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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.
But with a wide variety of software, tools, and services to choose from, how do you know which is right for you? While traditional backup software is well-proven, Backup as a Service (BaaS) solutions are rapidly becoming the cross-industry standard. What is Backup Software? What is Backup as a Service (BaaS)?
A reference architecture provides the full-stack hardware and software recommendations. The one thing that the reference architecture does not cover is storage, since Nvidia does not supply storage. However, there is another advantage, and that has to do with scale.
HiveIO Hive Fabric HiveIO is a Linux Kernel-based VM (KVM) that features an intelligent message bus, pool orchestration, user profile management, and shared storage. Customers can choose either of two approaches: Azure Stack HCI hardware-as-a-service, in which the hardware and software are pre-installed.
Hewlett Packard Enterprise has announced a pair of changes to its GreenLake Alletra MP block storage services, with a new program for on-premises users as well as support for Amazon Web Services. Now, HPE has added the Timeless Program for GreenLake Alletra MP block storage users with non-disruptive controller upgrades.
Broadcoms decisions to replace perpetual VMware software licenses with subscriptions and to eliminate point products in favor of an expensive bundle of private cloud tools are driving longtime VMware customers to look for an exit strategy. For customers looking elsewhere, theres no shortage of alternatives.
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.
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.
These applications require AI-optimized servers, storage, and networking and all the components need to be configured so that they work well together. For example, Cisco unveiled its AI Pods in October, which leverage Nvidia GPUs in servers purpose-built for large-scale AI training, as well as the networking and storage required.
Five of their top observations included: Nvidia evolution Nvidia is an end-to-end computer company, with communications, storage controller, compute and if needed, display capabilities. The company also announced GPUs would now power the latest storage systems.
The software and services an organization chooses to fuel the enterprise can make or break its overall success. Indeeds 2024 Insights report analyzed the technology platforms most frequently listed in job ads on its site to uncover which tools, software, and programming languages are the most in-demand for job openings today.
Today, IBM announced its new IBM Spectrum Fusion product, first as a scale-out hardware product, but with a roadmap for a software defined storage (SDS) solution. This new product is billed as a storage solution, but it is much more. Many […].
Vendors have begun to build AI into software as well, he says, and in many cases, charge customers for the additional functionality. That doesnt necessarily mean that most enterprises are expanding the amount of cloud storage they need, he says. Cloud services, software licenses, hardware everythings creeping up, he says.
in 2025, but software spending — four times larger than the data center segment — will grow by 14% next year, to $1.24 The software spending increases will be driven by several factors, including price increases, expanding license bases, and some AI investments , says John Lovelock, distinguished vice president analyst at Gartner.
Latest version of open source OpenStack-targeted software-defined storage adds CephFS, ISCSI and storage that can be deployed in containers to save hardware
in robotics is looking to shake up the AI chip industry with an innovative approach that promises to deliver hardware that is 100 times faster, 10 times cheaper, and 20 times more energy efficient than the Nvidia GPUs that dominate the market today. founded AI hardware company who are pursuing a path thats radical enough to offer such a leap.
Juniper Networks is advancing the software for its AI-Native Networking Platform to help enterprise customers better manage and support AI in their data centers. It’s hardware agnostic, so it can be integrated to work with Juniper’s networking products as well as boxes from Cisco, Arista, Dell, Microsoft and Nvidia. headquarters.
VergeIO is looking to shake up the virtual infrastructure market with its approach to virtualization and software-defined networking. Rather than cobbling together separate components like a hypervisor, storage and networking, VergeOS integrates all of these functions into a single codebase.
Not only individual hardware elements like the latest GPUs, networking technology advancements like silicon photonics and even efforts in storage, but also why they laid out their roadmap so far in advance. The company also announced GPUs would now power the latest storage systems.
Theres still enough spending by enterprises on servers, licensed software, and the skill sets they need to maintain and operate the environment that currently exists. In terms of raw server and storage capacity, enterprise data centers will not be shrinking at all. The enterprise data center is here to stay.
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. Add to all this personnel costs, and the expense might not be worth it.
When organizations buy a shiny new piece of software, attention is typically focused on the benefits: streamlined business processes, improved productivity, automation, better security, faster time-to-market, digital transformation. A full-blown TCO analysis can be complicated and time consuming.
Businesses can pick their compute, storage and networking resources as needed, IBM stated. software with the Intel Gaudi 3-based virtual server on IBM Cloud VPC in Q2 2025. Intel Gaudi 3 can be deployed through IBM Cloud Virtual Servers for virtual private cloud (VPC) instances. IBM watsonx.ai
VMwares virtualization suite before the Broadcom acquisition included not only the vSphere cloud-based server virtualization platform, but also administration tools and several other options, including software-defined storage, disaster recovery, and network security. Broadcoms infrastructure software revenue grew 41% to $5.8
All-flash additions plus hardware and software upgrades see platform refreshes across all Dell EMC storage offerings, as well as design changes in Isilon and Xtremio
Dell’s end-to-end AI portfolio, spanning client devices, servers, storage, data protection and networking, forms the foundation of the Dell AI Factory. Dell is expanding that portfolio with new offerings including Copilot+ PCs, PowerScale F910 all-flash file storage, an AI data protection solution, and the Dell PowerSwitch Z9864F-ON.
All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. Hardware innovations become imperative to sustain this revolution. So what does it take on the hardware side? For us, the AI hardware needs are in the continuum of what we do every day.
Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Opinionated programmers, demanding stakeholders, miserly accountants, and meeting-happy managers mix in a political layer that makes a miracle of any software development work happening at all.
Open RAN (O-RAN) O-RAN is a wireless-industry initiative for designing and building 5G radio access networks using software-defined technology and general-purpose, vendor-neutral hardware. Enterprises can choose an appliance from a single vendor or install hardware-agnostic hyperconvergence software on white-box servers.
Singapore’s Green Data Centre Roadmap , announced on Thursday, seeks to make the hardware and even the software running in datacenters more energy efficient, in addition to tackling the usual suspects: the energy consumed by non-IT components such as cooling, lighting, and power distribution within data centers.
To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).
It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.
However, this undertaking requires unprecedented hardware and software capabilities, and while systems are under construction, the enterprise has a long way to go to understand the demands—and even longer before it can deploy them. The hardware requirements include massive amounts of compute, control, and storage.
MMA is a feature of Power10-based servers that handles matrix multiplication operations in hardware, rather than relying solely on software routines. Power future lies in chiplets The last component of IBM’s Power roadmap involved hardware directions after the Power11 server.
She joined Zuora, a startup that provides billing and subscription management software, scaling it from $30M to $300M in revenue and taking it public in 2018. When joining F5 , she reflected on her career and said, F5s evolution from hardware to software and SaaS mirrors my own professional journey and passion for transformation. >
Inevitably, such a project will require the CIO to join the selling team for the project, because IT will be the ones performing the systems integration and technical work, and it’s IT that’s typically tasked with vetting and pricing out any new hardware, software, or cloud services that come through the door.
During its GPU Technology Conference in mid-March, Nvidia previewed Blackwell, a powerful new GPU designed to run real-time generative AI on trillion-parameter large language models (LLMs), and Nvidia Inference Microservices (NIM), a software package to optimize inference for dozens of popular AI models. The answer is, not yet.”
Core challenges for sovereign AI Resource constraints Developing and maintaining sovereign AI systems requires significant investments in infrastructure, including hardware (e.g., Many countries face challenges in acquiring or developing the necessary resources, particularly hardware and energy to support AI capabilities.
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. But its not all smooth sailing. The certification covers essential skills needed for data center technicians, server administrators, and support engineers.
This piece looks at the control and storage technologies and requirements that are not only necessary for enterprise AI deployment but also essential to achieve the state of artificial consciousness. This architecture integrates a strategic assembly of server types across 10 racks to ensure peak performance and scalability.
Explosive growth in cloud applications has depressed software license sales, and cloud platforms have upended the traditional on-premises server and storage market. In response, traditional software and hardware vendors are moving to the cloud via both acquisitions and launches of new cloud services. Read more.
Like a cell phone or laptop, the hardware wears out or becomes obsolete.” Executing AI-empowered computing campaigns and workflows will place new demands on the system architecture, possibly requiring more interconnect bandwidth and an optimized storage layer that can handle very high rates of I/O operations (IOPS) focused on random reads.”
That package combines Cisco’s SaaS-managed compute and networking gear with Nutanix’s Cloud Platform, which includes Nutanix Cloud Infrastructure, Nutanix Cloud Manager, Nutanix Unified Storage, and Nutanix Desktop Services. It’s becoming a very complex ecosystem to navigate and manage all those all those variables.”
Through embedded hardware security features, software policy configurability and physical modularity, Boeing Black gives customers a trusted, more flexible and productive solution. Disk Encryption : Encrypted storage for sensitive data. Hardware Root of Trust : Ensures software authenticity.
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