kubernetes-gets-back-to-scaling-with-virtual-clusters 
IBM Journey to AI blog
FEBRUARY 15, 2024
Kubernetes (K8s) containers and environments are the leading approach to packaging, deploying and managing containerized applications at scale. The dynamic, open-source , microservices-based configuration of Kubernetes can be a great fit for businesses that are looking to maximize infrastructure agility.
IBM Journey to AI blog
DECEMBER 14, 2023
As it has become tradition , the team creating the looks back and shares the personal highlights of the year 2023. Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). IBM introduced watsonx as the AI and data platform built for business.
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IBM Journey to AI blog
NOVEMBER 2, 2023
When it comes to modern IT infrastructure, the role of Kubernetes —the open-source container orchestration platform that automates the deployment, management and scaling of containerized software applications (apps) and services—can’t be underestimated.
The MLOps Blog
OCTOBER 3, 2023
She is currently the head of MLOps at FeatureForm , a virtual feature store. In this episode, Mikiko Bazeley shares her learnings from building the ML Platform at Mailchimp. You can watch it on YouTube: Or Listen to it as a podcast on: Spotify Apple Podcasts But if you prefer a written version, here you have it! Nice to have you here, Miki.
FEBRUARY 16, 2023
Modern model pre-training often calls for larger cluster deployment to reduce time and cost. As part of a single cluster run, you can spin up a cluster of Trn1 instances with Trainium accelerators. These EFA interfaces help run model training workloads that use Neuron Collective Communication Libraries at scale.
The MLOps Blog
APRIL 5, 2023
Getting it right can mean the difference between a successful deployment and a project that may never see the light of day. Versioned : Keeping track of multiple model versions can be difficult, but model packaging makes it easier to version models, track changes, and roll back to previous versions if needed.
The MLOps Blog
JUNE 27, 2023
As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. MLOps landscape One of the defining characteristics of the MLOps landscape in 2023 is the coexistence of both open-source and closed-source solutions.
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