However, between 2023 and 2024, global AI readiness in the enterprise has declined.
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.
IBM has broadened its support of Nvidia technology and added new features that are aimed at helping enterprises increase their AI production and storage capabilities. The IBM AI Integration service already supports a number of third-party systems, including Oracle, Salesforce, SAP and ServiceNow environments.
Spending on cloud services is in turn driving massive investment in equipment , which is good for the IT vendors because the on-premises datacenter market is largely flat. According to Synergy Research Group, enterprise spending on cloud infrastructure services was $79 billion worldwide in the second quarter, up $14.1
This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. To benefit from this wider range of RAG services, organizations need to ensure their data is AI-ready.
Enterprise and campus networks represent a massive market for Ethernet, with over a billion ports shipping annually. Evolving Wi-Fi access points and Enterprise-class client devices are accelerating the transition to higher-speed Ethernet.
The Singapore government is advancing a green datacenter strategy in response to rising demand for computing resources, driven in large part by resource-hungry AI projects. Datacenters can potentially benefit from 2% to 5% energy savings for every 1C increase in operating temperature.
Read our related feature: Enterprises reevaluate virtualization strategies amid Broadcom uncertainty ) However, if youre looking strictly for a replacement on-prem virtualization platform, the analyst firm DataCenter Intelligence Group ( DCIG ) has identified five top alternatives to VMwares vSphere platform.
HPE and Nvidia added to their joint, prepackaged service offerings that are aimed at helping enterprises support AI workloads. In addition, HPE Private Cloud AIincludes support for new Nvidia GPUs and blueprints that deliver proven and functioning AI workloads like data extraction with a single click, Corrado wrote.
Google Cloud describes Cloud WAN as a new fully managed, reliable, and secure enterprise backbone to transform enterprise WAN architectures, according to a blog by Muninder Singh Sambi, vice president and general manager of networking for Google Cloud.
I would say what were seeing on the enterprise side relative to AI is, its still in the very early days, and they all realize they need to figure out exactly what their use cases are, [but] were starting to see some spending though on specific AI-driven infrastructure. Second, AI inference and enterprise clouds.
The business pressures prompting the need for such a service are many, including: M&A/Business Expansion : Enterprises are constantly changing, whether through sudden mergers and acquisition, digital transformation efforts, or growth into new markets. The service also enables enterprises to migrate their SD-WAN fabrics to the cloud.
Another driver is the fact that individual datacenters themselves are upgrading to 400G Ethernet. The previous capacity of the DE-CIX network was 100G, which means that datacenters running at 400G need to split the signal. Companies are spending money on AI datacenter clusters, which need to be connected to each other.
Generative AI is driving significant IT spending growth, according to Gartner’s most recent global forecast, with datacenter infrastructure seeing the biggest spike. growth in datacenter systems, largely due to AI services and GPU-based specialized services for AI workloads. The research firm is forecasting 25.3%
Red Hat Enterprise Linux 9.5 Red Hat Enterprise Linux 9.x Red Hat Enterprise Linux 9.x The latest version of the world’s leading enterprise Linux platform introduces more than 70 enhancements, ranging from advanced networking capabilities to improved container management tools. RHEL) became generally available on Nov.
Juniper Networks continues to fill out its core AI AI-Native Networking Platform, this time with a focus on its Apstra datacenter software. New to the platform is Juniper Apstra Cloud Services, a suite of cloud-based, AI-enabled applications for the datacenter, released along with the new 5.0
Enterprisedatacenters remain crucial despite cloud dominance, as organizations continue to rely on them for security, cost control, and performance optimization in hybrid and multi-cloud environments.
As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.
Early on July 19, just minutes after data security giant CrowdStrike released what was supposed to be a security update, enterprises started losing Windows endpoints, and we ended up with one of the worst and most widespread IT outages of all time. We’ve been told that enterprises are rethinking their cloud strategy.
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