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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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Bridging the gap: Unified platform for VM and containerized workloads

CIO

To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Moving applications between data center, edge, and cloud environments is no simple task.

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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 Nvidia’s AI Enterprise 5.0

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Breaking down silos: A holistic approach to running Virtual Machines and Containers on the same platform at scale.

CIO

Although organizations have embraced microservices-based applications, IT leaders continue to grapple with the need to unify and gain efficiencies in their infrastructure and operations across both traditional and modern application architectures.

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How to Overcome Monitoring Challenges with Kubernetes

OverOps

Containerized microservices enable developers and DevOps engineers to meet these demands. Microservices are simple to develop, test, deploy, and scale, but they’re not without their own challenges. Each microservice must be individually configured, deployed, and monitored.

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NVIDIA launches ‘easy button’ for creating gen AI workflows

CIO

The catalog is built on NVIDIA NIM , a slate of microservices composed of downloadable software containers for speeding the deployment of enterprise gen AI applications. Enterprises can modify the sample applications using their own business data and run the resulting gen AI applications across accelerated data centers and clouds.

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Choice Hotels’ all-in cloud journey to sustainable business value

CIO

If you look at Amazon’s journey, and the way they run their data centers, they claim to be five times more energy efficient than an average data center.” Choice closed one data center last year and plans to close its second data center in 2023.

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