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. Maybe start investing into open source alternatives rather than complaining they don't already exist? What some consider infrastructure or platform is just another cloud service.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

ACM Sigarch

APRIL 8, 2019

Communities in other fields have made a substantial effort towards “democratization,” where tools are not just made open source, but also accessible to everyone. For example, the existence and support of open-source frameworks such as LLVM or Tensorflow/Pytorch are an attractive element to many newcomers. uarch@gmail.com.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Testsigma

MAY 3, 2021

Web developers are moving their focus from desktop-first to mobile-first web design which further solidifies our understanding of how important this pocket device has become. From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Training and Selecting Right Tool Stack.

Mobile 77

Mobile Testing Operating System Hardware 77

The Netflix TechBlog

FEBRUARY 13, 2020

Using the framework we have open sourced, AVIF compression efficiency can be seen at work and compared against a whole range of image codecs that came before it. There is a potential benefit in reusing the hardware in place for video compression/decompression. We believe AV1 Image File Format (AVIF) has the potential.

Code 212

Code Metrics Efficiency Open Source 212

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

O'Reilly

JANUARY 16, 2024

I’m personally interested in this topic since I am a professor who researches human-computer interaction, user experience design, and cognitive science , so AI voice interfaces are fascinating to me. I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance.

Entertainment 73

Entertainment Internet Internet Design 73

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. 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).

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Alex Russell

APRIL 29, 2021

Apple Corporate is at fault, not Open Source engineers or the line managers who support them. Education, tools, and training all support the premise that supporting more browsers is better ( ceteris paribus ), creating a substantial incentive to grease squeaky wheels. is access to hardware devices. Shape Detection.

Media 145

Media Games Education Engineering 145

Alex Russell

JUNE 20, 2020

In each quantum of time, hardware and OS vendors press ahead, adding features. As OS and hardware deployed base integrate these components, the set of what most computers can do is expanded. This is often determined by hardware integration and device replacement rates.

Hardware 55

Hardware Games Java Media 55

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 99

Hardware Storage Big Data Blockchain 99

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

Smashing Magazine

AUGUST 22, 2021

However, TCP is typically implemented in the operating system’s (OS’) kernel, a secure and more restricted environment, which for most OSes isn’t even open source. There have been efforts to add this with the TCP Fast Open extension; however, as discussed in part 1 , this has turned out to be difficult to deploy at scale.

Performance 105

Performance Network Latency Servers 105