YouTube

*Featuring:* Dan Berrigan, lead of Worldwide Research Collaboration and Digital Capabilities Directorate for the Air Force Research Laboratory *Executive summary:* The Air Force Research Laboratory (AFRL), which helps power the innovation arm of the

YouTube

Discover how Dynamic Workload Scheduler (DWS) simplifies hardware acquisition for AI workloads on Google Cloud. This video explains DWS modes (Calendar and Flex Start) and their integration with products like Compute Engine, Kubernetes Engine, Vertex

YouTube

Learn more → https://goo.gle/AIMLonGKE With Google Kubernetes Engine (GKE), you can implement a robust, production-ready AI/ML platform with all the benefits of managed Kubernetes. This video provides an overview of the AI/ML capabilities of GKE.

YouTube

*Featured in this interview:* From ROSHN’s leadership team, Pablo Salcedo, executive director of digital products; Jayesh Maganlal, group chief information and digital officer; and Yazeed Alghmadi, director of emerging technologies, *Summary:* Google

YouTube

Enroll today → https://goo.gle/3BnKytd Want to learn Google Cloud but don't know where to start? Looking for hands-on experience with the Google Cloud console? Google Cloud Essentials is a series of labs where you learn to: Create and manage virtual

YouTube

Tutorial: Deploy Gemma 2 with multiple LoRA adapters using TGI on GKE → https://goo.gle/4f5KP1C Video: Train a LoRA adapter with your own dataset → https://goo.gle/4gkBLar Deep dive: A conceptual overview of Low-Rank Adaptation (LoRA) →

YouTube

Jia Li, Co-Founder and Chief AI officer at LiveX AI describes how they built custom AI chat agents to deliver truly human-like customer experience on Google Kubernetes Engine and NVIDIA NIM and NVIDIA A100 GPUs. GKE has allowed LiveX AI to ramp up

YouTube

Christian Gorke, VP and Head of Cyber Center of Excellence at Commerzbank, shares insights from their cloud migration journey, highlighting key lessons learned and practical advice for organizations moving to the cloud. Discover the importance of

YouTube

Tutorial: Fine-tune Gemma 2 with Hugging Face TRL on GKE → https://goo.gle/3ZcLQiL Hugging Face Deep Learning containers → https://goo.gle/3Otahn3 Docs: Hugging Face TRL → https://goo.gle/3ZgsyJs Supervised fine-tuning of a pre-trained language model

YouTube

Read the blog post → https://goo.gle/3V41A6f Vertex AI or Google Kubernetes Engine? Which platform is the best fit for unleashing the power of LLMs in your applications? Find out in this video. Chapters: 0:00 - Intro 0:39 - Why do AI with

YouTube

Tutorial: Configure autoscaling for TGI on GKE → https://goo.gle/3Z9a7WK Learn more about observability on GKE → https://goo.gle/4951bWY Hugging Face TGI (Text Generation Inference) → https://goo.gle/4hXScLk Text Generation Inference (TGI) is a

YouTube

*Summary:* Martina Löfqvist, head of strategy and partnerships at Picterra, shares how Google Cloud is helping this leading geospatial AI company to build a more sustainable future. With Google Cloud, Picterra is enabling quicker ways to analyze

YouTube

Getting started with HUGS on Google Cloud → https://goo.gle/3OhK8aL HUGS in the Google Cloud Marketplace → https://goo.gle/3ZbVPG6 Blog: Introducing HUGS → https://goo.gle/4eCs5Xl Deploy open models on Google Kubernetes Engine with the power of

YouTube

Tutorial: Serve Gemma on GKE with TGI → https://goo.gle/4fFKt2Q Learn more about TGI (text generation inference) from Hugging Face → https://goo.gle/4e7qusz Hugging Face Deep Learning containers for Google Cloud → https://goo.gle/3BPaYUM Text

YouTube

The size of generative AI models is constantly increasing, with current models reaching hundreds of billions of parameters and the most advanced ones approaching 2 trillion. Training such large models on modern accelerators necessitates clusters

YouTube

Summary: On-premises computing is not new, but extending AI enabled cloud infrastructure from the cloud to on-premises deployments is. According to Omdia research commissioned by Google Cloud, 38% of banking institutions plan to deploy AI to hundreds

YouTube

Hugging Face Deep Learning Containers docs → https://goo.gle/4dKMtoU Updates every month (release notes) → https://goo.gle/3YmYzPi Hugging Face Expert Support Program → https://goo.gle/3U9jVP1 The Hugging Face Deep Learning Containers have everything

YouTube

Google Distributed Cloud is excited to announce the latest addition to our “AI anywhere” video series! This insightful video dives deep into the challenges of modernizing on-premises high-performance and AI workloads and how Google Distributed Cloud

YouTube

Next DLP is a user-centric, flexible, cloud-native, AI/ML-powered solution built for today’s threat landscape. Hear from their Engineer, Chung Poon, as he explains why Google Cloud's Kubernetes Engine was the perfect fit for their SaaS platform

YouTube

For more information, please visit Google Cloud Mainframe Modernization → https://goo.gle/3SGO7Qy Google Cloud Mainframe Refactor for batch allows customers to modernize mainframe batch applications, written in COBOL and JCL, to Google Cloud, and

YouTube

A Filestore instance is a fully managed network-attached storage (NAS) system cloud developers can use with their Google Kubernetes Engine instances. Watch along and learn about the seamless integration of Google Cloud’s Filestore as a persistent

YouTube

Jürgen Imhoff, Global Leadership Partners & Alliances at Bosch Global Software Technologies, explains how Bosch Software and Digital Solutions will help businesses globally integrate sustainability into operations through AI-powered data and

YouTube

𝗦𝘂𝗺𝗺𝗮𝗿𝘆: Alex Gallagher, VP of cloud for Canonical, the publisher of Ubuntu, shares how Google Cloud is helping its popular Linux operating system deliver trusted, secure tools and technologies to millions. Google Cloud’s AI-ready infrastructure is

YouTube

Enroll today and architect the future of the cloud! ☁️ Architecting with Google Kubernetes Engine: Workloads → https://goo.gle/gke-work Architecting with Google Kubernetes Engine: Production → https://goo.gle/gke-prod Cloud architects are

YouTube

Getting Started with GKE → https://goo.gle/4brsL0c Take the Architecting with GKE: Workloads course → https://goo.gle/gke-work Take the Architecting with GKE: Production course → https://goo.gle/gke-prod This video explores various deployment

YouTube

Getting Started with GKE → https://goo.gle/4brsL0c Take the Architecting with GKE: Workloads course → https://goo.gle/gke-work Take the Architecting with GKE: Production course → https://goo.gle/gke-prod Ever wondered what ""kubectl"" is and why it's

YouTube

Getting Started with GKE → https://goo.gle/4brsL0c Take the Architecting with GKE: Workloads course → https://goo.gle/gke-work Take the Architecting with GKE: Production course → https://goo.gle/gke-prod Tired of maintaining complex Kubernetes

YouTube

Getting Started with GKE → https://goo.gle/4brsL0c Take the Architecting with GKE: Workloads course → https://goo.gle/gke-work Take the Architecting with GKE: Production course → https://goo.gle/gke-prod GKE clusters explained! Learn about Kubernetes

YouTube

Ditch legacy and embrace freedom with AlloyDB Omni, your hybrid and multicloud enterprise database. Run anywhere, from data centers to the public clouds of your choice, and unlock performance and ease of management. Elevate your apps with HTAP and

YouTube

Developers choose PostgreSQL for its power, ecosystem, and enterprise-grade features. In this session, unlock best practices for building apps of all kinds with PostgreSQL. We'll cover Google Kubernetes Engine deployments, pgvector for generative AI