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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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Ask HN: Who is hiring? (July 2025)

Hacker News

On the backend we're using 100% Go with AWS primitives. We're looking for backend developers who like doing DevOps'y stuff sometimes (because in a way it's the spirit of our company), or have experience with the cloud native ecosystem. All on Serverless AWS. Profitable, 15+ yrs stable, 100% employee-owned.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

I probably developed my first object-centric event log back in 2016 and used it for an industrial customer. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g. I did not call it object-centric but dynamic data model. Click to enlarge!

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The history of Kubernetes

IBM Journey to AI blog

According to a Cloud Native Computing Foundation (CNCF) report (link resides outside ibm.com), Kubernetes is the second largest open-source project in the world after Linux and the primary container orchestration tool for 71% of Fortune 100 companies. Virtualization relies on software known as a hypervisor.

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TensorFlow vs. PyTorch: What’s Better for a Deep Learning Project?

Towards AI

APIs and cloud computing platforms extend the usage of both frameworks. Cloud Integration: Google Cloud AI Platform: Integrating well with the Google Cloud API, TensorFlow can provide managed services for training and serving models. Let’s answer that question. What is TensorFlow? So, let’s take a look at PyTorch.