--- title: Accelerate AI/ML workloads with Kubeflow and System Architecture description: AI/ML model training is becoming more time consuming due to the increase in data needed to achieve higher accuracy levels. url: https://canonical.com/blog/accelerate-ai-ml-workloads-with-kubeflow-and-system-architecture?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [Alex Cattle](https://canonical.com/blog/author/cattleaej "More about Alex Cattle") 1 April 2020 # Accelerate AI/ML workloads with Kubeflow and System Architecture [artificial intelligence](https://canonical.com/blog/tag/artificial-intelligence) [Kubeflow](https://canonical.com/blog/tag/kubeflow) [machine learning](https://canonical.com/blog/tag/machine-learning) [Systems management](https://canonical.com/blog/tag/systems-management) --- Share the article AI/ML model training is becoming more time consuming due to the increase in data needed to achieve higher accuracy levels. This is compounded by growing business expectations to frequently re-train and tune models as new data is available. The two combined is resulting in heavier compute demands for AI/ML applications. This trend is set to continue and is leading data center companies to prepare for greater compute and memory-intensive loads for AI. Getting the right hardware and configuration can overcome these challenges. In this webinar, you will learn: * Kubeflow and AI workload automation * System architecture optimized for AI/ML * Choices to balance system architecture, budget, IT staff time and staff training. * Software tools to support the chosen system architecture [Watch the webinar](https://www.brighttalk.com/webcast/6793/394378?utm_source=Blog&utm_medium=Blog&utm_campaign=CY20_DC_Partner_AI_WBN_Supermicro) ## Sign up for our newsletter Get the latest Canonical news and updates in your inbox. Work email: \*I agree to receive information about Canonical's products and services. By submitting this form, I confirm that I have read and agree to [Canonical's Privacy Policy](https://canonical.com/legal/dataprivacy). Sign up ## Share on --- ## Related posts [### Accelerating AI with open source machine learning infrastructure](https://canonical.com/blog/accelerating-ai-with-open-source-machine-learning-infrastructure) The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference... [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea) 20 March 2025 [### Canonical announces fully Managed Kubeflow AI operations platform on the Microsoft Azure Marketplace](https://canonical.com/blog/managed-kubeflow-microsoft-azure-canonical-release) Canonical has announced the general availability of Managed Kubeflow on the Microsoft Azure Marketplace. This fully managed MLOps platform allows enterprise AI teams to deploy... [Massimiliano Gori](https://canonical.com/blog/author/massigori) 21 May 2026 [### Let’s meet at AI4 and talk about AI infrastructure with open source](https://canonical.com/blog/canonical-ubuntu-ai4-2025) Date: 11 – 13 August 2025 Booth: 353 Book a meeting You know the old saying: what happens in Vegas… transforms your AI journey with trusted open source. On August 11-13,... [victoriaantipova](https://canonical.com/blog/author/victoriaantipova) 14 July 2025 [### Announcing Charmed Kubeflow 1.10](https://canonical.com/blog/announcing-charmed-kubeflow-1-10) Canonical proudly announces the release of Charmed Kubeflow 1.10 [Stefano Fioravanzo](https://canonical.com/blog/author/stefanofioravanzo) 8 April 2025