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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.
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.
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.
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 datacenterapplications like generative AI and high-performance computing.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. With AI-driven network management and optimization capabilities, enterprises will be able to prioritize traffic and application performance based on user needs and business requirements, according to IDC.
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.
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.
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.
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.
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.
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.
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 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.
To keep up, IT must be able to rapidly design and deliver applicationarchitectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. It’s a tall order, because as technologies, business needs, and applications change, so must the environments where they are deployed.
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. Hypershield uses AI to dynamically refine security policies based on application identity and behavior. VAST Data Storage support.
AWS, Microsoft, and Google are going nuclear to build and operate mega datacenters better equipped to meet the increasingly hefty demands of generative AI. Earlier this year, AWS paid $650 million to purchase Talen Energy’s Cumulus Data Assets, a 960-megawatt nuclear-powered datacenter on site at Talen’s Susquehanna, Penn.,
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.”
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.
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.
The Supermicro JBOF replaces the traditional storage CPU and memory subsystem with the BlueField-3 DPU and runs the storage application on the DPU’s 16 Arm cores. BlueField-3 accelerates networking traffic through hardware support for RoCE (RDMA over converged Ethernet), GPU direct storage and GPU initiated storage.
This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration, IBM stated. The idea is to let customers responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning, IBM stated.
For decades, businesses have relied on MPLS and SD-WAN to connect branch offices and remote workers to critical applications. 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 FortiDLP platform provides automated data movement tracking, cloud application monitoring and endpoint protection mechanisms that work both online and offline. FortiDLP expands Fortinet’s data protection efforts FortiDLP’s architecture includes several key technical components.
Later, as an enterprise architect in consumer-packaged goods, I could no longer realistically contemplate a world where IT could execute mass application portfolio migrations from datacenters to cloud and SaaS-based applications and survive the cost, risk and time-to-market implications.
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
In 2008, SAP developed the SAP HANA architecture in collaboration with the Hasso Plattner Institute and Stanford University with the goal of analyzing large amounts of data in real-time. The entire architecture of S/4HANA is tightly integrated and coordinated from a software perspective.
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.
Migrating to the cloud without fully understanding workload requirements or optimizing database architectures can lead to overprovisioning and resource sprawl, he warns. Optimizing resources based on application needs is essential to avoid setting up oversized resources, he states.
Although organizations have embraced microservices-based applications, IT leaders continue to grapple with the need to unify and gain efficiencies in their infrastructure and operations across both traditional and modern applicationarchitectures.
Nvidia has announced a Zero Trust platform built around its BlueField data-processing units and Nvidia software. You cannot just rely on the firewall on the outside, you have to assume that any application or any user inside your datacenter is a bad actor,” said Manuvir Das, head of enterprise computing at Nvidia.
A new AI-based assistant will aid in RPG application modernization and development. Jointly designed by IBM Research and IBM Infrastructure, Spyre’s architecture is designed for more efficient AI computation. Developing RPG The chief application development system widely used by Power servers and its ecosystem is RPG.
Routed Optical Networking offers an architecture that unifies the wave division multiplexing (WDM), optical transport network (OTN), and packet transport layers into a single layer that’s easier to control – just as Ethernet VPN and segment routing simplify the service and traffic engineering network layers, according to Cisco.
As a networking and security strategy, zero trust stands in stark contrast to traditional, network-centric, perimeter-based architectures built with firewalls and VPNs, which involve excessive permissions and increase cyber risk. The main point is this: you cannot do zero trust with firewall- and VPN-centric architectures.
As large enterprise and hyperscaler networks process increasingly greater AI workloads and other applications that require high-bandwidth performance, the demand for optical connectivity technologies is growing as well. Apollo is believed to be the first large-scale deployment of optical circuit switching (OCS) for datacenter networking.
Prisma also features AIcapabilities as part of Palo Altos autonomous digital experience management (ADEM) system, which provides visibility into endpoints, WAN links, cloud resources, applications, and traffic levels to help troubleshoot performance issues. The latest version of Prisma SASE, version 3.0,
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.
Re-platforming to reduce friction Marsh McLennan had been running several strategic datacenters globally, with some workloads on the cloud that had sprung up organically. The idea, Beswick says, was to enable the creation of an application in days — which set a.
Cisco is embracing the secure-access service edge (SASE) architecture put forth by Gartner with plans to upgrade some of its existing products to reach the goal of delivering access control, security and networking to cloud services. Network pros react to new Cisco certification curriculum.
Secure Access Service Edge (SASE) is a network architecture that combines software-defined wide area networking (SD-WAN ) and security functionality into a unified cloud service that promises simplified WAN deployments, improved efficiency and security, and application-specific bandwidth policies. billion by 2025.
This includes acquisition of new software licenses and/or cloud expenses, hardware purchases (compute, storage), early termination costs related to the existing virtual environment, application testing/quality assurance and test equipment, the report reads.
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