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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.
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. Looking at this holistically, AWS is delivering updates across the data management/storage stack, from ingest to making data useful and usable to management.”
Nvidia is touting a near 50% improvement in storage read bandwidth thanks to intelligence in its Spectrum-X Ethernet networking equipment, according to the vendors technical blog post. Storage is an overlooked element of AI that has been overshadowed by all the emphasis on processors, namely GPUs.
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.
The issue allows attackers to perform name-squatting on AWS S3 (simple storage service) staging buckets, a temporary storage location within an organization’s cloud application deployment infrastructure to hold data for later processing.
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.
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.
The one thing that the reference architecture does not cover is storage, since Nvidia does not supply storage. Instead, storage hardware and software is left to Nvidia’s certified server partners, such as Dell Technologies, Pure Storage, and NetApp.
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. We’re calling this a global storage pool, and this is the ability to not have to fix your allocations or reserve things in advance.”
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. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration, IBM stated.
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. Enterprises running high-performance databases often require external storage arrays, and Nutanix has addressed that need by certifying storage with SAP HANA and Oracle RAC.
The flaws Overall, the study said, 74% of organizations had publicly exposed storage, some of which included sensitive data. And, it said, “as organizations ramp up their use of cloud-native applications so, too, does the amount of sensitive data they store there increase — including customer and employee information and business IP.
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 data center. HCI vendors include Nutanix , Scale, Microsoft Azure Stack and others.
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. What is Backup as a Service (BaaS)?
Silicon Motions MonTitan SSD RDK offers a comprehensive solution for our customers, enabling them to rapidly develop and deploy enterprise-class SSDs tailored for AI data center and edge server applications. said Alex Chou, senior vice president of the enterprise storage & display interface solution business at Silicon Motion.
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.
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.
In terms of raw server and storage capacity, enterprise data centers will not be shrinking at all. Many applications are better served on-premises The notion that eventually all applications should be migrated to the cloud has not proved true. They will remain relatively stable, says Synergy. Then the bills starting coming due.
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. It’s a tall order, because as technologies, business needs, and applications change, so must the environments where they are deployed.
And, the company said in its The State of the Enterprise Edge report presenting the survey, the top benefits respondents plan to achieve by implementing edge solutions are faster response times for latency-sensitive applications (68%) and improved bandwidth/reduced network congestion (65%). The way that they use the network is different.
BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage. The beauty of Nvidia BlueField is that it enables comprehensive visibility at the host, network, and application levels at the same time, said the spokesman.
This approach enhances the agility of cloud computing across private and public locations—and gives organizations greater control over their applications and data. Public and private cloud infrastructure is often fundamentally incompatible, isolating islands of data and applications, increasing workload friction, and decreasing IT agility.
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. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Application programming interfaces.
The companies rolled out the Cisco Secure AI Factory with Nvidia, which brings together Cisco security and networking technology, Nvidia DPUs, and storage options from Pure Storage, Hitachi, Vantara, NetApp, and VAST Data. Hypershield uses AI to dynamically refine security policies based on application identity and behavior.
Accelerated by2 NVIDIA H100NVL, [HPE Private Cloud AI Developer System] includes an integrated control node, end-to-end AI software that includes NVIDIA AI Enterprise and HPE AI Essentials, and 32TB of integrated storage providing everything a developer needs to prove and scale AI workloads, Corrado wrote.
Outdated software applications are creating roadblocks to AI adoption at many organizations, with limited data retention capabilities a central culprit, IT experts say. If the application itself is legacy, with bad code stored in different places, all sorts of problems can come from the app itself, he adds.
With Gaudi 3 accelerators, customers can more cost-effectively test, deploy and scale enterprise AI models and applications, according to IBM, which is said to be the first cloud service provider to adopt Gaudi 3. Businesses can pick their compute, storage and networking resources as needed, IBM stated. IBM watsonx.ai
While its still possible to run applications on bare metal, that approach doesnt fully optimize hardware utilization. As such they benefit from pod networking and storage, managed through standard Kubernetes tools like kubectl. Run traditional VM workloads alongside containerized applications in Kubernetes clusters.
This includes everything from devices to data centers and cloud, as well as an open ecosystem of technology partners to create AI applications through a traditional purchase or as a subscription to Dell Apex, its collection of multi-cloud services. “AI AI is transforming business at an unprecedented rate.
Security gets a boost with secret store container storage interface (CSI) One of the more challenging aspects of cloud-native Kubernetes deployments is managing secrets.Secret are passwords and access credentials for services, and they should not be exposed or hard coded into applications.
Juniper Networks continues to grow its enterprise cloud- security family with a new product that promises to protect application workloads in any cloud or on-premises environment. Backup lessons from a cloud-storage disaster. To read this article in full, please click here
Java Java is a programming language used for core object-oriented programming (OOP) most often for developing scalable and platform-independent applications. With such widespread applications, JavaScript has remained an in-demand programming language over the years and continues to be sought after by organizations hiring tech workers.
At the other end of the speed spectrum, the Ethernet Alliance also produced the first Single Pair Ethernet plugfest to advance seamless interoperability for products and services designed for 10BASE-T1L applications. Efforts are already underway to focus on compliance, performance enhancements, storage, and management solutions.
Security applications can now analyze and detect trends and anomalies in vast seas of information. But how much is enough? And how much is too much information? The more you need to store and the more features you add, the higher costs rise. What is the right balance? Find out in this TechRepublic Premium feature.
All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The data is spread out across your different storage systems, and you don’t know what is where. How did we achieve this level of trust? Through relentless innovation.
When organizations migrate applications to the cloud, they expect to see significant benefits: increased scalability, stronger security and accelerated adoption of new technologies. Certainly, no CIO would try to migrate a mainframe or a traditional monolithic application directly to the cloud. Whats the solution? Modernization.
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.
Software-as-a-service (SaaS) offers many benefits, including but not limited to elasticity: the ability to shrink and grow storage and compute resources on demand. Ultimately, elasticity requires both application and data components (compute and store) to be elastic, […].
F5 and NetApp announced plans to combine their technologies to help enterprise customers securely deploy AI applications across multicloud environments. NetApp’s Cloud Volumes ONTAP and Azure NetApp Files optimize cloud storage costs and performance while enhancing data protection and compliance.
The fact is, there are other options to consider — ones that better leverage AI investments across the enterprise, bridging applications, databases and broad business processes. Beware of escalating AI costs for data storage and computing power. Further, they don’t involve costly upgrades.
Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department. We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center.
In addition to Dell Technologies’ compute, storage, client device, software, and service capabilities, NVIDIA’s advanced AI infrastructure and software suite can help organizations bolster their AI-powered use cases, with these powered by a high-speed networking fabric.
Erosion of the traditional network perimeter and the transition to work-from-anywhere have conspired to bring an unprecedented threat level to endpoint devices, users, and applications, Cisco CEO Chuck Robbins told the online audience at the virtual RSA Conference 2021. Backup lessons from a cloud-storage disaster.
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. The cloud is the future for running your AI workload, Shenoy says.
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