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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.
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.
Microsoft has introduced a new design for datacenters to optimize artificial intelligence (AI) workloads, implementing a cooling system that it claims will consume zero water. Traditionally in Microsoft datacenters, water has been evaporated on-site to reduce the power demand of the cooling systems.
On the demand side for datacenters, 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.
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.
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.
Will datacenter GPUs have their lifespans reduced by constantly running at high utilization rates? The only reason I can think of as to why a [datacenter 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.
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 transceiver modulates light waves that transmit data, making it much more efficient than copper. In large-scale AI datacenters with thousands of switches, this equates to hundreds of thousands or even millions of transceivers. AI has transformed the way datacenters are being designed.
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. The N9300 Smart Switch series is built on the vendors powerful 4.8T
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.
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.
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 datacenter applications like generative AI and high-performance computing.
There’s a new type of switch that could soon be showing up in AI-optimized datacenters, 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.
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.
Edgecore Networks is taking the wraps off its latest datacenter 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.
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.
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!
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.
In its recent earnings call, AMD CEO Lisa Su underscored that the datacenter 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
Immersion cooling in the datacenter 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.
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%
Today’s datacenters have a multitude of well-known issues: They gobble up massive amounts of energy and space, are costly, and struggle to meet the intense resource demands of next-gen artificial intelligence (AI). But Nvidia and Y Combinator-backed Lumen Orbit has a novel, out-of-this-world idea: Launching datacenters into space.
(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.
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.
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.
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
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. However, this is often not true.
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.
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.
Chinese GPU startup Moore Threads has announced an upgrade to its KUAE AI datacenter solution, boosting the number of GPUs connectable in a single computing cluster to 10,000.
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.
Artificial intelligence (AI) has upped the ante across all tech arenas, including one of the most traditional ones: datacenters. Modern datacenters are running hotter than ever – not just to manage ever-increasing processing demands, but also rising temperatures as the result of AI workloads, which sees no end in sight.
The landscape of datacenter infrastructure is shifting dramatically, influenced by recent licensing changes from Broadcom that are driving up costs and prompting enterprises to reevaluate their virtualization strategies. Clients are seeing increased costs with on-premises virtualization with Broadcom’s acquisition of VMware.
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.
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.
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. Sadana noted that existing networking vendors arent building the super customized hardware that hyperscalers need either.
The software requires direct hardware access due to its low-level integration with physical resources. A 2024 report from DataCenter Intelligence Group (DCIG) identified VergeOS as one of the top 5 alternatives to VMware. He noted that the moment a virtual datacenter is created, its automatically segmented from others.
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.
The European Union will take a big step toward regulating energy and water use by datacenters in September, when organizations operating datacenters in EU nations will be required to file reports detailing water and energy consumption, as well as steps they are taking to reduce it. between 2020 and 2030.
AI isn’t just another form of data traffic; it’s also a technology that can improve the operation of networks as well, which is another key theme that was explored at the event. “We Parantap Lahiri, vice president of network and datacenter engineering at eBay said that his organization is using AI today for a networking monitoring system.
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.
“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
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