by Azalio tdshpsk | Jan 22, 2022 | Cloud
This article is the final in the three part series to explore the performance debugging ecosystem of PyTorch/XLA on Google Cloud TPU VM. In the first part, we introduced the key concept to reason about the training performance using PyTorch/XLA profiler and ended with...
by Azalio tdshpsk | Jan 22, 2022 | Cloud
Enterprises are increasingly seeking out technologies that help them create unique experiences for customers with speed and at scale. At the same time, customers want flexibility when deciding where to manage their enterprise data, particularly when it comes to...
by Azalio tdshpsk | Jan 22, 2022 | Cloud
Microservice applications are popular, and for good reason. They offer flexibility over monolithic applications, and superior scalability when containerized and deployed to Kubernetes. To be functional, a microservice application must run all its services.Issues arise...
by Azalio tdshpsk | Jan 22, 2022 | Cloud
Editor’s note: TELUS, a Canadian communications and information technology company, has transformed their approach to data science with Google Cloud services. Here’s how they’ve broken down data silos, accelerated data engineering tasks, and democratized data...
by Azalio tdshpsk | Jan 22, 2022 | Cloud
As lead for analytics and AI solutions at Google Cloud, my team works with startups building on Google Cloud. This puts us in the fortunate position to learn from founders and engineers about how early-stage startups’ investments can either constrain them or position...
by Azalio tdshpsk | Jan 21, 2022 | Cloud
Google Cloud launched the Anthos platform in April 2019, promising customers a way to run Kubernetes workloads on-premises, in the Google Cloud, and, crucially, in other major public clouds including Amazon Web Services (AWS) and Microsoft Azure.Speaking at Google...
