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Nvidia’s ‘hard pivot’ to AI reasoning bolsters Llama models for agentic AI

CIO

The Llama Nemotron family of models are available as Nvidia NIM microservices in Nano, Super, and Ultra sizes, which enable organizations to deploy the models at scales suited to their needs. Nano microservices are optimized for deployment on PCs and edge devices. Super microservices are for high throughput on a single GPU.

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Azure container Apps: The future of Microservices in Azure?

Xebia

Their aim when building Azure Container Apps was to create an opinionated way of deploying containerized workloads to Azure that brings several features that Kubernetes could provide without having to manage a cluster: autoscaling, zero downtime deployments and traffic shaping with control over ingress.

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Can serverless fix fintech’s scaling problem?

CIO

To avoid creating too many microservices using serverless FaaS (Function-as-a-Service) patterns, we decided to align to an enterprise capabilities framework to help us define the number of components and leverage a domain-driven design approach.

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Nvidia AI Enterprise adds generative AI microservices

CIO

of Nvidia’s enterprise-spanning AI software platform will feature a smorgasbord of microservices designed to speed app development and provide quick ways to ramp up deployments, the company announced today at its GPU Technology Conference. Containers, Generative AI, Microservices, Nvidia Version 5.0 the company said.

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Microsoft Taps vFunction to Refactor Java Apps for Azure

DevOps.com

Microsoft has teamed up with vFunction to make it easier to convert monolithic Java applications into a set of microservices that can be deployed on the Microsoft Azure cloud. The post Microsoft Taps vFunction to Refactor Java Apps for Azure appeared first on DevOps.com.

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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

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The future of Cloud-native software development with Radius

Xebia

Microservices Building on the principles of SOA, Microservices architecture further decomposed applications into self-contained autonomous business capabilities. Each Microservice focused on a specific business function and could be independently developed, deployed, and scaled.