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At its re:Invent 2024 conference this week, AWS rolled out five new storage tools and services with the goal of making its offerings easier to work with, if not cheaper or better. With the incremental differences in the major enterprise cloud environments today, that may be enough. Is it vendor lock-in or a trusted partnership?
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.
Its enterprise-grade. For enterprises navigating this uncertainly, the challenge isnt just finding a replacement for VMware. It would take a midsize enterprise at least two years to untangle much of its dependency upon VMware, and it could take a large enterprise up to four years. IDC analyst Stephen Elliot concurs.
IBM has broadened its support of Nvidia technology and added new features that are aimed at helping enterprises increase their AI production and storage capabilities. Content-aware IBM Storage Scale On the storage front, IBM said it would add Nvidia awareness to its recently introduced content-aware storage (CAS) technology.
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. As we enter 2025, here are the key trends shaping enterprise data centers.
The software and services an organization chooses to fuel the enterprise can make or break its overall success. Here are the 10 enterprise technology skills that are the most in-demand right now and how stiff the competition may be based on the number of available candidates with resume skills listings to match.
To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. To learn more about how enterprises can prepare their environments for AI , click here.
1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.
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. The one thing that the reference architecture does not cover is storage, since Nvidia does not supply storage.
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.
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.
Solidigm, a provider of NAND flash solid-state drives, and memory giant Micron have each introduced very high-capacity SSD drives meant for enterprise data centers, particularly in AI use cases. Solidigm is a pioneer of QLC (quad-level cell), which means four bits per cell, the highest density of SSD storage available.
The MonTitan RDK is designed for enterprise data center use and Silicon Motion says its sequential read speeds exceed 14 GB/s, ranking among the fastest external SSDs, with random read performance of over 3.3 The kit utilizes the PCIe Dual Ported enterprise-grade SM8366 controller with support for PCIe Gen 5 x4 NVMe 2.0
Most enterprises deploying AI technology have been turning to hyperscalers such as Amazon, Google and Microsoft to provide all the necessary infrastructure. Thats because enterprises have been lagging behind on adopting on-premises infrastructure, the research firm says. Its a brand-new skill set.
Enterprise data storage skills are in demand, and that means storage certifications can be more valuable to organizations looking for people with those qualifications. No longer are storage skills a niche specialty, Smith says. Both vendor-specific and general storage certifications are valuable, Smith says.
PEAK:AIO, maker of a dedicated AI storage infrastructure server software, has released a new version of its AI Data Server, with emphasis on performance, density, and sustainability. PEAK:AIO is a software defined storage platform designed running on Dell Technologies PowerEdge R7525 2U server with up to 24x NVMe drives.
Supermicro, which designs and manufactures high-performance servers, storage systems, and other IT infrastructure, has had a turbulent few months, even as the year has shown great promise amidst frenzied demand for AI-ready infrastructure.
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.
Pure Storage is adding features to its storage-as-a-service (STaaS) platform, including Real-time Enterprise File, Universal Credits, and a virtual machine assessment to help admins optimize their VMs. File is kind of a legacy product,” he said. That embedded team will just take its needs to the cloud.
Its especially attractive as an alternative to MPLS, promising to do for wide-area backbones what the cloud did for compute, storage, and application development. Out with the old, in with the new Historically, enterprises relied on a MPLS for much of their wide-area connectivity requirements.
Chipmaker Nvidia has released a new open-source inferencing software Dynamo, at its GTC 2025 conference, that will allow enterprises to increase throughput and reduce cost while using large language models on Nvidia GPUs. Globally, the AI inference market is expected to grow from $106.15 billion in 2025 to $254.98
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility. Cloud storage.
As enterprises begin to deploy and use AI, many realize they’ll need access to massive computing power and fast networking capabilities, but storage needs may be overlooked. In that case, Duos needs super-fast storage that works alongside its AI computing units. Last year, Duos scanned 8.5
HPE and Nvidia added to their joint, prepackaged service offerings that are aimed at helping enterprises support AI workloads. The new release of Data Fabric Software Fabric is the data backbone of the HPE Private Cloud AI data Lakehouse and provides an iceberg interface for PC-AI users to data hosed throughout their enterprise.
We provide enterprises with one platform they can rely on to holistically address their IT needs today and in the future and augment it with an extensive portfolio of managed services – all available through a single pane of glass. They also know that the attack surface is increasing and that they need help protecting core systems.
“When I joined VMware, we only had a hypervisor – referring to a single software [instance] that can be used to run multiple virtual machines on a physical one – we didn’t have storage or networking.” That’s where we came up with this vision: people would build private clouds with fully software-defined networks, storage and computing.
It’s a service that delivers LAN equipment to enterprises and excludes the WAN and any cloud/storage services, Siân Morgan, research director at Dell’Oro Group, told Network World. Enabler CNaaS is a service designed by a vendor to support MSPs that want to deliver CNaaS to enterprises. Meter is also growing rapidly.
This software is installed on-premises and is responsible for copying data from servers, databases, and other devices to a storage system to safeguard it against loss or corruption. It uses servers, storage, networking, and other infrastructure components hosted and managed by the BaaS provider.
The Chinese government is supporting and subsidizing local manufacturers to produce ARM-based chips, explained Lidice Fernandez, group VP for IDCs worldwide enterprise infrastructure trackers. Will it lead to shortages?
New data from research firm Gartner might give IT leaders pause, however, as analysts detail the long, costly, and risky road ahead for enterprise organizations considering a large-scale VMware migration. Enterprise customers have questions about VMwares future direction , licensing changes, and product roadmap following Broadcoms takeover.
As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificial intelligence (AI) and evolving cloud strategies are reshaping how they operate. This year, we will automate all our tanks across our mills for real-time product information with accurate storage and forecasting information.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.
Pure Storage is upping its AI game with a pair of announcements, including a new storage-as-a-service offering that’s designed for AI workloads and new AI-driven security features to detect and prevent ransomware. The company bills its new Evergreen//One product as the first purpose-built AI storage as-a-service offering.
The Best of Enterprise Networking (BENNY) Awards recognize the most innovative products in enterprise networking and the enterprise data center, including the latest wired and wireless networking technologies, network security products, management tools, storage, servers, and virtualization technologies.
According to ITICs 2024 Hourly Cost of Downtime Survey , 90% of mid-size and large enterprises face costs exceeding $300,000 for each hour of system downtime. Start by backing up virtual machines, physical servers, and enterprise systems of record that store your most sensitive information.
In a 2023 survey by Enterprise Strategy Group , IT professionals identified their top application deployment issues: 81% face challenges with data and application mobility across on-premises data centers, public clouds, and edge. Adopting the same software-defined storage across multiple locations creates a universal storage layer.
Backup lessons from a cloud-storage disaster. Such threats are exacerbated by the fact that over 3,500 vendors offer security products and services that many customers patchwork together, creating complexity that makes it hard for many to build an effective security position, Robbins said. To read this article in full, please click here
Unlike traditional cryptocurrency mining that relies on GPUs, Chia mining is storage-intensive, leading to a surge in HDD demand during its peak. System integrators who resell HDDs may not always provide adequate warranties, leaving enterprise customers at risk.
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. Nvidia AI Enterprise software platform, which featurespretrained models and development tools for production-ready AI. VAST Data Storage support.
VeloRAIN (Robust AI Networking), launched Tuesday at the VMware Explore conference in Barcelona, Spain, will “deliver unprecedented visibility, prioritization, and automation for enterprise networks allowing organizations to operate more efficiently and deliver superior user experiences,” the company said in a statement.
BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage. Its important to understand that BlueField and Morpheus are complementing enterprise security companies, not competing with them, said the company spokesman.
By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI By 2028, 25% of enterprise breaches will be traced back to AI agent abuse, from both external and malicious internal actors.
While the SAP S/4HANA Cloud premium plus package advertises AI innovations, they aren’t a precise match for all enterprises, much less reflective of AI needs outside of the core SAP digital backbone. You want AI to act on behalf of the enterprise, not just capabilities in a single ERP system,” Hays says.
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