Dynatrace

OCTOBER 26, 2020

First, they used a video camera and trained an AI model but then decided to use a less privacy-intrusive variant with an infrared sensor. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project. Raspberry Pi Model 3 B.

Innovation 234

Innovation Metrics Hardware Open Source 234

Dynatrace

APRIL 21, 2023

The obvious costs of tool sprawl can quickly add up, including licensing, support, maintenance, training, hardware, and often additional headcount. Additionally, the constant and rapid pace of technology innovation causes many “best-of-breed” solutions to become outdated quickly while organizations are still paying for them.

Government 239

Government Infrastructure Innovation Monitoring 239

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little.

Cloud 241

Cloud Traffic Best Practices Strategy 241

O'Reilly

AUGUST 4, 2022

The 604 tasks Gato was trained on vary from playing Atari video games to chat, from navigating simulated 3D environments to following instructions, from captioning images to real-time, real-world robotics. For example, how many training examples does it take to learn something?

Games 136

Games Social Media Hardware Architecture 136

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model.

Artificial Intelligence 264

Artificial Intelligence Cloud Best Practices DevOps 264

O'Reilly

SEPTEMBER 15, 2021

Most respondents participated in training of some form. Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. Company-provided training opportunities were most strongly associated with pay increases. Demographics.

Azure 145

Azure Programming AWS Social Media 145

Brendan Gregg

MAY 1, 2022

My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware. Teaching others is another passion of mine – it's what drives me to write books, create training materials, and write blog posts here.

Wireless 144

Wireless Open Source Hardware AWS 144

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. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. We also use Python to detect sensitive data using Lanius.

Open Source 280

Open Source Network Infrastructure Big Data 280

ACM Sigarch

APRIL 26, 2018

GPU: Graphics Processing Unit (GPU) , which achieves high data parallelism with its SIMD architecture, has played a great role in the current AI market, from training to inference. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. FPU: Floating Processing Unit (FPU). The new GV100 packs 7.4

Hardware 100

Hardware Artificial Intelligence Architecture Google 100

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. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security. So why bother innovating?

Cloud 187

Cloud Hardware Infrastructure Innovation 187

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 137

Open Source Google Artificial Intelligence Infrastructure 137

CSS Wizardry

OCTOBER 27, 2018

My involvement with clients here is usually workshops and training: teaching developers the knowledge and tooling required to effectively conduct performance audits, and making teams self-sufficient. Who: Engineers. When: During development.

Performance Testing 211

Performance Testing Testing Performance Strategy 211

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 214

Java C++ Benchmarking Programming 214

O'Reilly

SEPTEMBER 19, 2023

A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware.

Hardware 135

Hardware Storage Big Data Blockchain 135

Percona

JANUARY 3, 2024

sec) Conclusion These methods provide solutions for ProxySQL backups and restores, which play a pivotal role in safeguarding the integrity of your data and providing defense against various disasters, hardware malfunctions, data loss, and corruption. Reach out to us today to schedule your instructor-led class!

Traffic 120

Traffic Hardware Cache Servers 120

Percona

SEPTEMBER 22, 2023

If you ran IBM hardware, then you ran IBM software, and that handy calendaring program that ran on Data General or Digital hardware/software was unavailable to you. You either get to pay for the privilege of having less freedom or find yourself sequestered with rapidly aging software.

Open Source 126

Open Source Software Software Hardware 126

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. If all of this seems overwhelming or difficult to understand, our world-class MySQL Training is here to help. I hope this helps!

Performance 144

Performance Hardware Tuning Storage 144

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 Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system.

Media 295

Media Metrics Systems Processing 295

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 153

AWS Lambda Artificial Intelligence Mobile 153

Alex Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. Standard stuff.

Cache 126

Cache Latency Benchmarking Hardware 126

Adrian Cockcroft

SEPTEMBER 23, 2024

Deep dive into NVIDIA Blackwell Benchmarkswhere does the 4x training and 30x inference performance gain, and 25x reduction in energy usage comefrom? The first benchmark claim is 4x for training performance vs. H100, rather than the 2.5x The over-all 4x training speedup claim seems plausible for large configurations.

Benchmarking 52

Benchmarking Energy Architecture Latency 52

High Scalability

JULY 26, 2018

Ops: "Sorry, 3-5 month lead time on DC hardware and our switches are near capacity" - coming soon to an on-prem "serverless" project near you. Peter : DARPA foresee a third one in which context-based programs are able to explain and justify their own reasoning.

Internet 124

Internet Internet Scalability Serverless 124

O'Reilly

MARCH 11, 2025

Much of the code ChatGPT was trained on implemented those dark patterns. This came home to me vividly when I read a paper that outlined how when ChatGPT was asked to design a website, it built one that included many dark patterns.

Artificial Intelligence 52

Artificial Intelligence Hardware Website Media 52

O'Reilly

MARCH 18, 2025

Then there was the need for separate dev, QA, and production runtime environments, each of which called for their own hardware. Are you licensed to use that training data for this specific commercial purpose? (Remember the misguided job postings that required a computer science degree?)

Best Practices 63

Best Practices Java Software Software 63

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. The other continuing trend is to custom silicon, with specialized accelerators and the ARM based Graviton range from AWS, Apple’s M1 series, Tesla’s in car processor and training engines etc.

Serverless 98

Serverless Hardware AWS Architecture 98

The Morning Paper

JUNE 11, 2019

The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections.

Network 81

Network Strategy Hardware Benchmarking 81

The Morning Paper

FEBRUARY 18, 2020

The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI.

Government 95

Government Software Engineering Storage Database 95

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 220

Code Metrics Open Source Efficiency 220

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 132

Availability Database Open Source Hardware 132

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 113

Cloud Open Source Strategy Best Practices 113

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Testlodge

MARCH 12, 2024

End-to-end tests can often include hardware. If this is the case, request hardware units as early as possible to avoid any delays in testing due to supply issues. It has an abundance of training tutorials and documentation. Cypress – Cypress is also an open-source tool for end-to-end testing of web applications.

Systems 90

Systems Testing Open Source Hardware 90

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. Was it trained using biased, unfair data? Is retraining needed?

Games 141

Games Healthcare Processing Systems 141

The Morning Paper

FEBRUARY 27, 2020

memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. Ambient faults due to e.g. hardware faults, network timeouts, and gray failures are occurring all the time, and many of these are unrelated to deployments.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. If the solution works as envisioned, Telenor Connexion can easily deploy it to production and scale as needed without an investment in hardware.

AWS 119

AWS Cloud Games Serverless 119