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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.
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 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.
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.
The chief architect for Intels Xeon server processors has defected to chip rival Qualcomm, which is making yet another run at entering the datacenter market. If Intel was hoping for a turnaround in 2025, it will have to wait at least a little bit longer.
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 first major service these DPUs will perform on the switch will be Layer 4 stateful segmentation throughCiscos Hypershield security architecture.
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.
Edgecore Networks is taking the wraps off its latest datacenter networking hardware, the 400G-optimized DCS511 spine switch. Sharma added that hyperscale architecture is typically based on Layer-3 features and BGP. This feature enables long-range, high-speed connections crucial for distributed datacenterarchitectures.
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.
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.
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.
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.
I am happy to announce that my coverage area now includes DataCenter Services, Infrastructure Outsourcing, and Semiconductors. This is in addition to my existing coverage of Technical Debt and Enterprise Architecture.
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.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. IDC survey data shows a strong preference among SD-WAN users or prospective users for single-vendor SASE architectures. AI is set to make its mark on SD-WAN technology.
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.
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.
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.
405B workload compared to the companys H200 NVL8, which is based on the Hopper architecture. In the latest round of benchmarks, the three year old architecture still managed to achieve a 60% performance boost over last year on the Llama 2 70B workload. McGregor described Dynamo as significant: Think of an OS for an entire datacenter.
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.
Todd Pugh, CIO at food products manufacturer SugarCreek , manages a fully virtualized private datacenter. We asked three enterprises to share why they deployed microsegmentation technology in their networks and how it's working. Here are their stories. Distributed firewalls via VMware NSX.
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.
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 7700R4 AI Distributed Etherlink Switch (DES) supports the largest AI clusters, offering massively parallel distributed scheduling and congestion-free traffic spraying based on the Jericho3-AI architecture. The 7060X6 AI Leaf switch features Broadcom Tomahawk 5 silicon with a capacity of 51.2
Debates surrounding the Energy Efficiency Act, which aims to reduce energy use in public authorities, corporations, and datacenters, will potentially influence future laws globally. Here’s the context: Datacenters use a lot of energy. Why is this important and what does it mean?
The base architectural design of Blackwell Ultra is similar to Nvidias Blackwell, but it provides incremental performance improvements with increased memory capacity and AI tweaks in the silicon, said Anshel Sag, vice president and principal analyst at Moor Insights and Strategy. The predecessor system, GB200 NVL72, had 13.5
Nile also announced a new training and qualification program for customers and partners to ensure they receive the knowledge and skills to build secure, high-performance networks based on the Nile architecture.
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.
Purkayastha emphasized the need for new standards and reference architectures to support the integration of GPUs into a wide range of devices, from phones to IoT. “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.
The combination aims to conquer the enormous compute market that has long been dominated by the x86 architecture (and thus, Intel and AMD). The x86 platform remains the leader in PCs and datacenters, but the future growth prospects lie in […].
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.
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.”
That worked when everything lived in the corporate datacenter. Paying a premium to backhaul traffic to a central datacenter made sense when that was where all applications lived. The Cafe-like Branch eliminates these inefficiencies while simplifying the network architecture. Ready to rethink your network?
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Moving applications between datacenter, edge, and cloud environments is no simple task.
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.
In estimating the cost of a large-scale VMware migration , Gartner cautions: VMwares server virtualization platform has become the point of integration for its customers across server, storage and network infrastructure in the datacenter. HCI vendors include Nutanix , Scale, Microsoft Azure Stack and others.
Most enterprise datacenters have gotten by just fine by air cooling their CPUs and servers, but AI is forcing IT to consider new cooling types, including liquid cooling. Today, 22% of datacenters are using liquid cooling, according to IDC numbers. And this is just a little bit of an extension of that.
Secure access service edge (SASE) is a network architecture that rolls software-defined wide area networking (SD-WAN ) and security into a cloud service that promises simplified WAN deployment, improved efficiency and security, and to provide appropriate bandwidth per application. To read this article in full, please click here
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