Network World

DECEMBER 16, 2024

Alice & Bob devise cat qubits Also in January, quantum computing startup Alice & Bob announced their new quantum error correction architecture. By comparison, superconducting qubits and trapped ion cubits operate at temperatures close to absolute zero. On-premises systems can be ordered for 2025 delivery.

IBM 398

IBM Microsoft Research System 398

CTOvision

MAY 23, 2014

Time to value: MapReduce development time is reduced by up to 15x versus hand-coding based on comparisons. Leading Global Network Storage Company had a goal of scaling machine data management to enhance product performance and customer success. Customer ROI. Enhance product performance. 15x data cost improvement.

Big Data 298

Big Data Data Architecture Storage 298

CIO Business Intelligence

NOVEMBER 2, 2023

Historically, our jobs as infrastructure and security professionals have involved installing the “plumbing” that ensures organizations remain connected through traditional networking and security practices. For decades, organizations have considered networking and security a cost of doing business. Important, but rarely revolutionary.

Data Center 356

Data Center Network Applications Security 356

CIO Business Intelligence

JUNE 20, 2023

In a previous blog , I described the three areas of product development and operation that HPE Aruba Networking focuses on when designing our products for IT efficiency and sustainable operations—like how products are made, how they work, and how they are being used. But what about the product lifecycle itself?

Network 300

Network Hardware Comparison Budget 300

CIO Business Intelligence

JUNE 22, 2022

By way of comparison, every US$1 of investment made outside technology only boosted GDP by a meager US$3. The Industry’s First Deterministic IP Network Solution. Instability and jitter are among the biggest issues impacting service assurance and network architecture, hindering the digital transformation process across industries.

Transportation 264

Transportation Network Storage Industry 264

Dataconomy

MARCH 26, 2025

Graph neural networks (GNNs) represent a cutting-edge evolution in the domain of artificial intelligence, tailored specifically to analyze the connections and relationships within various types of graph data. What are graph neural networks (GNNs)? Computer Vision: They enhance various image classification and object detection tasks.

Network 36

Network Architecture Applications Artificial Intelligence 36

Network World

SEPTEMBER 13, 2024

According to a comparison cited by Goswami, the platform’s dot product engine delivers 4.1 According to a comparison cited by Goswami, the platform’s dot product engine delivers 4.1 The rise of neuromorphic computing Neuromorphic computing is an advanced field of computing that mimics the architecture and processes of the human brain.

Energy 436

Energy Hardware Training Film 436

CIO Business Intelligence

APRIL 19, 2022

By comparison, those who don’t prioritise making full use of their data may well continue to exist but the laggards in this space will eventually get left behind as the world transitions around them. View the report: Making Hybrid IT Agile: Using Colocation and Networking to Drive Digital Transformation.

Data 195

Data Company Architecture Study 195

CIO Business Intelligence

APRIL 2, 2025

By comparison, the previous record-holder for most expensive downtime was the 2017 AWS outage, which cost customers an estimated $150 million. The overall cost was estimated at $5.4 Delta alone had more than $500 million in losses as a result of crippled operations and thousands of flight cancellations and delays.

CTO Hire 173

CTO Hire Fractional CTO Exercises Software 173

Dataconomy

MARCH 19, 2025

Nvidia unveils powerful AI superchips: Blackwell Ultra GB300 arrives soon The Blackwell Ultra GB300, while part of Nvidia’s annual cadence of AI chip releases, does not utilize a new architecture. In comparisons with the H100 chip, which significantly contributed to Nvidia’s AI success in 2022, the Blackwell Ultra offers 1.5

Architecture 36

Architecture HP Dell Comparison 36

Storage IO Blog

OCTOBER 28, 2014

I often get asked, or, told that computer data storage is complex with so many options to choose from, apples to oranges comparison among other things.

Storage 79

Storage Data Backup Travel 79

Dataconomy

MARCH 10, 2025

Neural net processors are microchips crafted to emulate brain-like processing capabilities, allowing machines to perform complex tasks akin to those carried out by biological neural networks. Computer vision: They facilitate the real-time analysis of images and videos, pulling from the principles that govern neural networks.

.Net 36

.Net Artificial Intelligence Architecture Applications 36

Phil Windley

FEBRUARY 6, 2024

There's a name in the financial services industry for the network that reduces risk so that trust can be replaced with confidence: an acceptance network. Each component of the acceptance network plays a crucial role in ensuring that transactions are processed efficiently, securely, and accurately.

Network 89

Network Banking Financial Government 89

Dataconomy

MARCH 13, 2025

The facility will include a 60-rack innovation lab where organizations can benchmark performance gains across different AI and HPC architectures.

Data Center 36

Data Center Architecture Comparison Healthcare 36

Dataconomy

MARCH 19, 2025

Developed by Google, these devices are application-specific integrated circuits (ASICs) that enhance the performance of AI algorithms, particularly for tasks related to neural networks and deep learning. Their architecture is less suited to the large-scale matrix operations that are typical in modern ML applications.

Architecture 36

Architecture Applications Comparison Training 36

Dataconomy

MARCH 21, 2025

This attribute has made TCAM a cornerstone in networking and emerging technologies, where speed and accuracy are paramount. This capability is crucial for scenarios where speed is of the essence, such as in network routing. In contrast, TCAMs architecture enables instant searching across its memory space.

Artificial Intelligence 36

Artificial Intelligence IPv6 Network Applications 36

Dataconomy

MARCH 13, 2025

The key to this capability lies in its core component: neural networks. Deep learning is a subset of artificial intelligence that utilizes neural networks to process complex data and generate predictions. Definition of neural networks Neural networks are designed to recognize patterns in data. What is deep learning?

Artificial Intelligence 36

Artificial Intelligence Network Analysis Healthcare 36

Storage IO Blog

OCTOBER 17, 2018

Cloud File Data Storage Consolidation and Economic Comparison Model #blogtobertech The following is a new Industry Trends Perspective White Paper Report titled Cloud File Data Storage Consolidation and Economic Comparison Model.

Comparison 51

Comparison Storage Cloud Data 51

Dataconomy

MARCH 17, 2025

With its advanced architecture and multifaceted applications, PaLM opens new avenues for technology and user engagement. PaLM is a sophisticated large language model developed by Google that leverages a transformer neural network architecture to improve language processing tasks. What is the Pathways Language Model (PaLM)?

Analysis 36

Analysis Architecture Google Applications 36

Scott Lowe

DECEMBER 6, 2012

Networking. If you’re interested in learning more about OpenFlow and software-defined networking but need to do this on a shoestring budget in your home lab, a number of guides have been written to help out. Also see the “Networking” section above for a related post on the networking aspects involved.

Vmware 115

Vmware Virtualization Storage Hardware 115

Dataconomy

MARCH 12, 2025

The Rectified Linear Unit (ReLU) has become a cornerstone of modern deep learning, helping to power complex neural networks and enhance their predictive capabilities. Its unique properties allow models to learn more efficiently, particularly in the realm of Convolutional Neural Networks (CNNs). What is the Rectified Linear Unit (ReLU)?

Training 36

Training Network Comparison Applications 36

Dataconomy

MARCH 25, 2025

Its ability to effectively handle the complexities of training neural networks makes it a preferred choice among practitioners. By adjusting the learning rate for each parameter dynamically, RMSProp helps prevent issues such as vanishing gradients, which can stall training progress in deep neural networks.

Training 36

Training Network Comparison Applications 36

Dataconomy

MARCH 5, 2025

Training process During the training phase, generative models typically leverage neural networks to obtain optimal parameters that reflect the data’s underlying distribution. Generative adversarial networks Generative Adversarial Networks (GANs) consist of two neural networks, a generator and a discriminator, that work in tandem.

Training 36

Training Quality Assurance Applications Network 36

Dataconomy

MARCH 21, 2025

Comparison with other AI models To appreciate the advancements brought by multimodal AI, it’s essential to compare it with unimodal AI models. Complexity in decision-making The inner workings of neural networks can obscure the decision-making process, making it difficult for developers to troubleshoot or improve models.

Storage 36

Storage Applications Data Artificial Intelligence 36

Fountainhead

JUNE 29, 2009

HPs BladeSystem Matrix architecture is based on VirtualConnect infrastructure, and bundled with a suite of mostly existing HP software (Insight Dynamics - VSE, Orchestration, Recovery, Virtual Connect Enterprise Manager) which itself consists of about 21 individual products. But how revolutionary and simplifying are they?

Analysis 147

Analysis HP Data Center Virtualization 147

Dataconomy

MARCH 17, 2025

PyTorch simplifies the process of building and training neural networks, making it accessible to both beginners and seasoned professionals. This capability is particularly beneficial in scenarios where model architectures need to evolve and adapt based on incoming data.

Training 36

Training Open Source Research Architecture 36

CIO Business Intelligence

JANUARY 4, 2023

It’s important to note that more research and benchmark comparisons are needed to help customers make the best decisions. As with DPUs, more research and quantifiable comparisons are needed to support customers in determining whether composable infrastructure is right for their next system.

Dell 147

Dell Data Center Intel Artificial Intelligence 147

Cloud Musings

DECEMBER 28, 2016

TBD 2017 - Cloud Architecture : Manage the design and plan the implementation of cloud architectures. Cloud architects must also evaluate, and plan for the appropriate compute, network, database, and security components to build a solution that meets the needs of their organization. Olisipo from Olisipo on Vimeo.

Systems Administration 84

Systems Administration Cloud Course Training 84

Scott Lowe

APRIL 7, 2023

Networking Jeff McLaughlin discusses what he calls the “war on expertise.” He has another pair of posts; in the first post he dives deeper into using D2 for generating vSphere diagrams and discusses some of the pros and cons of D2; in the second post he shows using D2 for network diagrams. and Kong API Gateway 3.0.

Applications 97

Applications Comparison Cloud Intel 97

Scott Lowe

MARCH 5, 2013

This Technology Short Take is a bit heavy on the networking side, but I suppose that’s understandable given my recent job change. Networking. Ben Cherian, Chief Strategy Officer for Midokura, helps make a case for network virtualization. Note: Midokura makes a network virtualization solution.) Am I wrong?

Virtualization 108

Virtualization Storage Vmware Network 108

Dataconomy

OCTOBER 11, 2024

Generative AI models are often built using techniques like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). Models like regression analysis, decision trees, and neural networks are often employed to predict outcomes. Another significant difference is their architecture.

Comparison 48

Comparison Training Data Artificial Intelligence 48

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership and the Return on Agility. By Werner Vogels on 16 August 2012 10:00 AM.

Agile 96

Agile Applications Comparison CTO Hire 96

Scott Lowe

NOVEMBER 7, 2017

The “trilogy” refers to the third iteration of this presentation; each time the comparison has been done in a different geographical region (first in Europe, then in North America, and finally here in Asia-Pacific). Lago takes over now to set some assumptions for the comparisons.

Comparison 60

Comparison Cloud Hardware Examples 60

Scott Lowe

AUGUST 26, 2014

Fathi re-emphasizes that VMware’s SDDC vision is an architecture, one built on the “power of AND.” ” vCloud Suite (and vCloud Air) is a manifestation of the SDDC vision/architecture. VMware’s SDDC vision/architecture delivers the power of “AND.” betas of vSphere and VSAN).

Vmware 79

Vmware Architecture Storage Applications 79

Dataconomy

AUGUST 14, 2023

A client computer is a key player in the client-server model of computer networks ( Image credit ) What is a client computer? At its heart, a client computer plays a vital role in the client-server model, which is like the foundation of computer networks. Sometimes, the client and server are separate machines connected by networks.

Meeting 68

Meeting Resources Network Applications 68

Dataconomy

MARCH 10, 2025

Technical foundations Small language models primarily leverage transformer architectures and neural networks. Comparison between SLMs and LLMs Understanding the differences between small and large language models is crucial for making informed decisions about AI implementation.

Training 36

Training Resources Applications Artificial Intelligence 36

Cloud Musings

SEPTEMBER 12, 2016

In comparison with other cloud computing certifications, the NCTA CloudMASTER® certification demonstrates real-world knowledge through practical activities and lab exercises, allowing students to learn and showcase a complete portfolio of skills on a wide range of common cloud technologies.

Training 70

Training Cloud Disaster Recovery Vmware 70