InfoQ

AUGUST 3, 2023

AWS recently announced the general availability (GA) of Amazon EC2 P5 instances powered by the latest NVIDIA H100 Tensor Core GPUs suitable for users that require high performance and scalability in AI/ML and HPC workloads. The GA is a follow-up to the earlier announcement of the development of the infrastructure.

AWS 77

AWS Availability Scalability Infrastructure 77

Scalegrid

JANUARY 11, 2024

Native tools, such as CloudWatch from AWS, have more extensive integrations and provide comprehensive protection for data in the cloud compared to their third-party counterparts. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch. What is the most effective cloud security?

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

All Things Distributed

SEPTEMBER 29, 2016

As such there is also a strong need for fundamental research on these interactions, best described as “Conversational Artificial Intelligence.”. The team with the highest-performing socialbot will win a $500,000 prize. Today, we are pleased to announce the Alexa Prize, a $2.5 For more information, check out the Alexa Prize page.

Artificial Intelligence 139

Artificial Intelligence Healthcare AWS Government 139

Abhishek Tiwari

JULY 8, 2023

Testing was primarily performed during the development lifecycle to identify and fix bugs, errors, and other issues before releasing the software to users. Monitoring, on the other hand, was conducted post-release to continuously observe and measure system performance, identify bottlenecks, and ensure availability.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

High Scalability

JUNE 22, 2018

Each drone is rated with a game mechanic and gets special privileges based on performance (just kidding). Eitally : there are a few critical differences between GCP and AWS or Azure. Hey, it's HighScalability time: 4 th of July may never be the same. China creates stunning non- polluting drone swarm firework displays.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. through our AWS integrations and monitoring support.

AWS 142

AWS Artificial Intelligence Best Practices Lambda 142

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week. Connecting edge services in the cloud (for example, AWS for the Edge ).

Serverless 241

Serverless Efficiency Lambda Azure 241

Scalegrid

MARCH 14, 2024

Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Adopting this level of data segmentation helps to maximize Grail’s performance potential.

Artificial Intelligence 256

Artificial Intelligence Analytics Metrics Storage 256

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Here are some of the key Greenplum advantages that can help you improve your database performance: High Performance.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data management.

Artificial Intelligence 202

Artificial Intelligence Storage Analytics Government 202

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. billion in 2020 to $4.1

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage.

Software Architecture 136

Software Architecture DevOps Data Engineering Architecture 136

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? The performance of any AI model degrades over time, and as far as we know, large language models are no exception. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

KeyCDN

MARCH 14, 2019

Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. TensorFlow is an excellent tool for making your own machine learning models using just JavaScript, but you can also use services like AWS Rekognition to add image recognition capabilities to your projects with relative ease.

Development 101

Development Blockchain Serverless Social Media 101

Testsigma

MAY 19, 2021

Testsigma is a popular cloud-based test automation tool equipped with artificial intelligence and natural language processing capabilities. With Testsigma, it becomes a lot easier to perform automation testing on the cloud with scriptless testing functionalities. Give Testsigma a try with its free trial and test for yourself.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

All Things Distributed

MAY 21, 2018

Only parts of the processes are being performed by machines, or at least supported by them. And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. Ultimately, the desired product or service is delivered in – hopefully – the desired quality.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

O'Reilly

MARCH 23, 2023

While it is still very large, it is significantly smaller than models like GPT-3 while offering similar performance. But bulk isn’t everything; a lot of work is going into making language models more efficient, and showing that you can get equivalent (or better) performance with fewer parameters. Chinchilla Also developed by Google.

Google 107

Google Open Source Programming Code 107

All Things Distributed

NOVEMBER 30, 2016

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console. Getting started with Rekognition is simple.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165