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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.
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.
With all the focus on power consumption, the water consumption of datacenters has been somewhat overlooked. However, red flags are being raised in the United Kingdom, and those concerns that have application in the US as well and elsewhere. Datacenters are already wearing out their welcome in certain areas.
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 enterprise datacenter is here to stay. As we enter 2025, here are the key trends shaping enterprise datacenters.
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.
The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, DataCenter, Internet & Cloud Infrastructure groups. It uses AI to protect AI, Gillis added.
Space supply in major datacenter markets increased by 34% year-over-year to 6,922.6 There is a considerable pricing disparity between newly built datacenters and legacy facilities, reflecting the premium placed on modern, energy-efficient infrastructure. MW capacity being built at the end of 2023.
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 Datacenters warm up to liquid cooling : AI, machine learning, and high-performance computing are creating cooling challenges for datacenter owners and operators.
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. Hypershield uses AI to dynamically refine security policies based on application identity and behavior. The research showed that 74.4%
Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Our datacenter was offline and damaged. The first definition is what CIOs and application developers historically have attuned to.
Hybrid and multicloud initiatives will continue to shape enterprise IT in 2023, and the impact on data-center networking will be felt across key areas including security, management, and operations. and a Network World columnist. “The and a Network World columnist. To read this article in full, please click here
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.
Fortinet has melded some of its previously available services into an integrated cloud package aimed at helping customers secure applications. Managing application security across multiple environments isn’t easy because each cloud platform, tool, and service introduces new layers of complexity.
CDNA 3 is based on the gaming graphics card RDNA architecture but is expressly designed for use in datacenterapplications 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
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.
Datacenters could consume upwards of 9% of US electricity generation by 2030, more than double the amount currently used, although the role AI contributing to the demand, a new study has found. While AI applications are estimated to use only 10%-20% of datacenter electricity today, that percentage is growing rapidly.”
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.
A bid by Google Ireland to build a third datacenter at Grange Castle Business Park in south Dublin has been rejected by local politicians, in part due to what was described as “the lack of significant on-site renewable energy” to power the proposed facility.
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
These efforts are expected to be completed in the second half of 2026 so AI applications will have some near-term solutions to leverage. It wasnt solely an application, network, component, or interconnect problem, stated DAmbrosia, who is a distinguished engineer with the Datacom Standards Research team at Futurewei Technologies, a U.S.
The MonTitan RDK is designed for enterprise datacenter 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 datacenter specifications. million IOPS, a respectable throughput rate. The 128TB SSD RDK also supports NVMe 2.0
Regardless of where they are on their AI journey, organizations need to be preparing existing datacenters and cloud strategies for changing requirements, and have a plan for how to adopt AI, with agility and resilience, as strategies evolve,” said Jeetu Patel, chief product officer at Cisco.
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 ). Nokias SR Linux NOS supports a wide range of network protocols and features as well as third-party applications.
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!
Herweck, who had been in the role for 18 months, was replaced by the head of the company’s energy management business, Olivier Blum, to drive Schneider Electric’s next strategic phase, which includes scaling its energy management and datacenter operations. Analysts, however, showed surprise over this move by the French firm. “The
The goal of the middleware, which was released today to customers globally, is to improve resource allocation and memory management across various platforms and applications that use AI, according to a press release. All of these will be eventually passed on to datacenter operators’ customers and end users,” the researchers noted. “All
The change in the UK government following the general election on July 4 is also leading to a change in the country’s planning policies for datacenter construction. The new Labour government is reconsidering two urban planning decisions that had put the brakes on datacenter investments. a year to reach $10.13
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%
The rapid expansion of AI and generative AI (GenAI) workloads could see 40% of datacenters constrained by power shortages by 2027, according to Gartner. An AI hyperscale datacenter can consume as much as 100 MW of power.
The AI revolution is driving demand for massive computing power and creating a datacenter shortage, with datacenter operators planning to build more facilities. But it’s time for datacenters and other organizations with large compute needs to consider hardware replacement as another option, some experts say.
At the other end of the speed spectrum, the Ethernet Alliance also produced the first Single Pair Ethernet plugfest to advance seamless interoperability for products and services designed for 10BASE-T1L applications. That is a standard based on the IEEE 802.3cg specification that was finalized in 2019.
also supports HPEs Data Fabric architecture which aims supply a unified and consistent data layer that allows data access across premises datacenters, public clouds, and edge environments with the idea of bringing together a single, logical view of data, regardless of where it resides, according to HPE.
AI applications and ML workloads account for nearly 20% of datacenter electricity consumption today, according to the Electric Power Research Institute (EPRI), and datacenters are projected to represent up to 9.1% of total U.S. electricity generation annually by 2030.
By abstracting the underlay data plane from the management and control plane, SD-WAN enables organizations to send traffic directly from various locations to cloud-based resources without having to first route it through a centralized enterprise datacenter.
(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.
It found that, while Nvidia likely holds a dominant position in the global market for discrete GPUs used in datacenters, it has no incentive to limit the compatibility of its GPUs with orchestration software produced by rivals of Run:ai. The Commission began its investigation in mid-November.
BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage. Morpheus is a GPU-accelerated data processing framework optimized for cybersecurity, using deep learning and machine learning models to detect and mitigate cyber threats in real time.
In the age of artificial intelligence (AI), how can enterprises evaluate whether their existing datacenter design can fully employ the modern requirements needed to run AI? Evaluating datacenter design and legacy infrastructure. The art of the datacenter retrofit. Digital Realty alone supports around 2.4
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.
The AI infrastructure challenge for networking at hyper scale The demands of AI are changing the way datacenters and particularly hyperscale datacenters need to operate. The AI wave is right in front of us, and it is causing a massive disruption, including at the infrastructure level, Sadana told Network World.
growth this year, with datacenter spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. Datacenter spending will increase again by 15.5% in 2025, but software spending — four times larger than the datacenter segment — will grow by 14% next year, to $1.24
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