Percona

DECEMBER 27, 2023

AI and MLOps Kubernetes has become a new web server for many production AI workloads, focusing on facilitating the development and deployment of AI applications, including model training. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Scalegrid

JANUARY 5, 2024

Join the revolution with ScaleGrid’s DBaaS – where efficiency meets innovation. Enhancing End-User Productivity A Database Management System (DBMS) significantly aids end-users in making well-informed and timely decisions by transforming existing data into valuable information using a range of tools.

Efficiency 147

Efficiency Storage Database Scalability 147

Brendan Gregg

MAY 1, 2022

It's an exciting time to be joining: The geeks are back with Pat Gelsinger and Greg Lavender as the CEO and CTO; new products are launching including the Sapphire Rapids processor; there are more competitors, which will drive innovation and move the whole industry forward more quickly; and Intel are building new fabs on US soil.

Wireless 52

Wireless Hardware Open Source Cloud 52

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 111

Availability Database Open Source Hardware 111

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you.

Open Source 96

Open Source Database Hardware Strategy 96

Tasktop

MAY 28, 2020

And first to invent the “Top Gun” Air Combat Training System back in the early ‘70s. . At the forefront of Cubic’s Agile transformation to help the company innovate even faster is VP and CTO, Jim Colson, a former IBM fellow and a leading authority in scaling software delivery. The first magnetic strip on automated fare cards.

Speed 52

Speed Metrics Transportation Hardware 52

The Morning Paper

JUNE 27, 2019

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Performance on accelerators matters because almost all current machine learning research, and most training of production models, uses them.

Systems 87

Systems Tuning Programming Innovation 87

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling.

Analytics 135

Analytics Cloud Healthcare Retail 135

ACM Sigarch

APRIL 8, 2019

This is arguably a fundamentally hard problem for computer architecture, but efforts towards open source hardware (eg. ML and deep learning innovations are constantly in the news. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. Lack of Diversity. uarch@gmail.com.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

All Things Distributed

SEPTEMBER 4, 2017

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. We know that innovative technologies always take off whenever barriers to entry fall for market participants.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

All Things Distributed

MARCH 13, 2017

Previously, the top priorities for IT departments were equipping data centers with hardware, purchasing software, and further developing proprietary software. In most cases, you won't select a learning offer from a general training catalog, as in the pre-digital era. But to thrive, innovations need a certain tension.

Social Media 84

Social Media Retail Automotive Innovation 84

Smashing Magazine

OCTOBER 11, 2022

Businesses that achieve BCorp status can benefit (according to the website) from “committed and motivated employees, increased customer loyalty, higher levels of innovation, and market leadership”. Hardware And E-Waste. Watch the video of Jamie’s talk from Green Tech South West. Measuring The Impact.

Strategy 123

Strategy Development Energy Website 123

Adrian Cockcroft

JUNE 21, 2022

I really enjoyed the variety of working with several different customers every day, on different problems, and being part of an extremely innovative and fast growing company. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

OCTOBER 24, 2022

There is no structural separation as there is with a train service. Each cloud-native evolution is about using the hardware more efficiently. We would still be building higher and higher on top of VMs because that's where platform innovation would have stopped evolving. So why bother innovating?

Cloud 187

Cloud Hardware Infrastructure Innovation 187

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 159

Scalability Hardware AWS Tuning 159

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Scientists and engineers can contribute new innovations on three fronts, data, statistics, and visualizations. We also use Python to detect sensitive data using Lanius.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

DECEMBER 12, 2018

We also provided web-based training, self-paced labs, customer support, third-party offers, and up to $100,000 in AWS service credits–all at no charge. Hemnet started using AWS more than three years ago and has now moved all of their applications and services to AWS to innovate faster and save IT costs. Public sector.

AWS 124

AWS Cloud Games Serverless 124

High Scalability

SEPTEMBER 14, 2018

Uniting multidisciplinary teams of researchers and educators from 17 universities, IRIS-HEP will receive $5 million a year for five years from the NSF with a focus on producing innovative software and training the next generation of users.

Internet 30

Internet Internet Scalability Education 30

The Agile Manager

JUNE 23, 2007

Thus leadership and its derivative characteristics - notably innovation and responsiveness - are the result of calculated, not wanton, risk taking. They compete on cost (through, for example, labour arbitrage or volume discounts) as opposed to differentiation on value (that is, as drivers of innovation or invention.)

Technology 40

Technology Technology Energy Innovation 40

All Things Distributed

NOVEMBER 30, 2016

automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

High Scalability

NOVEMBER 25, 2019

Once it's resolved our pipeline takes over and the ticket catches the next release train. The next release train is verified by automated REST API tests and some manual smoke tests. How are software and hardware upgrades rolled out? AWS : Their pace of innovation is admiring. Miscellaneous. Who do you admire?

Architecture 52

Architecture Cache Azure Storage 52