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AI at Scale isn't Magic, it's Data - Hybrid Data

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”.

How to Accelerate HuggingFace Throughput by 193%

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.

How Codemagic managed to lower its prices and improve its infrastructure

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.

Is AI/ML Transforming the Banking Industry

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.