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Data centers 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 data center developments continues to grow.
As data centers 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 data centers are at the epicenter of the changes.
Microsoft has introduced a new design for data centers to optimize artificial intelligence (AI) workloads, implementing a cooling system that it claims will consume zero water. Traditionally in Microsoft data centers, water has been evaporated on-site to reduce the power demand of the cooling systems. Many also use air cooling systems.
Enterprise IT leaders are facing a double-whammy of uncertainties complicating their data center 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 data centers.
A growing number of buyers have reported purchasing supposedly new Seagate data center-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 data center-grade HDDs.
While many organizations have already run a small number of successful proofs of concept to demonstrate the value of gen AI , scaling up those PoCs and applying the new technology to other parts of the business will never work until producing AI-ready data becomes standard practice. This tends to put the brakes on their AI aspirations.
There are numerous overall trends, experts say, including: AI everything: AI mania is everywhere and without high power hardware to run it, its just vapor. All the major players Nvidia, Supermicro, Google, Asus, Dell, Intel, HPE as well as smaller vendors are offering purpose-built AI hardware, according to a recent Network World article.
Cisco is boosting network density support for its data center 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 data center switches are a core component of the vendor’s enterprise AI offerings.
Will data center GPUs have their lifespans reduced by constantly running at high utilization rates? The only reason I can think of as to why a [data center add-in board] should fail is the contributed heat from the adjoining AIBs. That is an issue raised by an anonymous poster on X, but at this point it’s just a theory.
There’s a new type of switch that could soon be showing up in AI-optimized data centers, a PCIe 6 fabric switch. fabric switch GPUs and AI acceleration technologies typically connect to a hardware motherboard via a PCIe (PCI Express) slot connection. The biggest use case is NIC-to-GPU data ingest,” Danesh said. Scorpio PCIe 6.0
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 data centers. Building an AI-oriented data center is no easy task, even by data center construction standards. After all, who has built AI factories before?
As data volumes increase exponentially, the threat of data loss from cyberattacks, human error, or system failure has never been greater — which is why, in 2025, fortifying a data protection strategy has never made more sense. Backups continue to serve as the backbone of any data protection solution.
In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional data centers and moved everything to the cloud. The enterprise data center is here to stay. Six years ago, nearly 60% of data center capacity was on-premises; thats down to 37% in 2024.
On the demand side for data centers, large hyperscale cloud providers and other corporations are building increasingly bigger large language models (LLMs) that must be trained on massive compute clusters. Still, several questions remain about DeepSeeks training, infrastructure, and ability to scale, Schneider stated.
In terms of security, the APs feature advanced threat detection capabilities, and they can secure every connection with AI-native device profiling, threat prevention, and advanced wireless security and data encryption, Huang stated. These licenses include product support for both hardware and software.
Fortinet is unveiling a hardware-as-a-service offering that promises to ease the stress of keeping up with the latest firewall technology. The new FortiGate-as-a-Service (FGaaS) offering lets customers choose the hardware they want the FortiGate next-generation firewalls to run on, and Fortinet will configure and manage the devices.
(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 Data Center Intelligence Group ( DCIG ) has identified five top alternatives to VMwares vSphere platform.
Supermicro announced the launch of a new storage system optimized for AI workloads using multiple Nvidia BlueField-3 data processing units (DPU) combined with an all-flash array. These units support 400Gb Ethernet or InfiniBand networking and provide hardware acceleration for demanding storage and networking workloads.
The transceiver modulates light waves that transmit data, making it much more efficient than copper. In large-scale AI data centers with thousands of switches, this equates to hundreds of thousands or even millions of transceivers. AI has transformed the way data centers are being designed.
Immersion cooling in the data center space gets a lot of positive attention for the formulations that enhance thermal performance, material compatibility, and durability. It reduces hotspots and thermal cycling (temperature fluctuations), which could cause wear on hardware components over time.
But our market investigation confirmed to us that other software options compatible with Nvidias hardware will remain available in the market. Nvidia will face no objections to its plan to acquire Israeli AI orchestration software vendor Run:ai Labs in Europe, after the European Commission gave the deal its approval Friday.
We believe this will accelerate our timeline to a practical quantum computer by up to five years, says Oskar Painter, AWS director of Quantum Hardware, in a blog post released today. It will likely be beside other quantum hardware offerings, much like in EC2 where AWSs Graviton chips are offered alongside NVIDIA and other instances, he said.
Cisco has unwrapped a new family of data center switches it says will help customers more securely support large workloads and facilitate AI development across the enterprise. The N9300 Smart Switch series is built on the vendors powerful 4.8T
Dell Technologies introduced new hardware products and services at two separate conferences, the Supercomputing 24 show in Atlanta and Microsoft’s Ignite conference. The two companies are working on integrating Nvidia software with Dell hardware infrastructure.
The ALE Private 5G service includes technology from across ALEs platforms, including ruggedized OmniSwitch hardware, OmniSwitch LAN, and OmniAccess Stellar WLAN software for local and wide area connectivity. Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks.
Nvidia has partnered with leading cybersecurity firms to provide real-time security protection using its accelerator and networking hardware in combination with its AI software. BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage.
If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. Many Kyndryl customers seem to be thinking about how to merge the mission-critical data on their mainframes with AI tools, she says. I believe you’re going to see both.”
Attackers are using encrypted channels to bypass traditional defenses, concealing malware, phishing campaigns, cryptomining/cryptojacking, and data theft within encrypted traffic. Maintain high performance: Zscalers architecture eliminates bottlenecks typically associated with hardware appliances. The report offers examples of each.
In its recent earnings call, AMD CEO Lisa Su underscored that the data center and AI business is now pivotal to the company’s future, expecting a 98% growth in this segment for 2024. However, on a deeper look, the Q3 results showed both strengths and challenges: while total revenue rose by 18% to $6.8
Computex 2024 is taking place in Taiwan this week, which means lots of hardware news as the OEM and parts suppliers of the world gather to show off their latest wares. CDNA 3 is based on the gaming graphics card RDNA architecture but is expressly designed for use in data center applications like generative AI and high-performance computing.
“We look at every business individually and guide them through the entire process from planning to predicting costs – something made far easier by our straightforward pricing model – to the migration of systems and data, the modernization and optimization of new cloud investments, and their protection and ideal management long-term,” he says. “We
Edge data centers 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 data center networking hardware, the 400G-optimized DCS511 spine switch. This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificial intelligence. Terabits per second.
The AI Renewals Agent gathers data from more than 50 different sources of structured and unstructured data and then offers real-time sentiment analysis, intelligent automation, and personalized recommendations tied to customer outcomes and key performance indicators (KPIs).
The AI revolution is driving demand for massive computing power and creating a data center shortage, with data center operators planning to build more facilities. But it’s time for data centers and other organizations with large compute needs to consider hardware replacement as another option, some experts say.
The Singapore government is advancing a green data center strategy in response to rising demand for computing resources, driven in large part by resource-hungry AI projects. Data centers can potentially benefit from 2% to 5% energy savings for every 1C increase in operating temperature. The city state aims to increase its existing 1.4
Nokia is offering customers an alternative way to set up data center networks by expanding its data center 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.
Cisco Hypershield, a cloud hyperscaler security system announced in April as an extension to the Cisco Security Cloud, now supports AMD’s Pensando Data Processing Units (DPUs), a hardware platform designed to accelerate AI workloads. This is why Cisco is now focused on innovating across every layer of the hardware and software stack.
This week, network hardware and testing vendor Keysight Technologies announced an expansion of its Vision series network packet brokers with the debut of new AI Insight Broker features. To be clear, the expansion is not new hardware, but rather a new capability for thesoftware stack that runs on the companys Vision packet brokers.
From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI. Data privacy in the age of AI is yet another cybersecurity concern. This puts businesses at greater risk for data breaches.
The AI infrastructure challenge for networking at hyper scale The demands of AI are changing the way data centers and particularly hyperscale data centers need to operate. Sadana noted that existing networking vendors arent building the super customized hardware that hyperscalers need either.
Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3. As such, Oracle skills are perennially in-demand skill.
According to IDC data released this month, cloud and shared environments account for most AI server spending 72% in the first half of 2024. Companies can keep their data local, for example, or reduce lag by putting their computing capacity close to where it is needed. The data is their lifeblood. Then theres the cost issue.
IDC data shows single-digit percentages as well: In the third quarter of 2024 (the most recent quarter IDC has data for), Wi-Fi 7 made up only about 5% of the enterprise class dependent access point (AP) revenue, according to Brandon Butler, senior research manager for enterprise networks at IDC.
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