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Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. In general, datacenters and data storage and management have been hot among investors as businesses of all sizes try to use their data to scale up AI initiatives.
Keep Labs built a lockable storage container for medicine, and it doesn’t matter if the meds come in bottles, boxes or dime bags. The Keep is designed to hold them safely and track their use. The company launched in 2019, won — and lost — an innovation award at CES 2020, and this week started […]
Swiss privacy-focused company Proton has launched its end-to-end encrypted (E2EE) cloud storage service for Mac users, four months after it landed on Windows.
Slipped at the end of its announcements for a new line of iPhones, Apple revealed two new tiers for iCloud+, its cloud storage subscription. Now subscribers can store 6 terabytes or 12 terabytes of data with these new subscription tiers. While the average consumer won’t need that much space, these plans could be useful for […]
When running a Docker container on ECS Fargate, persistent storage is often a necessity. Photo by Nataliya Vaitkevich The post ECS Fargate Persistent Storage: EFS Access Points vs. Lambda Workarounds appeared first on Xebia. While this worked, it introduced unnecessary complexity.
DDN , $300M, data storage: Data is the big-money game right now. Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. However, as usual, a company with AI ties is on top.
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. Cloud computing.
Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidats Enterprise Storage Solutions Adriana Andronescu Thu, 04/17/2025 - 08:14 Infinidat works together with an impressive array of GSI and Tech Alliance Partners the biggest names in the tech industry.
Individual Channel Partner Awards: Delivering Big on Enterprise Storage Solutions and Customer-Centric Excellence Adriana Andronescu Wed, 04/09/2025 - 08:03 The channel is important to Infinidat, and the partners who are out there every day working hard in the trenches to pursue new customer opportunities are the lifeblood of our channel business.
The data is spread out across your different storage systems, and you don’t know what is where. Maximizing GPU use is critical for cost-effective AI operations, and the ability to achieve it requires improved storage throughput for both read and write operations. Planned innovations: Disaggregated storage architecture.
The follow-on modules walk you through everything from using Terraform, to migrating workloads with HCX, to external storage options, configuring backup, and using other Google Cloud services. The lab modules start with deploying your first private cloud, as well as configuring the initial VMware Engine networking.
Cloud computing Average salary: $124,796 Expertise premium: $15,051 (11%) Cloud computing has been a top priority for businesses in recent years, with organizations moving storage and other IT operations to cloud data storage platforms such as AWS.
A lack of monitoring might result in idle clusters running longer than necessary, overly broad data queries consuming excessive compute resources, or unexpected storage costs due to unoptimized data retention. Once the decision is made, inefficiencies can be categorized into two primary areas: compute and storage.
Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago.
The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. The rapid accumulation of data requires more sophisticated data management and analytics solutions, driving up costs in storage and processing,” he says.
A lack of monitoring might result in idle clusters running longer than necessary, overly broad data queries consuming excessive compute resources, or unexpected storage costs due to unoptimized data retention. Once the decision is made, inefficiencies can be categorized into two primary areas: compute and storage.
Additionally, the platform provides persistent storage for block and file, object storage, and databases. Meanwhile, data services enable snapshots, replication, and disaster recovery for containers and VMs across all environments.
Spending on compute and storage infrastructure for cloud deployments has surged to unprecedented heights, with 115.3% Globally, service providers are expected to account for the lions share of compute and storage investments in 2024, spending $183.1 year-over-year increase in the third quarter of 2024. billion, according to the report.
“People are finding that steady-state workloads can be run much more effectively and cost-effectively in their own data centers,” said Ramaswami, highlighting how X (formerly Twitter) optimized its cloud usage, shifting more on-premises and cutting monthly cloud costs by 60%, data storage by 60%, and data processing costs by 75%.
Beware of escalating AI costs for data storage and computing power. AI has an insatiable appetite for data, which means computing and data storage costs can escalate rapidly. Such an approach is limiting and increases the likelihood that crucial capabilities may be implemented too late to deliver maximum business impact.
While open formats like Apache Iceberg offered a breakthrough by bringing transactional integrity and schema flexibility to cloud storage, they presented a dilemma for CIOs: embrace openness at the cost of fully managed capabilities, or choose fully managed services and sacrifice interoperability.
Imagine, for example, asking an LLM which Amazon S3 storage buckets or Azure storage accounts contain data that is publicly accessible, then change their access settings? MCP makes it possible to integrate AI into a wide variety of common DevOps workflows that extend beyond familiar use cases like code generation.
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.
This involves data cleaning, transformation and storage within a scalable infrastructure. Utilizing cloud-based solutions can provide the necessary flexibility and storage capacity. Data processing and management Once data is collected, it must be processed and managed efficiently.
We've already racked the replacement from Pure Storage in our two primary data centers. It's a gorgeous rack full of blazing-fast NVMe storage modules. million for the Pure Storage hardware, and a bit less than a million over five years for warranty and support. Each card in the chassis capable of storing 150TB now.
Drag and drop files to cloud storage We’re excited to announce the release of StorageLink 1.1.3, packed with powerful new features designed to streamline your file management workflows and expand your cloud storage options. This […]
Take for example the ability to interact with various cloud services such as Cloud Storage, BigQuery, Cloud SQL, etc. This is often the case for organizations that store data in Cloud Storage or analyse this using BigQuery, while there is still the legal requirement of protecting this data.
With photonics-based interconnects, organizations will be able to create efficient pools of processing units for specific use cases, such as large language model (LLM) data processing in one location, data storage in another location, and a high-speed link between the two. NTT created, alongside Sony and Intel, the IOWN Global Forum.
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.
This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models. They may implement AI, but the data architecture they currently have is not equipped, or able, to scale with the huge volumes of data that power AI and analytics.
Image capture and storage with Amplify and Amazon S3 After being authenticated, the user can capture an image of a scene, item, or scenario they wish to recall words from. Storage : Amplify was used to create and deploy an S3 bucket for storage. Amazon S3 provides highly available, cost-effective, and scalable object storage.
The power of modern data management Modern data management integrates the technologies, governance frameworks, and business processes needed to ensure the safety and security of data from collection to storage and analysis. It enables organizations to efficiently derive real-time insights for effective strategic decision-making.
It’s critical to understand the ramifications of true-ups and true-downs as well as other cost measures like storage or API usage because these can unpredictably drive-up SaaS expenses. Understanding vendor-specific terminology, pricing structures, and the nuances of contract administration are the first steps in this process.
These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Reliability and security is paramount. Without the necessary guardrails and governance, AI can be harmful.
At its annual re:Invent conference in Las Vegas, Amazon AWS cloud arm today announced a major update to its S3 object storage service: AWS S3 Express One Zone, a new high-performance and low latency tier for S3. The company promises that Express One Zone offers a 10x performance improvement over the standard S3 service.
Google today announced that Cloud Spanner, its distributed, decoupled relational database service hosted on Google Cloud, is now more efficient in terms of both compute and storage, delivering what Google describes […]
Azure Key Vault Secrets offers a centralized and secure storage alternative for API keys, passwords, certificates, and other sensitive statistics. Azure Key Vault is a cloud service that provides secure storage and access to confidential information such as passwords, API keys, and connection strings. What is Azure Key Vault Secret?
Microgrids are power networks that connect generation, storage and loads in an independent energy system that can operate on its own or with the main grid to meet the energy needs of a specific area or facility,” Gartner stated.
Related reading: The Weeks Biggest Funding Rounds: Data Storage And Lots Of Biotech Illustration: Dom Guzman Also last week, Palo Alto, California-based Hippocratic AI , which develops a safety-focused large language model for healthcare, safety and accuracy, raised a $141 million Series B valuing the company at $1.6
Despite 95% of data center customers and operators having concerns about environmental consequences, just 3% make the environment a top priority in purchasing decisions, according to a new survey by storage vendor Seagate. However, the long-term ROI of energy-efficient solutions is becoming harder to ignore.
In some cases, internal data is still scattered across many databases, storage locations, and formats. Many companies started gen AI projects without defining the problem they were trying to solve and without cleaning up the data needed to make the projects successful, he says.
Many CIO Roundtable attendees were blindsided by unexpected technical debt in the storage infrastructure. And AI apps can depend on many more petabytes of data than what legacy storage infrastructure can support. In some cases, storage that is cloud-like but remains on premises has been the best solution.
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