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By Ryan Wallner & Bhavin Shah
5
1313 ratings
The podcast currently has 83 episodes available.
In this episode, we dive into the challenges of modern CI systems and why they often hinder productivity. We explore Dagger, a programmable CI/CD pipeline engine, with insights from Sam, a former Docker engineer. Learn how Dagger addresses CI complexity, speeds up workflows, and enhances portability between local environments and CI.
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In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Kai-Hsun Chen, Software Engineer at Anyscale and maintainer of the KubeRay project. The discussion focuses on how the open source Ray project can help organizations use a single tool for data prep, model training, fine tuning and model serving workflows, both for their predictive AI and generative AI models. The discussion also dives into the KubeRay project and how it provides three different Kubernetes CRDs for Data Scientists to deploy Ray clusters on demand.
Check out our website at https://kubernetesbytes.com/
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In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Alex Lines and Vara Bonthu from AWS to talk about the Data on EKS project. The discussion dives into why AWS decided to build the Data on EKS project and provide patterns for EKS customers to use to deploy data platforms, machine learning and GenAI tools on EKS clusters. They talk about what's included and what's not included with each of these patterns and whats coming down the line.
Check out our website at https://kubernetesbytes.com/
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In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Sachi Desai, Product Manager and Paul Yu, Sr. Cloud Advocate at Microsoft to talk about the open source KAITO project. KAITO is the Kubernetes AI Toolchain Operator that enables AKS users to deploy open source LLM models on their Kubernetes clusters. They discuss how KAITO helps with running AI-enabled applications alongside the LLM models, how it helps users bring their own LLM models and run them as containers, and how KAITO helps them fine-tune open source LLMs on their Kubernetes clusters.
Check out our website at https://kubernetesbytes.com/
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In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Danielle Cook - VP of Marketing, appCD and Co-chair, CNCF Cartografos Working Group, CNCF. The discussion dives into how technical individual contributors can and should think about a business case for cloud native adoption. They talk about the cloud native maturity model and also discuss the different things business leaders care about.
Check out our website at https://kubernetesbytes.com/
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In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Brandon Jacobs, an Infrastructure architect at Coreweave. They discuss how Coreweave has adopted Kubernetes to build the AI hyperscaler. The discussion dives into details around how Coreweave handles Day 0 and Day 2 operations for AI labs that need access to GPUs. They also talk about lessons learnt and best practices for building a Kubernetes based cloud.
Check out our website at https://kubernetesbytes.com/
Episode Sponsor: Nethopper
Learn more about KAOPS: nethopper.io
For a supported-demo: [email protected]
Try the free version of KAOPS now!
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Ryan Wallner and Bhavin Shah talk to Andy Grimes about the OpenShift AI Landscape.
Check out our website at https://kubernetesbytes.com/
Episode Sponsor: Nethopper
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In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Bernie Wu, VP Strategic Partnerships and AI/CXL/Kubernetes Initiatives at Memverge. They discuss about how Kubernetes is the most popular platform to run AI model training and model inferencing jobs. The discussion dives into model training, talking about different phases of a DAG, and then talk about how Memverge can help users with efficient and cost-effective model checkpoints. The discussion goes into topics like saving costs by using spot instances, hot restart of training jobs, reclaiming unused GPU resources, etc.
Check out our website at https://kubernetesbytes.com/
Episode Sponsor: Nethopper
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In this episode of the Kubernetes Bytes podcast, Ryan and Bhavin talk to Christian Posta - VP and Global Field CTO at Solo.io about all things Service Mesh. They discuss how things have evolved from the early Linkerd days to sidecar less istio service mesh implementations. They also talk about how service mesh can help you connect to application components running outside Kubernetes, and how developers and platform engineers have a shared responsibility model when it comes to implementing service mesh using internal developer platforms.
Check out our website at https://kubernetesbytes.com/
Episode Sponsor: Nethopper
Learn more about KAOPS: @nethopper.io
For a supported-demo: [email protected]
Try the free version of KAOPS now! https://mynethopper.com/auth
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In this episode of the Kubernetes Bytes podcast, Ryan and Bhavin talk to Torsten Steinbach - VP, Chief Architect for Analytics & AI at EDB about all things Vector Databases, Postgres, and why Data is important for building AI platforms. The discussion dives into how vector databases are different than relational databases and why using Postgres extensions helps organizations use their existing data for AI applications.
Check out our website at https://kubernetesbytes.com/
Kubernetes Community Days (KCD) in New York City on May 22nd, use the promo code “KUBERNETESBYTES” to get a 10% discount on your registration fees!
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The podcast currently has 83 episodes available.
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