Deploying models is becoming easier every day, especially thanks to excellent tutorials like Transformers-Deploy. It talks about how to convert and optimize a Huggingface model and deploy it on the Nvidia Triton inference engine. Nvidia Triton is an exceptionally fast and solid tool and should be very high on the list when searching for ways to deploy a model. Our developers know this, of course, so ClearML Serving uses Nvidia Triton on the backend if a model needs GPU acceleration.

Artificial Intelligence (AI) is quite powerful and is constantly evolving and currently knows no bounds. It is focused on outperforming its limits using the power of Machine Learning (ML). AI is empowering computers to do things that human beings are unable to do efficiently and effectively and machine learning is aiding the computers to do so by breaking the rules of traditional programming.

Discover how mobile teams building finance apps rate themselves across the five key Mobile DevOps metrics.

Codemagic has recently decreased its prices thanks to Apple M1 machines. How is it possible for us to provide Apple M1 VMs to everybody, including those on a Free plan, and lower the prices at the same time? Codemagic’s CTO Mikhail Tokarev took some time to share the details, including the technical aspects behind our recent changes.

Google Chrome is the most popular web browser in the world. Chrome extensions are small programs that extend Chrome’s functionality. Google Chrome has a standardized API through which extensions can perform various tasks in the browser. In our daily lives, we use browser extensions for various tasks, like ad and tracker blocking, grammar correction, and translation. These extensions are made using JavaScript and use the Chrome extension API to interact with the browser.

Today, the exponential growth of APIs shows no sign of slowing down. Digitally driven enterprises understand that they must deliver enhanced digital experiences to achieve sustained growth, faster innovation, and meet modern consumer needs.

It is estimated there are over 15 billion mobile devices (phones and tablets) in the world today. And customers, businesses, and service providers are using or developing native mobile apps for everyday needs.

Since the initial launch of Kong Konnect Cloud, one common feature request has (unsurprisingly) been Multi-Region support. Many customers look for SaaS solutions that support a distributed service architecture. Even at its inception, our goal was to support more than a single region. Today, we’re happy to announce Multi-Region Support for Kong Konnect Cloud.

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes. This creates flexibility to handle real-time data feed volumes as they fluctuate.

This article is about mobile security tools and five recommended security tools for building secure mobile apps with automated testing.